ZeroToMastery | Python for Business Data Analytics & Intelligence [FCO]
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ZeroToMastery | Python for Business Data Analytics & Intelligence [FCO]
0. Websites you may like/1. Get Free Premium Accounts Daily On Our Discord Server!.txt
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1 Section 1 - Introduction/Exercise_ Meet Your Classmates and Instructor.pdf
1 Section 1 - Introduction/Introduction/Introduction.mp4
1 Section 1 - Introduction/Python for Business Analytics & Intelligence/Python for Business Analytics & Intelligence.mp4
1 Section 1 - Introduction/Setting up the Course Material/Setting up the Course Material.mp4
1 Section 1 - Introduction/The Modern Day Business Analyst/The Modern Day Business Analyst.mp4
10 Section 8 - Matching/CASE STUDY - Catholic Schools & Standardized Tests (Briefing)/CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp4
10 Section 8 - Matching/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
10 Section 8 - Matching/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
10 Section 8 - Matching/Common Support Region/Common Support Region.mp4
10 Section 8 - Matching/Matching - Game Plan/Matching - Game Plan.mp4
10 Section 8 - Matching/Matching/Matching.mp4
10 Section 8 - Matching/My Experience with Matching/My Experience with Matching.mp4
10 Section 8 - Matching/Python - Chi-square Loop/Python - Chi-square Loop.mp4
10 Section 8 - Matching/Python - Chi-square Test/Python - Chi-square Test.mp4
10 Section 8 - Matching/Python - Cleaning and Preparing Dataset/Python - Cleaning and Preparing Dataset.mp4
10 Section 8 - Matching/Python - Common Support Region Visualization/Python - Common Support Region Visualization.mp4
10 Section 8 - Matching/Python - Comparing Means/Python - Comparing Means.mp4
10 Section 8 - Matching/Python - Directory and Libraries/Python - Directory and Libraries.mp4
10 Section 8 - Matching/Python - Education Variables/Python - Education Variables.mp4
10 Section 8 - Matching/Python - Loading Data/Python - Loading Data.mp4
10 Section 8 - Matching/Python - Logistic Regression and Debugging/Python - Logistic Regression and Debugging.mp4
10 Section 8 - Matching/Python - Matching/Python - Matching.mp4
10 Section 8 - Matching/Python - Other Variables/Python - Other Variables.mp4
10 Section 8 - Matching/Python - Outcome Visualization/Python - Outcome Visualization.mp4
10 Section 8 - Matching/Python - Preparing for Common Support Region/Python - Preparing for Common Support Region.mp4
10 Section 8 - Matching/Python - Race Variable Transformation/Python - Race Variable Transformation.mp4
10 Section 8 - Matching/Python - Robustness Check - Removing 1 confounder/Python - Robustness Check - Removing 1 confounder.mp4
10 Section 8 - Matching/Python - Robustness Check - Repeated experiments/Python - Robustness Check - Repeated experiments.mp4
10 Section 8 - Matching/Python - T-Test Loop/Python - T-Test Loop.mp4
10 Section 8 - Matching/Python - T-Test/Python - T-Test.mp4
10 Section 8 - Matching/Robustness Checks/Robustness Checks.mp4
10 Section 8 - Matching/The Curse of Dimensionality/The Curse of Dimensionality.mp4
10 Section 8 - Matching/Unconfoundedness/Unconfoundedness.mp4
11 PART C_ SEGMENTATION/What is Segmentation and why is it important.pdf
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CASE STUDY - Online Shopping (Briefing)/CASE STUDY - Online Shopping (Briefing).mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Applying RFM Function/Python - Applying RFM Function.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Creating Sales Variable/Python - Creating Sales Variable.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Customer Level Aggregation/Python - Customer Level Aggregation.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Date Variable/Python - Date Variable.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Directory and Libraries/Python - Directory and Libraries.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Loading Data/Python - Loading Data.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Monetary Variable/Python - Monetary Variable.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Quartiles/Python - Quartiles.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Function/Python - RFM Function.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Score/Python - RFM Score.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Results Summary/Python - Results Summary.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Tidying up Dataframe/Python - Tidying up Dataframe.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM - Game Plan/RFM - Game Plan.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM Model/RFM Model.mp4
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Value Based Segmentation/Value Based Segmentation.mp4
13 Section 10 - Gaussian Mixture/AIC and BIC/AIC and BIC.mp4
13 Section 10 - Gaussian Mixture/CASE STUDY - Credit Cards #1 (Briefing)/CASE STUDY - Credit Cards #1 (Briefing).mp4
13 Section 10 - Gaussian Mixture/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
13 Section 10 - Gaussian Mixture/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
13 Section 10 - Gaussian Mixture/Clustering/Clustering.mp4
13 Section 10 - Gaussian Mixture/Gaussian Mixture - Game Plan/Gaussian Mixture - Game Plan.mp4
13 Section 10 - Gaussian Mixture/Gaussian Mixture Model/Gaussian Mixture Model.mp4
13 Section 10 - Gaussian Mixture/My Experience with Segmentation/My Experience with Segmentation.mp4
13 Section 10 - Gaussian Mixture/Python - Cluster Prediction and Assignment/Python - Cluster Prediction and Assignment.mp4
13 Section 10 - Gaussian Mixture/Python - Directory and Data/Python - Directory and Data.mp4
13 Section 10 - Gaussian Mixture/Python - Gaussian Mixture Model/Python - Gaussian Mixture Model.mp4
13 Section 10 - Gaussian Mixture/Python - Interpretation/Python - Interpretation.mp4
13 Section 10 - Gaussian Mixture/Python - Load Data/Python - Load Data.mp4
13 Section 10 - Gaussian Mixture/Python - Optimal Number of Clusters/Python - Optimal Number of Clusters.mp4
13 Section 10 - Gaussian Mixture/Python - Transform Character variables/Python - Transform Character variables.mp4
14 PART D_ PREDICTIVE ANALYTICS/What are Predictive Analytics and why are they important.pdf
15 Section 11 - Random Forest/CASE STUDY - Credit Cards #2 (Briefing)/CASE STUDY - Credit Cards #2 (Briefing).mp4
15 Section 11 - Random Forest/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 1)/CHALLENGE - Solutions (Part 1).mp4
15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 2)/CHALLENGE - Solutions (Part 2).mp4
15 Section 11 - Random Forest/Ensemble Learning and Random Forest/Ensemble Learning and Random Forest.mp4
15 Section 11 - Random Forest/How Decision Trees Work/How Decision Trees Work.mp4
15 Section 11 - Random Forest/Parameter Tuning/Parameter Tuning.mp4
15 Section 11 - Random Forest/Python - Classification Report and F1 score/Python - Classification Report and F1 score.mp4
15 Section 11 - Random Forest/Python - Directory and Libraries/Python - Directory and Libraries.mp4
15 Section 11 - Random Forest/Python - Feature Importance/Python - Feature Importance.mp4
15 Section 11 - Random Forest/Python - Isolate X and Y/Python - Isolate X and Y.mp4
15 Section 11 - Random Forest/Python - Loading Data/Python - Loading Data.mp4
15 Section 11 - Random Forest/Python - Parameter Grid/Python - Parameter Grid.mp4
15 Section 11 - Random Forest/Python - Parameter Tuning/Python - Parameter Tuning.mp4
15 Section 11 - Random Forest/Python - Predictions/Python - Predictions.mp4
15 Section 11 - Random Forest/Python - Random Forest Model/Python - Random Forest Model.mp4
15 Section 11 - Random Forest/Python - Summary Statistics/Python - Summary Statistics.mp4
15 Section 11 - Random Forest/Python - Training and Test Set/Python - Training and Test Set.mp4
15 Section 11 - Random Forest/Python - Transform Object into Numerical Variables/Python - Transform Object into Numerical Variables.mp4
15 Section 11 - Random Forest/Random Forest - Game Plan/Random Forest - Game Plan.mp4
15 Section 11 - Random Forest/Random Forest Quirks/Random Forest Quirks.mp4
16 Section 12 - Facebook Prophet/Additive vs [TutFlix.ORG]. Multiplicative Seasonality/Additive vs. Multiplicative Seasonality.mp4
16 Section 12 - Facebook Prophet/CASE STUDY - Wikipedia (Briefing) [TutFlix.ORG]/CASE STUDY - Wikipedia (Briefing).mp4
16 Section 12 - Facebook Prophet/CHALLENGE - Introduction [TutFlix.ORG]/CHALLENGE - Introduction.mp4
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 1) [TutFlix.ORG]/CHALLENGE - Solutions (Part 1).mp4
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 2) [TutFlix.ORG]/CHALLENGE - Solutions (Part 2).mp4
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 3) [TutFlix.ORG]/CHALLENGE - Solutions (Part 3).mp4
16 Section 12 - Facebook Prophet/Cross-validation [TutFlix.ORG]/Cross-validation.mp4
16 Section 12 - Facebook Prophet/Dynamic Holidays [TutFlix.ORG]/Dynamic Holidays.mp4
16 Section 12 - Facebook Prophet/Facebook Prophet - Game Plan [TutFlix.ORG]/Facebook Prophet - Game Plan.mp4
16 Section 12 - Facebook Prophet/Facebook Prophet Model [TutFlix.ORG]/Facebook Prophet Model.mp4
16 Section 12 - Facebook Prophet/Facebook Prophet Parameters [TutFlix.ORG]/Facebook Prophet Parameters.mp4
16 Section 12 - Facebook Prophet/Facebook Prophet [TutFlix.ORG]/Facebook Prophet.mp4
16 Section 12 - Facebook Prophet/Forecasting at Uber [TutFlix.ORG]/Forecasting at Uber.mp4
16 Section 12 - Facebook Prophet/Parameters to tune [TutFlix.ORG]/Parameters to tune.mp4
16 Section 12 - Facebook Prophet/Python - Accuracy Assessment [TutFlix.ORG]/Python - Accuracy Assessment.mp4
16 Section 12 - Facebook Prophet/Python - Black Friday [TutFlix.ORG]/Python - Black Friday.mp4
16 Section 12 - Facebook Prophet/Python - Combining Events and Preparing Dataframe [TutFlix.ORG]/Python - Combining Events and Preparing Dataframe.mp4
16 Section 12 - Facebook Prophet/Python - Cross-validation [TutFlix.ORG]/Python - Cross-validation.mp4
16 Section 12 - Facebook Prophet/Python - Directory and Libraries [TutFlix.ORG]/Python - Directory and Libraries.mp4
16 Section 12 - Facebook Prophet/Python - Easter Holidays [TutFlix.ORG]/Python - Easter Holidays.mp4
16 Section 12 - Facebook Prophet/Python - Forecasting [TutFlix.ORG]/Python - Forecasting.mp4
16 Section 12 - Facebook Prophet/Python - Future Dataframe [TutFlix.ORG]/Python - Future Dataframe.mp4
16 Section 12 - Facebook Prophet/Python - Loading Data [TutFlix.ORG]/Python - Loading Data.mp4
16 Section 12 - Facebook Prophet/Python - Parameter Grid [TutFlix.ORG]/Python - Parameter Grid.mp4
16 Section 12 - Facebook Prophet/Python - Parameter Tuning [TutFlix.ORG]/Python - Parameter Tuning.mp4
16 Section 12 - Facebook Prophet/Python - Regressor Coefficients [TutFlix.ORG]/Python - Regressor Coefficients.mp4
16 Section 12 - Facebook Prophet/Python - Renaming Variables [TutFlix.ORG]/Python - Renaming Variables.mp4
16 Section 12 - Facebook Prophet/Python - Training and Test Set [TutFlix.ORG]/Python - Training and Test Set.mp4
16 Section 12 - Facebook Prophet/Python - Transforming Date Variable [TutFlix.ORG]/Python - Transforming Date Variable.mp4
16 Section 12 - Facebook Prophet/Python - Visualization [TutFlix.ORG]/Python - Visualization.mp4
16 Section 12 - Facebook Prophet/Structural Time Series [TutFlix.ORG]/Structural Time Series.mp4
16 Section 12 - Facebook Prophet/Training and Test Set [TutFlix.ORG]/Training and Test Set.mp4
17 Where To Go From Here/Thank You!/Thank You!.mp4
2 PART A_ STATISTICS/What are Statistics and why are they important.pdf
3 Section 2 - Basic Statistics/Arithmetic Mean/Arithmetic Mean.mp4
3 Section 2 - Basic Statistics/Basic Statistics - Game Plan/Basic Statistics - Game Plan.mp4
3 Section 2 - Basic Statistics/CASE STUDY - Moneyball (Briefing)/CASE STUDY - Moneyball (Briefing).mp4
3 Section 2 - Basic Statistics/CASE STUDY - Moneyball/CASE STUDY - Moneyball.mp4
3 Section 2 - Basic Statistics/Correlation/Correlation.mp4
3 Section 2 - Basic Statistics/EXERCISE - Python - Correlation/EXERCISE - Python - Correlation.mp4
3 Section 2 - Basic Statistics/EXERCISE - Python - Mean/EXERCISE - Python - Mean.mp4
3 Section 2 - Basic Statistics/EXERCISE - Python - Median/EXERCISE - Python - Median.mp4
3 Section 2 - Basic Statistics/EXERCISE - Python - Mode/EXERCISE - Python - Mode.mp4
3 Section 2 - Basic Statistics/EXERCISE - Python - Standard Deviation/EXERCISE - Python - Standard Deviation.mp4
3 Section 2 - Basic Statistics/Median and Mode/Median and Mode.mp4
3 Section 2 - Basic Statistics/Python - Correlation/Python - Correlation.mp4
3 Section 2 - Basic Statistics/Python - Directory, Libraries and Data/Python - Directory, Libraries and Data.mp4
3 Section 2 - Basic Statistics/Python - Mean/Python - Mean.mp4
3 Section 2 - Basic Statistics/Python - Median/Python - Median.mp4
3 Section 2 - Basic Statistics/Python - Mode/Python - Mode.mp4
3 Section 2 - Basic Statistics/Python - Standard Deviation/Python - Standard Deviation.mp4
3 Section 2 - Basic Statistics/Standard Deviation/Standard Deviation.mp4
4 Section 3 - Intermediary Statistics/CASE STUDY - Remote Work Predictions (Briefing)/CASE STUDY - Remote Work Predictions (Briefing).mp4
4 Section 3 - Intermediary Statistics/CASE STUDY - Wine Quality (Briefing)/CASE STUDY - Wine Quality (Briefing).mp4
4 Section 3 - Intermediary Statistics/Chi-square test/Chi-square test.mp4
4 Section 3 - Intermediary Statistics/Confidence Interval/Confidence Interval.mp4
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Chi-square/EXERCISE - Python - Chi-square.mp4
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Confidence Interval/EXERCISE - Python - Confidence Interval.mp4
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Normal Distribution/EXERCISE - Python - Normal Distribution.mp4
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Shapiro-Wilks/EXERCISE - Python - Shapiro-Wilks.mp4
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Standard Error/EXERCISE - Python - Standard Error.mp4
4 Section 3 - Intermediary Statistics/EXERCISE - Python - T-test/EXERCISE - Python - T-test.mp4
4 Section 3 - Intermediary Statistics/Intermediary Statistics - Game Plan/Intermediary Statistics - Game Plan.mp4
4 Section 3 - Intermediary Statistics/Normal Distribution/Normal Distribution.mp4
4 Section 3 - Intermediary Statistics/P-Value/P-Value.mp4
4 Section 3 - Intermediary Statistics/Powerposing and p-hacking/Powerposing and p-hacking.mp4
4 Section 3 - Intermediary Statistics/Python - Chi-square test/Python - Chi-square test.mp4
4 Section 3 - Intermediary Statistics/Python - Confidence Interval/Python - Confidence Interval.mp4
4 Section 3 - Intermediary Statistics/Python - Normal Distribution Visualization/Python - Normal Distribution Visualization.mp4
4 Section 3 - Intermediary Statistics/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
4 Section 3 - Intermediary Statistics/Python - Shapiro-Wilks Test/Python - Shapiro-Wilks Test.mp4
4 Section 3 - Intermediary Statistics/Python - Standard Error/Python - Standard Error.mp4
4 Section 3 - Intermediary Statistics/Python - T-test/Python - T-test.mp4
4 Section 3 - Intermediary Statistics/Shapiro-Wilks Test/Shapiro-Wilks Test.mp4
4 Section 3 - Intermediary Statistics/Standard Error of the Mean/Standard Error of the Mean.mp4
4 Section 3 - Intermediary Statistics/T-test/T-test.mp4
4 Section 3 - Intermediary Statistics/Z-Score/Z-Score.mp4
5 Section 4 - Linear Regression/CASE STUDY - Diamonds (Briefing)/CASE STUDY - Diamonds (Briefing).mp4
5 Section 4 - Linear Regression/Dummy Variable Trap/Dummy Variable Trap.mp4
5 Section 4 - Linear Regression/EXERCISE - Python - Linear Regression/EXERCISE - Python - Linear Regression.mp4
5 Section 4 - Linear Regression/Linear Regression - Game Plan/Linear Regression - Game Plan.mp4
5 Section 4 - Linear Regression/Linear Regression Output/Linear Regression Output.mp4
5 Section 4 - Linear Regression/Linear Regression/Linear Regression.mp4
5 Section 4 - Linear Regression/Python - Adding Constant/Python - Adding Constant.mp4
5 Section 4 - Linear Regression/Python - Dummy Variable/Python - Dummy Variable.mp4
5 Section 4 - Linear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4
5 Section 4 - Linear Regression/Python - Linear Regression Model and Summary/Python - Linear Regression Model and Summary.mp4
5 Section 4 - Linear Regression/Python - Plotting Regression/Python - Plotting Regression.mp4
5 Section 4 - Linear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
6 Section 5 - Multilinear Regression/Accuracy KPIs (Key Performance Indicators)/Accuracy KPIs (Key Performance Indicators).mp4
6 Section 5 - Multilinear Regression/CASE STUDY - Professors' Salary (Briefing)/CASE STUDY - Professors' Salary (Briefing).mp4
6 Section 5 - Multilinear Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
6 Section 5 - Multilinear Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
6 Section 5 - Multilinear Regression/Multilinear Regression - Game Plan/Multilinear Regression - Game Plan.mp4
6 Section 5 - Multilinear Regression/Outliers/Outliers.mp4
6 Section 5 - Multilinear Regression/Python - Accuracy Assessment/Python - Accuracy Assessment.mp4
6 Section 5 - Multilinear Regression/Python - Adding Constant/Python - Adding Constant.mp4
6 Section 5 - Multilinear Regression/Python - Categorical Variables/Python - Categorical Variables.mp4
6 Section 5 - Multilinear Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4
6 Section 5 - Multilinear Regression/Python - Creating Dummy Variables/Python - Creating Dummy Variables.mp4
6 Section 5 - Multilinear Regression/Python - For Loop/Python - For Loop.mp4
6 Section 5 - Multilinear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4
6 Section 5 - Multilinear Regression/Python - Model Predictions/Python - Model Predictions.mp4
6 Section 5 - Multilinear Regression/Python - Multilinear Regression/Python - Multilinear Regression.mp4
6 Section 5 - Multilinear Regression/Python - Plotting Continuous Variables/Python - Plotting Continuous Variables.mp4
6 Section 5 - Multilinear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
6 Section 5 - Multilinear Regression/Python - Summary Statistics/Python - Summary Statistics.mp4
6 Section 5 - Multilinear Regression/Python - Train and Test Split/Python - Train and Test Split.mp4
6 Section 5 - Multilinear Regression/The Concept of Multilinear Regression/The Concept of Multilinear Regression.mp4
6 Section 5 - Multilinear Regression/Training and Test Set/Training and Test Set.mp4
6 Section 5 - Multilinear Regression/Under and Over Fitting/Under and Over Fitting.mp4
7 Section 6 - Logistic Regression/CASE STUDY - Spam Emails (Briefing)/CASE STUDY - Spam Emails (Briefing).mp4
7 Section 6 - Logistic Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
7 Section 6 - Logistic Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
7 Section 6 - Logistic Regression/Confusion Matrix/Confusion Matrix.mp4
7 Section 6 - Logistic Regression/How to Read Logistic Regression Coefficients/How to Read Logistic Regression Coefficients.mp4
7 Section 6 - Logistic Regression/Logistic Regression - Game Plan/Logistic Regression - Game Plan.mp4
7 Section 6 - Logistic Regression/Logistic Regression/Logistic Regression.mp4
7 Section 6 - Logistic Regression/Python - Classification Report/Python - Classification Report.mp4
7 Section 6 - Logistic Regression/Python - Confusion Matrix/Python - Confusion Matrix.mp4
7 Section 6 - Logistic Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4
7 Section 6 - Logistic Regression/Python - Function to Read Coefficients/Python - Function to Read Coefficients.mp4
7 Section 6 - Logistic Regression/Python - Histogram and Outlier Removal/Python - Histogram and Outlier Removal.mp4
7 Section 6 - Logistic Regression/Python - Logistic Regression/Python - Logistic Regression.mp4
7 Section 6 - Logistic Regression/Python - Manual Accuracy Assessment/Python - Manual Accuracy Assessment.mp4
7 Section 6 - Logistic Regression/Python - Predictions/Python - Predictions.mp4
7 Section 6 - Logistic Regression/Python - Prepare X and Y/Python - Prepare X and Y.mp4
7 Section 6 - Logistic Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
7 Section 6 - Logistic Regression/Python - Summary Statistics/Python - Summary Statistics.mp4
7 Section 6 - Logistic Regression/Python - Training and Test Set/Python - Training and Test Set.mp4
7 Section 6 - Logistic Regression/Python - Transforming Dependent Variable/Python - Transforming Dependent Variable.mp4
8 PART B_ ECONOMETRICS & CAUSAL INFERENCE/What are Econometrics & Causal Inference and why are they important.pdf
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Assumptions/Assumptions.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CASE STUDY - Bitcoin Pricing (Briefing)/CASE STUDY - Bitcoin Pricing (Briefing).mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Causal Impact Step-by-Step/Causal Impact Step-by-Step.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Correlation Recap and Stationarity/Correlation Recap and Stationarity.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Difference-in-Differences Framework/Difference-in-Differences Framework.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Google Causal Impact - Game Plan/Google Causal Impact - Game Plan.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Interpretation of Results/Interpretation of Results.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Bitcoin Price loading/Python - Bitcoin Price loading.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Correlation/Python - Correlation.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Defining Dates/Python - Defining Dates.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact Setup/Python - Google Causal Impact Setup.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact/Python - Google Causal Impact.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Impact Results/Python - Impact Results.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Installing and Importing Libraries/Python - Installing and Importing Libraries.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Load Control Groups/Python - Load Control Groups.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing DataFrame/Python - Preparing DataFrame.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing for Correlation Matrix/Python - Preparing for Correlation Matrix.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Stationarity/Python - Stationarity.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Time Series Data/Time Series Data.mp4
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Why Econometrics and Causal Inference/Why Econometrics and Causal Inference.mp4
0. Websites you may like/1. Get Free Premium Accounts Daily On Our Discord Server!.txt
- 1.32 KB
0. Websites you may like/2. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url
- 377 Bytes
0. Websites you may like/3. FTUApps.com Download Cracked Developers Applications For Free.url
- 239 Bytes
0. Websites you may like/4. FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url
- 290 Bytes
1 Section 1 - Introduction/Exercise_ Meet Your Classmates and Instructor.pdf
- 250.31 KB
1 Section 1 - Introduction/Introduction/Introduction.mp4
- 25.1 MB
1 Section 1 - Introduction/Python for Business Analytics & Intelligence/Python for Business Analytics & Intelligence.mp4
- 169.81 MB
1 Section 1 - Introduction/Setting up the Course Material/Setting up the Course Material.mp4
- 34.51 MB
1 Section 1 - Introduction/The Modern Day Business Analyst/The Modern Day Business Analyst.mp4
- 10.96 MB
10 Section 8 - Matching/CASE STUDY - Catholic Schools & Standardized Tests (Briefing)/CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp4
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10 Section 8 - Matching/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
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10 Section 8 - Matching/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
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10 Section 8 - Matching/Common Support Region/Common Support Region.mp4
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10 Section 8 - Matching/Matching - Game Plan/Matching - Game Plan.mp4
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10 Section 8 - Matching/Matching/Matching.mp4
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10 Section 8 - Matching/My Experience with Matching/My Experience with Matching.mp4
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10 Section 8 - Matching/Python - Chi-square Loop/Python - Chi-square Loop.mp4
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10 Section 8 - Matching/Python - Chi-square Test/Python - Chi-square Test.mp4
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10 Section 8 - Matching/Python - Cleaning and Preparing Dataset/Python - Cleaning and Preparing Dataset.mp4
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10 Section 8 - Matching/Python - Common Support Region Visualization/Python - Common Support Region Visualization.mp4
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10 Section 8 - Matching/Python - Comparing Means/Python - Comparing Means.mp4
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10 Section 8 - Matching/Python - Directory and Libraries/Python - Directory and Libraries.mp4
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10 Section 8 - Matching/Python - Education Variables/Python - Education Variables.mp4
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10 Section 8 - Matching/Python - Loading Data/Python - Loading Data.mp4
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10 Section 8 - Matching/Python - Logistic Regression and Debugging/Python - Logistic Regression and Debugging.mp4
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10 Section 8 - Matching/Python - Matching/Python - Matching.mp4
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10 Section 8 - Matching/Python - Other Variables/Python - Other Variables.mp4
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10 Section 8 - Matching/Python - Outcome Visualization/Python - Outcome Visualization.mp4
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10 Section 8 - Matching/Python - Preparing for Common Support Region/Python - Preparing for Common Support Region.mp4
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10 Section 8 - Matching/Python - Race Variable Transformation/Python - Race Variable Transformation.mp4
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10 Section 8 - Matching/Python - Robustness Check - Removing 1 confounder/Python - Robustness Check - Removing 1 confounder.mp4
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10 Section 8 - Matching/Python - Robustness Check - Repeated experiments/Python - Robustness Check - Repeated experiments.mp4
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10 Section 8 - Matching/Python - T-Test Loop/Python - T-Test Loop.mp4
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10 Section 8 - Matching/Python - T-Test/Python - T-Test.mp4
- 26.22 MB
10 Section 8 - Matching/Robustness Checks/Robustness Checks.mp4
- 4.64 MB
10 Section 8 - Matching/The Curse of Dimensionality/The Curse of Dimensionality.mp4
- 5.28 MB
10 Section 8 - Matching/Unconfoundedness/Unconfoundedness.mp4
- 5.21 MB
11 PART C_ SEGMENTATION/What is Segmentation and why is it important.pdf
- 208.47 KB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CASE STUDY - Online Shopping (Briefing)/CASE STUDY - Online Shopping (Briefing).mp4
- 1.56 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
- 10.93 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
- 38.39 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Applying RFM Function/Python - Applying RFM Function.mp4
- 8.58 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Creating Sales Variable/Python - Creating Sales Variable.mp4
- 14.27 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Customer Level Aggregation/Python - Customer Level Aggregation.mp4
- 21.55 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Date Variable/Python - Date Variable.mp4
- 11.49 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Directory and Libraries/Python - Directory and Libraries.mp4
- 9.73 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Loading Data/Python - Loading Data.mp4
- 21.21 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Monetary Variable/Python - Monetary Variable.mp4
- 5.21 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Quartiles/Python - Quartiles.mp4
- 23.03 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Function/Python - RFM Function.mp4
- 11.38 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Score/Python - RFM Score.mp4
- 6.56 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Results Summary/Python - Results Summary.mp4
- 14.93 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Tidying up Dataframe/Python - Tidying up Dataframe.mp4
- 12.12 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM - Game Plan/RFM - Game Plan.mp4
- 2.33 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM Model/RFM Model.mp4
- 8.05 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Value Based Segmentation/Value Based Segmentation.mp4
- 4.77 MB
13 Section 10 - Gaussian Mixture/AIC and BIC/AIC and BIC.mp4
- 5.84 MB
13 Section 10 - Gaussian Mixture/CASE STUDY - Credit Cards #1 (Briefing)/CASE STUDY - Credit Cards #1 (Briefing).mp4
- 2.64 MB
13 Section 10 - Gaussian Mixture/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
- 36.85 MB
13 Section 10 - Gaussian Mixture/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
- 216.41 MB
13 Section 10 - Gaussian Mixture/Clustering/Clustering.mp4
- 4.65 MB
13 Section 10 - Gaussian Mixture/Gaussian Mixture - Game Plan/Gaussian Mixture - Game Plan.mp4
- 2.76 MB
13 Section 10 - Gaussian Mixture/Gaussian Mixture Model/Gaussian Mixture Model.mp4
- 7.99 MB
13 Section 10 - Gaussian Mixture/My Experience with Segmentation/My Experience with Segmentation.mp4
- 7.22 MB
13 Section 10 - Gaussian Mixture/Python - Cluster Prediction and Assignment/Python - Cluster Prediction and Assignment.mp4
- 12.85 MB
13 Section 10 - Gaussian Mixture/Python - Directory and Data/Python - Directory and Data.mp4
- 14.82 MB
13 Section 10 - Gaussian Mixture/Python - Gaussian Mixture Model/Python - Gaussian Mixture Model.mp4
- 9.13 MB
13 Section 10 - Gaussian Mixture/Python - Interpretation/Python - Interpretation.mp4
- 103.98 MB
13 Section 10 - Gaussian Mixture/Python - Load Data/Python - Load Data.mp4
- 20.42 MB
13 Section 10 - Gaussian Mixture/Python - Optimal Number of Clusters/Python - Optimal Number of Clusters.mp4
- 29.28 MB
13 Section 10 - Gaussian Mixture/Python - Transform Character variables/Python - Transform Character variables.mp4
- 14.19 MB
14 PART D_ PREDICTIVE ANALYTICS/What are Predictive Analytics and why are they important.pdf
- 186.1 KB
15 Section 11 - Random Forest/CASE STUDY - Credit Cards #2 (Briefing)/CASE STUDY - Credit Cards #2 (Briefing).mp4
- 1.18 MB
15 Section 11 - Random Forest/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
- 34.09 MB
15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 1)/CHALLENGE - Solutions (Part 1).mp4
- 54.48 MB
15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 2)/CHALLENGE - Solutions (Part 2).mp4
- 48.99 MB
15 Section 11 - Random Forest/Ensemble Learning and Random Forest/Ensemble Learning and Random Forest.mp4
- 4.35 MB
15 Section 11 - Random Forest/How Decision Trees Work/How Decision Trees Work.mp4
- 9.07 MB
15 Section 11 - Random Forest/Parameter Tuning/Parameter Tuning.mp4
- 5.94 MB
15 Section 11 - Random Forest/Python - Classification Report and F1 score/Python - Classification Report and F1 score.mp4
- 24.94 MB
15 Section 11 - Random Forest/Python - Directory and Libraries/Python - Directory and Libraries.mp4
- 9.84 MB
15 Section 11 - Random Forest/Python - Feature Importance/Python - Feature Importance.mp4
- 19.51 MB
15 Section 11 - Random Forest/Python - Isolate X and Y/Python - Isolate X and Y.mp4
- 15.13 MB
15 Section 11 - Random Forest/Python - Loading Data/Python - Loading Data.mp4
- 18.49 MB
15 Section 11 - Random Forest/Python - Parameter Grid/Python - Parameter Grid.mp4
- 15.7 MB
15 Section 11 - Random Forest/Python - Parameter Tuning/Python - Parameter Tuning.mp4
- 43.75 MB
15 Section 11 - Random Forest/Python - Predictions/Python - Predictions.mp4
- 4.87 MB
15 Section 11 - Random Forest/Python - Random Forest Model/Python - Random Forest Model.mp4
- 11.73 MB
15 Section 11 - Random Forest/Python - Summary Statistics/Python - Summary Statistics.mp4
- 20.91 MB
15 Section 11 - Random Forest/Python - Training and Test Set/Python - Training and Test Set.mp4
- 27.44 MB
15 Section 11 - Random Forest/Python - Transform Object into Numerical Variables/Python - Transform Object into Numerical Variables.mp4
- 9.93 MB
15 Section 11 - Random Forest/Random Forest - Game Plan/Random Forest - Game Plan.mp4
- 2.95 MB
15 Section 11 - Random Forest/Random Forest Quirks/Random Forest Quirks.mp4
- 3.77 MB
16 Section 12 - Facebook Prophet/Additive vs [TutFlix.ORG]. Multiplicative Seasonality/Additive vs. Multiplicative Seasonality.mp4
- 6.07 MB
16 Section 12 - Facebook Prophet/CASE STUDY - Wikipedia (Briefing) [TutFlix.ORG]/CASE STUDY - Wikipedia (Briefing).mp4
- 2.42 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Introduction [TutFlix.ORG]/CHALLENGE - Introduction.mp4
- 20 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 1) [TutFlix.ORG]/CHALLENGE - Solutions (Part 1).mp4
- 56.68 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 2) [TutFlix.ORG]/CHALLENGE - Solutions (Part 2).mp4
- 92.6 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 3) [TutFlix.ORG]/CHALLENGE - Solutions (Part 3).mp4
- 63.73 MB
16 Section 12 - Facebook Prophet/Cross-validation [TutFlix.ORG]/Cross-validation.mp4
- 2.72 MB
16 Section 12 - Facebook Prophet/Dynamic Holidays [TutFlix.ORG]/Dynamic Holidays.mp4
- 4.92 MB
16 Section 12 - Facebook Prophet/Facebook Prophet - Game Plan [TutFlix.ORG]/Facebook Prophet - Game Plan.mp4
- 3.24 MB
16 Section 12 - Facebook Prophet/Facebook Prophet Model [TutFlix.ORG]/Facebook Prophet Model.mp4
- 35.81 MB
16 Section 12 - Facebook Prophet/Facebook Prophet Parameters [TutFlix.ORG]/Facebook Prophet Parameters.mp4
- 5.24 MB
16 Section 12 - Facebook Prophet/Facebook Prophet [TutFlix.ORG]/Facebook Prophet.mp4
- 7.52 MB
16 Section 12 - Facebook Prophet/Forecasting at Uber [TutFlix.ORG]/Forecasting at Uber.mp4
- 9.04 MB
16 Section 12 - Facebook Prophet/Parameters to tune [TutFlix.ORG]/Parameters to tune.mp4
- 3.25 MB
16 Section 12 - Facebook Prophet/Python - Accuracy Assessment [TutFlix.ORG]/Python - Accuracy Assessment.mp4
- 19.53 MB
16 Section 12 - Facebook Prophet/Python - Black Friday [TutFlix.ORG]/Python - Black Friday.mp4
- 14.52 MB
16 Section 12 - Facebook Prophet/Python - Combining Events and Preparing Dataframe [TutFlix.ORG]/Python - Combining Events and Preparing Dataframe.mp4
- 15.02 MB
16 Section 12 - Facebook Prophet/Python - Cross-validation [TutFlix.ORG]/Python - Cross-validation.mp4
- 48.74 MB
16 Section 12 - Facebook Prophet/Python - Directory and Libraries [TutFlix.ORG]/Python - Directory and Libraries.mp4
- 13.47 MB
16 Section 12 - Facebook Prophet/Python - Easter Holidays [TutFlix.ORG]/Python - Easter Holidays.mp4
- 22.88 MB
16 Section 12 - Facebook Prophet/Python - Forecasting [TutFlix.ORG]/Python - Forecasting.mp4
- 21.3 MB
16 Section 12 - Facebook Prophet/Python - Future Dataframe [TutFlix.ORG]/Python - Future Dataframe.mp4
- 32.45 MB
16 Section 12 - Facebook Prophet/Python - Loading Data [TutFlix.ORG]/Python - Loading Data.mp4
- 11.22 MB
16 Section 12 - Facebook Prophet/Python - Parameter Grid [TutFlix.ORG]/Python - Parameter Grid.mp4
- 22.66 MB
16 Section 12 - Facebook Prophet/Python - Parameter Tuning [TutFlix.ORG]/Python - Parameter Tuning.mp4
- 47.1 MB
16 Section 12 - Facebook Prophet/Python - Regressor Coefficients [TutFlix.ORG]/Python - Regressor Coefficients.mp4
- 7.76 MB
16 Section 12 - Facebook Prophet/Python - Renaming Variables [TutFlix.ORG]/Python - Renaming Variables.mp4
- 9.13 MB
16 Section 12 - Facebook Prophet/Python - Training and Test Set [TutFlix.ORG]/Python - Training and Test Set.mp4
- 10.91 MB
16 Section 12 - Facebook Prophet/Python - Transforming Date Variable [TutFlix.ORG]/Python - Transforming Date Variable.mp4
- 17.52 MB
16 Section 12 - Facebook Prophet/Python - Visualization [TutFlix.ORG]/Python - Visualization.mp4
- 30.65 MB
16 Section 12 - Facebook Prophet/Structural Time Series [TutFlix.ORG]/Structural Time Series.mp4
- 6.85 MB
16 Section 12 - Facebook Prophet/Training and Test Set [TutFlix.ORG]/Training and Test Set.mp4
- 4.64 MB
17 Where To Go From Here/Thank You!/Thank You!.mp4
- 88.98 MB
2 PART A_ STATISTICS/What are Statistics and why are they important.pdf
- 169.6 KB
3 Section 2 - Basic Statistics/Arithmetic Mean/Arithmetic Mean.mp4
- 6.94 MB
3 Section 2 - Basic Statistics/Basic Statistics - Game Plan/Basic Statistics - Game Plan.mp4
- 2.66 MB
3 Section 2 - Basic Statistics/CASE STUDY - Moneyball (Briefing)/CASE STUDY - Moneyball (Briefing).mp4
- 1.41 MB
3 Section 2 - Basic Statistics/CASE STUDY - Moneyball/CASE STUDY - Moneyball.mp4
- 7.55 MB
3 Section 2 - Basic Statistics/Correlation/Correlation.mp4
- 15.94 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Correlation/EXERCISE - Python - Correlation.mp4
- 15.01 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Mean/EXERCISE - Python - Mean.mp4
- 11.65 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Median/EXERCISE - Python - Median.mp4
- 12.69 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Mode/EXERCISE - Python - Mode.mp4
- 11.9 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Standard Deviation/EXERCISE - Python - Standard Deviation.mp4
- 4.18 MB
3 Section 2 - Basic Statistics/Median and Mode/Median and Mode.mp4
- 4.66 MB
3 Section 2 - Basic Statistics/Python - Correlation/Python - Correlation.mp4
- 36.21 MB
3 Section 2 - Basic Statistics/Python - Directory, Libraries and Data/Python - Directory, Libraries and Data.mp4
- 39.89 MB
3 Section 2 - Basic Statistics/Python - Mean/Python - Mean.mp4
- 38.89 MB
3 Section 2 - Basic Statistics/Python - Median/Python - Median.mp4
- 17.42 MB
3 Section 2 - Basic Statistics/Python - Mode/Python - Mode.mp4
- 15.57 MB
3 Section 2 - Basic Statistics/Python - Standard Deviation/Python - Standard Deviation.mp4
- 18.59 MB
3 Section 2 - Basic Statistics/Standard Deviation/Standard Deviation.mp4
- 4.25 MB
4 Section 3 - Intermediary Statistics/CASE STUDY - Remote Work Predictions (Briefing)/CASE STUDY - Remote Work Predictions (Briefing).mp4
- 2.29 MB
4 Section 3 - Intermediary Statistics/CASE STUDY - Wine Quality (Briefing)/CASE STUDY - Wine Quality (Briefing).mp4
- 5.37 MB
4 Section 3 - Intermediary Statistics/Chi-square test/Chi-square test.mp4
- 5.94 MB
4 Section 3 - Intermediary Statistics/Confidence Interval/Confidence Interval.mp4
- 36.08 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Chi-square/EXERCISE - Python - Chi-square.mp4
- 17.53 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Confidence Interval/EXERCISE - Python - Confidence Interval.mp4
- 13.96 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Normal Distribution/EXERCISE - Python - Normal Distribution.mp4
- 26.98 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Shapiro-Wilks/EXERCISE - Python - Shapiro-Wilks.mp4
- 10.18 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Standard Error/EXERCISE - Python - Standard Error.mp4
- 10.56 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - T-test/EXERCISE - Python - T-test.mp4
- 22.85 MB
4 Section 3 - Intermediary Statistics/Intermediary Statistics - Game Plan/Intermediary Statistics - Game Plan.mp4
- 1.94 MB
4 Section 3 - Intermediary Statistics/Normal Distribution/Normal Distribution.mp4
- 7.16 MB
4 Section 3 - Intermediary Statistics/P-Value/P-Value.mp4
- 14.48 MB
4 Section 3 - Intermediary Statistics/Powerposing and p-hacking/Powerposing and p-hacking.mp4
- 10.56 MB
4 Section 3 - Intermediary Statistics/Python - Chi-square test/Python - Chi-square test.mp4
- 47.07 MB
4 Section 3 - Intermediary Statistics/Python - Confidence Interval/Python - Confidence Interval.mp4
- 40.47 MB
4 Section 3 - Intermediary Statistics/Python - Normal Distribution Visualization/Python - Normal Distribution Visualization.mp4
- 36.85 MB
4 Section 3 - Intermediary Statistics/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
- 20.29 MB
4 Section 3 - Intermediary Statistics/Python - Shapiro-Wilks Test/Python - Shapiro-Wilks Test.mp4
- 41.83 MB
4 Section 3 - Intermediary Statistics/Python - Standard Error/Python - Standard Error.mp4
- 25.89 MB
4 Section 3 - Intermediary Statistics/Python - T-test/Python - T-test.mp4
- 56.79 MB
4 Section 3 - Intermediary Statistics/Shapiro-Wilks Test/Shapiro-Wilks Test.mp4
- 4.58 MB
4 Section 3 - Intermediary Statistics/Standard Error of the Mean/Standard Error of the Mean.mp4
- 5.87 MB
4 Section 3 - Intermediary Statistics/T-test/T-test.mp4
- 5.3 MB
4 Section 3 - Intermediary Statistics/Z-Score/Z-Score.mp4
- 5.8 MB
5 Section 4 - Linear Regression/CASE STUDY - Diamonds (Briefing)/CASE STUDY - Diamonds (Briefing).mp4
- 2.78 MB
5 Section 4 - Linear Regression/Dummy Variable Trap/Dummy Variable Trap.mp4
- 7.41 MB
5 Section 4 - Linear Regression/EXERCISE - Python - Linear Regression/EXERCISE - Python - Linear Regression.mp4
- 25.29 MB
5 Section 4 - Linear Regression/Linear Regression - Game Plan/Linear Regression - Game Plan.mp4
- 2.98 MB
5 Section 4 - Linear Regression/Linear Regression Output/Linear Regression Output.mp4
- 34.26 MB
5 Section 4 - Linear Regression/Linear Regression/Linear Regression.mp4
- 10.07 MB
5 Section 4 - Linear Regression/Python - Adding Constant/Python - Adding Constant.mp4
- 8.62 MB
5 Section 4 - Linear Regression/Python - Dummy Variable/Python - Dummy Variable.mp4
- 14.62 MB
5 Section 4 - Linear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4
- 10.8 MB
5 Section 4 - Linear Regression/Python - Linear Regression Model and Summary/Python - Linear Regression Model and Summary.mp4
- 16.58 MB
5 Section 4 - Linear Regression/Python - Plotting Regression/Python - Plotting Regression.mp4
- 21.59 MB
5 Section 4 - Linear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
- 22.21 MB
6 Section 5 - Multilinear Regression/Accuracy KPIs (Key Performance Indicators)/Accuracy KPIs (Key Performance Indicators).mp4
- 8.58 MB
6 Section 5 - Multilinear Regression/CASE STUDY - Professors' Salary (Briefing)/CASE STUDY - Professors' Salary (Briefing).mp4
- 1.54 MB
6 Section 5 - Multilinear Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
- 18.6 MB
6 Section 5 - Multilinear Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
- 65.06 MB
6 Section 5 - Multilinear Regression/Multilinear Regression - Game Plan/Multilinear Regression - Game Plan.mp4
- 3.32 MB
6 Section 5 - Multilinear Regression/Outliers/Outliers.mp4
- 4.71 MB
6 Section 5 - Multilinear Regression/Python - Accuracy Assessment/Python - Accuracy Assessment.mp4
- 21.69 MB
6 Section 5 - Multilinear Regression/Python - Adding Constant/Python - Adding Constant.mp4
- 4.62 MB
6 Section 5 - Multilinear Regression/Python - Categorical Variables/Python - Categorical Variables.mp4
- 18.37 MB
6 Section 5 - Multilinear Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4
- 11.96 MB
6 Section 5 - Multilinear Regression/Python - Creating Dummy Variables/Python - Creating Dummy Variables.mp4
- 9.3 MB
6 Section 5 - Multilinear Regression/Python - For Loop/Python - For Loop.mp4
- 17.63 MB
6 Section 5 - Multilinear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4
- 14.26 MB
6 Section 5 - Multilinear Regression/Python - Model Predictions/Python - Model Predictions.mp4
- 5.86 MB
6 Section 5 - Multilinear Regression/Python - Multilinear Regression/Python - Multilinear Regression.mp4
- 21.37 MB
6 Section 5 - Multilinear Regression/Python - Plotting Continuous Variables/Python - Plotting Continuous Variables.mp4
- 22.03 MB
6 Section 5 - Multilinear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
- 26.78 MB
6 Section 5 - Multilinear Regression/Python - Summary Statistics/Python - Summary Statistics.mp4
- 9.55 MB
6 Section 5 - Multilinear Regression/Python - Train and Test Split/Python - Train and Test Split.mp4
- 8.26 MB
6 Section 5 - Multilinear Regression/The Concept of Multilinear Regression/The Concept of Multilinear Regression.mp4
- 2.9 MB
6 Section 5 - Multilinear Regression/Training and Test Set/Training and Test Set.mp4
- 1.71 MB
6 Section 5 - Multilinear Regression/Under and Over Fitting/Under and Over Fitting.mp4
- 2.8 MB
7 Section 6 - Logistic Regression/CASE STUDY - Spam Emails (Briefing)/CASE STUDY - Spam Emails (Briefing).mp4
- 2.62 MB
7 Section 6 - Logistic Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
- 26.05 MB
7 Section 6 - Logistic Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
- 66.38 MB
7 Section 6 - Logistic Regression/Confusion Matrix/Confusion Matrix.mp4
- 15.22 MB
7 Section 6 - Logistic Regression/How to Read Logistic Regression Coefficients/How to Read Logistic Regression Coefficients.mp4
- 6.75 MB
7 Section 6 - Logistic Regression/Logistic Regression - Game Plan/Logistic Regression - Game Plan.mp4
- 2.88 MB
7 Section 6 - Logistic Regression/Logistic Regression/Logistic Regression.mp4
- 8.42 MB
7 Section 6 - Logistic Regression/Python - Classification Report/Python - Classification Report.mp4
- 15.91 MB
7 Section 6 - Logistic Regression/Python - Confusion Matrix/Python - Confusion Matrix.mp4
- 27.38 MB
7 Section 6 - Logistic Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4
- 11.81 MB
7 Section 6 - Logistic Regression/Python - Function to Read Coefficients/Python - Function to Read Coefficients.mp4
- 36.33 MB
7 Section 6 - Logistic Regression/Python - Histogram and Outlier Removal/Python - Histogram and Outlier Removal.mp4
- 44.25 MB
7 Section 6 - Logistic Regression/Python - Logistic Regression/Python - Logistic Regression.mp4
- 15.21 MB
7 Section 6 - Logistic Regression/Python - Manual Accuracy Assessment/Python - Manual Accuracy Assessment.mp4
- 22.74 MB
7 Section 6 - Logistic Regression/Python - Predictions/Python - Predictions.mp4
- 15.52 MB
7 Section 6 - Logistic Regression/Python - Prepare X and Y/Python - Prepare X and Y.mp4
- 8.81 MB
7 Section 6 - Logistic Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4
- 25.2 MB
7 Section 6 - Logistic Regression/Python - Summary Statistics/Python - Summary Statistics.mp4
- 25.54 MB
7 Section 6 - Logistic Regression/Python - Training and Test Set/Python - Training and Test Set.mp4
- 23.66 MB
7 Section 6 - Logistic Regression/Python - Transforming Dependent Variable/Python - Transforming Dependent Variable.mp4
- 18.08 MB
8 PART B_ ECONOMETRICS & CAUSAL INFERENCE/What are Econometrics & Causal Inference and why are they important.pdf
- 190.71 KB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Assumptions/Assumptions.mp4
- 5.76 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CASE STUDY - Bitcoin Pricing (Briefing)/CASE STUDY - Bitcoin Pricing (Briefing).mp4
- 6.16 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4
- 23.75 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4
- 66.55 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Causal Impact Step-by-Step/Causal Impact Step-by-Step.mp4
- 3.4 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Correlation Recap and Stationarity/Correlation Recap and Stationarity.mp4
- 8.14 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Difference-in-Differences Framework/Difference-in-Differences Framework.mp4
- 4.45 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Google Causal Impact - Game Plan/Google Causal Impact - Game Plan.mp4
- 3.03 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Interpretation of Results/Interpretation of Results.mp4
- 11.74 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Bitcoin Price loading/Python - Bitcoin Price loading.mp4
- 19.14 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Correlation/Python - Correlation.mp4
- 17.87 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Defining Dates/Python - Defining Dates.mp4
- 8.59 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact Setup/Python - Google Causal Impact Setup.mp4
- 8.96 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact/Python - Google Causal Impact.mp4
- 38.33 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Impact Results/Python - Impact Results.mp4
- 34.21 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Installing and Importing Libraries/Python - Installing and Importing Libraries.mp4
- 11.88 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Load Control Groups/Python - Load Control Groups.mp4
- 20.57 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing DataFrame/Python - Preparing DataFrame.mp4
- 45.96 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing for Correlation Matrix/Python - Preparing for Correlation Matrix.mp4
- 15.63 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Stationarity/Python - Stationarity.mp4
- 46.41 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Time Series Data/Time Series Data.mp4
- 2.91 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Why Econometrics and Causal Inference/Why Econometrics and Causal Inference.mp4
- 11.16 MB
Torrent Description
Description:
ZeroToMastery - Python for Business Data Analytics & Intelligence [FCO]
About
Become a top Business Data Analyst. We’ll teach you everything you need to go from a complete beginner to getting hired as an analytics professional. You’ll learn to use Python and the latest industry tools and techniques to make data-driven decisions.
Course Overview
We guarantee you this is the most up-to-date and comprehensive course on learning how to use Python and the latest industry tools and techniques for business data analysis. You'll learn analytics by using real-world data and examples, including the data used in the hit movie Moneyball, to become a top Business Data Analyst and get HIRED this year.
What You'll Learn
- The skills to become a professional Business Analyst and get hired
- Step-by-step guidance from an industry professional
- Learn to use Python for statistics, causal inference, econometrics, segmentaiton, matching, and predictive analytics
- Master the latest data and business analysis tools and techniques including Google Causal Impact, Facebook Prophet, Random Forest and much more
- Participate in challenges and exercises that solidify your knowledge for the real world
- Learn what a Business Analyst does, how they provide value, and why they're in demand
- Analyze real datasets related to Moneyball, wine quality, Wikipedia searches, employee remote work satisfaction, and more
- Learn how to make data-driven decisions
- Enhance your proficiency with Python, one of the most popular programming languages
- Use case studies to learn how analytics have changed the world and help individuals and companies succeed
Are there any prerequisites for this course?
- A computer (Windows, Mac, or Linux) with an internet connection
- Basic Python knowledge. Don't know Python? No problem, you'll get access to our Python Bootcamp here as well where we'll teach you Python from scratch
- A willingness and enthusiasm to learn and take action
Who is this course for?
- Developers that want a step-by-step guide to learn and master Business Data Analytics from scratch all the way to being able to get hired at a top company
- Students who want to go beyond all of the "beginner" Python and Data Analytics tutorials out there
- Developers that want to use their skills in a new discipline
- Programmers who want to learn one of the most in-demand skills
- Developers that want to be in the top 10% of Business Data Analysts
- Students who want to gain experience working on large, interesting datasets
- Bootcamp or online tutorial graduates that want to go beyond the basics
- Students who want to learn from an industry professional with real-world experience, not just another online instructor that teaches off of documentation
Instructor(s)
Hi, I'm Diogo Resende!
Diogo has been working for over a decade as a data scientist. He loves harnessing the power of data and analytics to understand what has happened, what will happen next, and how to use that information to your advantage.
Your instructor (Diogo) isn't just an expert with years of real-world professional experience. He has been in your shoes. He makes learning fun. He makes complex topics feel simple. He will motivate you. He will push you. And he will go above and beyond to help you succeed.
General Info:
Author(s): Diogo Resende
Language: English
Updated: 2022
Videos Duration: 15.5 hours
Course Source: https://zerotomastery.io/courses/learn-business-analytics/
ZeroToMastery - Python for Business Data Analytics & Intelligence [FCO]
About
Become a top Business Data Analyst. We’ll teach you everything you need to go from a complete beginner to getting hired as an analytics professional. You’ll learn to use Python and the latest industry tools and techniques to make data-driven decisions.
Course Overview
We guarantee you this is the most up-to-date and comprehensive course on learning how to use Python and the latest industry tools and techniques for business data analysis. You'll learn analytics by using real-world data and examples, including the data used in the hit movie Moneyball, to become a top Business Data Analyst and get HIRED this year.
What You'll Learn
- The skills to become a professional Business Analyst and get hired
- Step-by-step guidance from an industry professional
- Learn to use Python for statistics, causal inference, econometrics, segmentaiton, matching, and predictive analytics
- Master the latest data and business analysis tools and techniques including Google Causal Impact, Facebook Prophet, Random Forest and much more
- Participate in challenges and exercises that solidify your knowledge for the real world
- Learn what a Business Analyst does, how they provide value, and why they're in demand
- Analyze real datasets related to Moneyball, wine quality, Wikipedia searches, employee remote work satisfaction, and more
- Learn how to make data-driven decisions
- Enhance your proficiency with Python, one of the most popular programming languages
- Use case studies to learn how analytics have changed the world and help individuals and companies succeed
Are there any prerequisites for this course?
- A computer (Windows, Mac, or Linux) with an internet connection
- Basic Python knowledge. Don't know Python? No problem, you'll get access to our Python Bootcamp here as well where we'll teach you Python from scratch
- A willingness and enthusiasm to learn and take action
Who is this course for?
- Developers that want a step-by-step guide to learn and master Business Data Analytics from scratch all the way to being able to get hired at a top company
- Students who want to go beyond all of the "beginner" Python and Data Analytics tutorials out there
- Developers that want to use their skills in a new discipline
- Programmers who want to learn one of the most in-demand skills
- Developers that want to be in the top 10% of Business Data Analysts
- Students who want to gain experience working on large, interesting datasets
- Bootcamp or online tutorial graduates that want to go beyond the basics
- Students who want to learn from an industry professional with real-world experience, not just another online instructor that teaches off of documentation
Instructor(s)
Hi, I'm Diogo Resende!
Diogo has been working for over a decade as a data scientist. He loves harnessing the power of data and analytics to understand what has happened, what will happen next, and how to use that information to your advantage.
Your instructor (Diogo) isn't just an expert with years of real-world professional experience. He has been in your shoes. He makes learning fun. He makes complex topics feel simple. He will motivate you. He will push you. And he will go above and beyond to help you succeed.
General Info:
Author(s): Diogo Resende
Language: English
Updated: 2022
Videos Duration: 15.5 hours
Course Source: https://zerotomastery.io/courses/learn-business-analytics/