Practical Python for Data Professionals
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Torrent File Contents
Practical Python for Data Professionals
[TutsNode.net] - 01 - Introduction/02 - Prerequisites.mp4
TutsNode.net.txt
[TutsNode.net] - 05 - 4. EDA/03 - Distributions Histograms.srt
[TutsNode.net] - 01 - Introduction/01 - Introduction.srt
[TGx]Downloaded from torrentgalaxy.buzz .txt
[TutsNode.net] - 01 - Introduction/02 - Prerequisites.srt
[TutsNode.net] - 05 - 4. EDA/06 - Data visualizations Comparing categories.srt
[TutsNode.net] - 02 - 1. Case Study Introduction/01 - The who, what, where, and why.srt
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[TutsNode.net] - 07 - Conclusion/01 - Wrap-up and next steps.mp4
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/07 - Putting it all together.srt
[TutsNode.net] - 05 - 4. EDA/07 - Data visualization Data tables.srt
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/02 - Get familiar Domain.srt
[TutsNode.net] - 02 - 1. Case Study Introduction/04 - Where.srt
[TutsNode.net] - 05 - 4. EDA/08 - Data visualization Relationships.srt
[TutsNode.net] - 02 - 1. Case Study Introduction/05 - Why.srt
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/02 - Read in data from a CSV file.srt
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/01 - Visual best practices Part 1.srt
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/02 - Visual best practices Part 2.srt
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/01 - Define the problem The three Ds.srt
[TutsNode.net] - 05 - 4. EDA/02 - Summary statistics.srt
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/04 - General cleaning techniques High-level checks.srt
[TutsNode.net] - 02 - 1. Case Study Introduction/02 - Who.srt
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/05 - Storyboarding.srt
[TutsNode.net] - 05 - 4. EDA/09 - Create a ridge plot.srt
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/05 - Get familiar Deliverable.srt
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[TutsNode.net] - 05 - 4. EDA/03 - Distributions Histograms.mp4
[TutsNode.net] - 05 - 4. EDA/05 - Other distribution types.srt
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/06 - What's in a story.srt
[TutsNode.net] - 05 - 4. EDA/01 - Introduction to EDA.srt
[TutsNode.net] - 02 - 1. Case Study Introduction/03 - What.srt
[TutsNode.net] - 05 - 4. EDA/04 - Data transformations Normalization and log.srt
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/04 - Get familiar Data.srt
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/03 - Leverage exploratory and explanatory visualizations.srt
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/03 - General cleaning techniques.srt
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/06 - Data transformations Binning.srt
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/06 - Set the right expectations.srt
[TutsNode.net] - 02 - 1. Case Study Introduction/06 - Case study introduction.srt
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/03 - Domain Applied.srt
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/01 - Getting set up in Codespaces.srt
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/05 - General cleaning techniques Missing values.srt
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/04 - Choose a medium.srt
[TutsNode.net] - 07 - Conclusion/01 - Wrap-up and next steps.srt
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[TutsNode.net] - 05 - 4. EDA/06 - Data visualizations Comparing categories.mp4
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[TutsNode.net] - 01 - Introduction/01 - Introduction.mp4
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[TutsNode.net] - 05 - 4. EDA/08 - Data visualization Relationships.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/01 - Define the problem The three Ds.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/07 - Putting it all together.mp4
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[TutsNode.net] - 05 - 4. EDA/07 - Data visualization Data tables.mp4
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[TutsNode.net] - 05 - 4. EDA/09 - Create a ridge plot.mp4
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[TutsNode.net] - 05 - 4. EDA/02 - Summary statistics.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/02 - Read in data from a CSV file.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/02 - Who.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/04 - General cleaning techniques High-level checks.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/02 - Visual best practices Part 2.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/06 - Data transformations Binning.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/02 - Get familiar Domain.mp4
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[TutsNode.net] - 05 - 4. EDA/05 - Other distribution types.mp4
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[TutsNode.net] - 05 - 4. EDA/04 - Data transformations Normalization and log.mp4
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[TutsNode.net] - 05 - 4. EDA/01 - Introduction to EDA.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/01 - Visual best practices Part 1.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/03 - What.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/05 - General cleaning techniques Missing values.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/06 - Case study introduction.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/06 - What's in a story.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/06 - Set the right expectations.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/05 - Storyboarding.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/01 - The who, what, where, and why.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/01 - Getting set up in Codespaces.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/05 - Get familiar Deliverable.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/03 - Leverage exploratory and explanatory visualizations.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/04 - Get familiar Data.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/04 - Choose a medium.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/03 - Domain Applied.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/04 - Where.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/03 - General cleaning techniques.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/05 - Why.mp4
[TutsNode.net] - 01 - Introduction/02 - Prerequisites.mp4
- 32.72 MB
TutsNode.net.txt
- 63 Bytes
[TutsNode.net] - 05 - 4. EDA/03 - Distributions Histograms.srt
- 12.05 KB
[TutsNode.net] - 01 - Introduction/01 - Introduction.srt
- 1.87 KB
[TGx]Downloaded from torrentgalaxy.buzz .txt
- 585 Bytes
[TutsNode.net] - 01 - Introduction/02 - Prerequisites.srt
- 2.66 KB
[TutsNode.net] - 05 - 4. EDA/06 - Data visualizations Comparing categories.srt
- 8.2 KB
[TutsNode.net] - 02 - 1. Case Study Introduction/01 - The who, what, where, and why.srt
- 441 Bytes
.pad/0
- 160 Bytes
[TutsNode.net] - 07 - Conclusion/01 - Wrap-up and next steps.mp4
- 24.16 MB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/07 - Putting it all together.srt
- 10.18 KB
[TutsNode.net] - 05 - 4. EDA/07 - Data visualization Data tables.srt
- 7.98 KB
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/02 - Get familiar Domain.srt
- 7.73 KB
[TutsNode.net] - 02 - 1. Case Study Introduction/04 - Where.srt
- 2.15 KB
[TutsNode.net] - 05 - 4. EDA/08 - Data visualization Relationships.srt
- 7.2 KB
[TutsNode.net] - 02 - 1. Case Study Introduction/05 - Why.srt
- 1.71 KB
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/02 - Read in data from a CSV file.srt
- 6.97 KB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/01 - Visual best practices Part 1.srt
- 6.45 KB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/02 - Visual best practices Part 2.srt
- 6.22 KB
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/01 - Define the problem The three Ds.srt
- 1.19 KB
[TutsNode.net] - 05 - 4. EDA/02 - Summary statistics.srt
- 6.19 KB
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/04 - General cleaning techniques High-level checks.srt
- 6.1 KB
[TutsNode.net] - 02 - 1. Case Study Introduction/02 - Who.srt
- 5.93 KB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/05 - Storyboarding.srt
- 5.81 KB
[TutsNode.net] - 05 - 4. EDA/09 - Create a ridge plot.srt
- 5.76 KB
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/05 - Get familiar Deliverable.srt
- 5.58 KB
.pad/1
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[TutsNode.net] - 05 - 4. EDA/03 - Distributions Histograms.mp4
- 16.31 MB
[TutsNode.net] - 05 - 4. EDA/05 - Other distribution types.srt
- 5.08 KB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/06 - What's in a story.srt
- 5 KB
[TutsNode.net] - 05 - 4. EDA/01 - Introduction to EDA.srt
- 4.9 KB
[TutsNode.net] - 02 - 1. Case Study Introduction/03 - What.srt
- 4.8 KB
[TutsNode.net] - 05 - 4. EDA/04 - Data transformations Normalization and log.srt
- 4.8 KB
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/04 - Get familiar Data.srt
- 4.76 KB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/03 - Leverage exploratory and explanatory visualizations.srt
- 4.64 KB
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/03 - General cleaning techniques.srt
- 1.85 KB
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/06 - Data transformations Binning.srt
- 4.44 KB
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/06 - Set the right expectations.srt
- 4.31 KB
[TutsNode.net] - 02 - 1. Case Study Introduction/06 - Case study introduction.srt
- 4.24 KB
[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/03 - Domain Applied.srt
- 4.16 KB
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/01 - Getting set up in Codespaces.srt
- 3.5 KB
[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/05 - General cleaning techniques Missing values.srt
- 3.42 KB
[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/04 - Choose a medium.srt
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[TutsNode.net] - 07 - Conclusion/01 - Wrap-up and next steps.srt
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[TutsNode.net] - 05 - 4. EDA/06 - Data visualizations Comparing categories.mp4
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[TutsNode.net] - 01 - Introduction/01 - Introduction.mp4
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[TutsNode.net] - 05 - 4. EDA/08 - Data visualization Relationships.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/01 - Define the problem The three Ds.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/07 - Putting it all together.mp4
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[TutsNode.net] - 05 - 4. EDA/07 - Data visualization Data tables.mp4
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[TutsNode.net] - 05 - 4. EDA/09 - Create a ridge plot.mp4
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[TutsNode.net] - 05 - 4. EDA/02 - Summary statistics.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/02 - Read in data from a CSV file.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/02 - Who.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/04 - General cleaning techniques High-level checks.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/02 - Visual best practices Part 2.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/06 - Data transformations Binning.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/02 - Get familiar Domain.mp4
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[TutsNode.net] - 05 - 4. EDA/05 - Other distribution types.mp4
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[TutsNode.net] - 05 - 4. EDA/04 - Data transformations Normalization and log.mp4
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[TutsNode.net] - 05 - 4. EDA/01 - Introduction to EDA.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/01 - Visual best practices Part 1.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/03 - What.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/05 - General cleaning techniques Missing values.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/06 - Case study introduction.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/06 - What's in a story.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/06 - Set the right expectations.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/05 - Storyboarding.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/01 - The who, what, where, and why.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/01 - Getting set up in Codespaces.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/05 - Get familiar Deliverable.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/03 - Leverage exploratory and explanatory visualizations.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/04 - Get familiar Data.mp4
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[TutsNode.net] - 06 - 5. Data Visualization and Storytelling/04 - Choose a medium.mp4
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[TutsNode.net] - 03 - 2. Breaking Down the Problem Statement/03 - Domain Applied.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/04 - Where.mp4
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[TutsNode.net] - 04 - 3. Data Collection, Cleaning, and Transformation/03 - General cleaning techniques.mp4
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[TutsNode.net] - 02 - 1. Case Study Introduction/05 - Why.mp4
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Torrent Description
Description
As data and data-related jobs have grown over the past decade, so has the demand for data skills. If you’re a data professional, this is great news! However, it’s important to continue to adapt to the changing demands of the market, which include adopting tools like Python to approach big data challenges. In this course, Sarah Nooravi shares a practical, project-based examination of Python, covering the skills needed to help you stand out among others in a competitive market. Sarah walks through an end-to-end Python analysis, typical of what you would encounter on the job– starting from the problem statement and takes you all the way through to insight delivery. Sarah helps you break down the problem, set expectations, and covers best practices around data cleaning, data visualization and storytelling. Lastly, she also shares common pitfalls and critical business and soft skills that will help you stand out.
Last Updated 3/2023