Applied Data Science with Python Specialization
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Applied Data Science with Python Specialization
[TutsNode.net] - python-social-network-analysis/04_network-evolution/01_module-4-applications/03_small-world-networks.mp4
TutsNode.net.txt
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__4.1_Semantic_Text_Similarity.pdf
[TutsNode.net] - python-social-network-analysis/01_why-study-networks-and-basics-on-networkx/01_module-1-why-study-networks-and-basics-on-networkx/04_network-definition-and-vocabulary.en.txt
.pad/0
[TutsNode.net] - python-social-network-analysis/04_network-evolution/01_module-4-applications/04_link-prediction.mp4
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/12_leakage-in-data-mining-formulation-detection-and-avoidance-optional_cs670_Tran_PreferredPaper_LeakingInDataMining.pdf
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/02_fundamentals-of-data-manipulation/02_manipulating-text-with-regular-expression.en.srt
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/10_kernelized-support-vector-machines.en.srt
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/04_notice-for-auditing-learners-assignment-submission_instructions.html
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/05_help-us-learn-more-about-you_instructions.html
[TutsNode.net] - python-machine-learning/05_Resources/02_jupyter-notebook-faq/01__resources.html
[TutsNode.net] - python-social-network-analysis/04_network-evolution/01_module-4-applications/02_power-laws-and-rich-get-richer-phenomena-optional_networks-book-ch18.pdf
[TutsNode.net] - python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/07_demonstration-case-study-sentiment-analysis.en.txt
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/07_week-1-textbook-reading-assignment-optional_instructions.html
[TutsNode.net] - python-social-network-analysis/05_Resources/01_jupyter-notebook-faq/01__resources.html
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/08_50-years-of-data-science-david-donoho-optional_instructions.html
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__2.3_Advanced_NLP_Tasks_with_NLTK.pdf
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/02_random-forests.en.txt
.pad/1
[TutsNode.net] - python-social-network-analysis/04_network-evolution/01_module-4-applications/01_preferential-attachment-model.mp4
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__1.2_Handling_Text_in_Python.pdf
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/01_principles-of-information-visualization/11_graphical-heuristics-lie-factor-and-spark-lines-edward-tufte.en.txt
.pad/2
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/02_fundamentals-of-data-manipulation/01_numerical-python-library-numpy.mp4
[TutsNode.net] - python-text-mining/05_Resources/01_jupyter-notebook-faq/01__resources.html
[TutsNode.net] - python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/05_support-vector-machines.en.srt
.pad/3
[TutsNode.net] - python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/05_hubs-and-authorities.mp4
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/13_python-dates-and-times.en.srt
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/13_python-dates-and-times.en.txt
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/06_additional-resources-readings_wordnet.html
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/09_python-functions.en.srt
.pad/4
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/02_fundamentals-of-data-manipulation/02_manipulating-text-with-regular-expression.mp4
[TutsNode.net] - python-data-analysis/05_Resources/01_jupyter-notebook-faq/01__resources.html
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/15_advanced-python-lambda-and-list-comprehensions.en.txt
[TutsNode.net] - python-plotting/02_module-2-basic-charting/01_module-2-basic-charting/03_matplotlib_matplotlib.html
.pad/5
[TutsNode.net] - python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/01_model-evaluation-selection.mp4
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__4.3_Generative_Models_and_LDA.pdf
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__2.1_Basic_Natural_Language_Processing.pdf
[TutsNode.net] - python-plotting/02_module-2-basic-charting/01_module-2-basic-charting/09_dejunkifying-a-plot.en.txt
.pad/6
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/04_key-concepts-in-machine-learning.mp4
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/14_rules-of-machine-learning-best-practices-for-ml-engineering-optional_rules_of_ml.pdf
[TutsNode.net] - python-plotting/02_module-2-basic-charting/01_module-2-basic-charting/09_dejunkifying-a-plot.en.srt
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/03_week-1-assignment/02_assignment-1_instructions.html
[TutsNode.net] - python-data-analysis/02_basic-data-processing-with-pandas/01_introduction-to-pandas-and-series-data/01_week-2-reading-assignments-optional_instructions.html
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__1.4_Internationalization_and_Issues_with_Non-ASCII_Characters.pdf
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__3.1_Text_Classification.pdf
[TutsNode.net] - python-machine-learning/05_Resources/01_additional-resources/01__documentation.html
.pad/7
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/03_generative-models-and-lda.mp4
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/02_fundamentals-of-data-manipulation/01_numerical-python-library-numpy.en.srt
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/01_beyond-data-manipulation/01_basic-statistical-testing.en.srt
.pad/8
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/05_information-extraction.mp4
[TutsNode.net] - python-plotting/05_Resources/03_course-slides/01__Week2_Basic_Charting.pptx
[TutsNode.net] - python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.en.txt
.pad/9
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/01_principles-of-information-visualization/12_the-truthful-art-alberto-cairo.mp4
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/06_additional-resources-readings_blei03a.pdf
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/03_gradient-boosted-decision-trees.en.txt
.pad/10
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/04_neural-networks.mp4
[TutsNode.net] - python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/07_practical-guide-to-controlled-experiments-on-the-web-optional_2007GuideControlledExperiments.pdf
[TutsNode.net] - python-plotting/02_module-2-basic-charting/01_module-2-basic-charting/06_scatterplots.en.txt
.pad/11
[TutsNode.net] - python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/05_support-vector-machines.mp4
[TutsNode.net] - python-social-network-analysis/04_network-evolution/01_module-4-applications/05_module-4-quiz_exam.html
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__3.3_Naive_Bayes_Classifier.pdf
[TutsNode.net] - python-data-analysis/05_Resources/05_acknowledgements/01__resources.html
.pad/12
[TutsNode.net] - python-social-network-analysis/02_network-connectivity/01_module-2-network-connectivity/02_distance-measures.mp4
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/01_principles-of-information-visualization/02_syllabus_Cairo2015_Chapter_GraphicsLiesMisleadingVisuals.pdf
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/01_principles-of-information-visualization/07_graphical-heuristics-data-ink-ratio-edward-tufte.en.txt
[TutsNode.net] - python-data-analysis/02_basic-data-processing-with-pandas/03_week-2-assignment/02_assignment-2_instructions.html
[TutsNode.net] - python-data-analysis/03_more-data-processing-with-pandas/01_more-data-processing-with-pandas/01_week-3-reading-assignments-optional_instructions.html
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__3.5_Support_Vector_Machines.pdf
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/08_50-years-of-data-science-david-donoho-optional_50YearsDataScience.pdf
[TutsNode.net] - python-plotting/03_module-3-charting-fundamentals/01_module-3-charting-fundamentals/07_interactivity.en.txt
.pad/13
[TutsNode.net] - python-social-network-analysis/01_why-study-networks-and-basics-on-networkx/01_module-1-why-study-networks-and-basics-on-networkx/06_bipartite-graphs.mp4
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/15_module-2-quiz_exam.html
[TutsNode.net] - python-plotting/03_module-3-charting-fundamentals/01_module-3-charting-fundamentals/03_selecting-the-number-of-bins-in-a-histogram-a-decision-theoretic-approach_hist.pdf
[TutsNode.net] - python-text-mining/02_module-2-basic-natural-language-processing/01_module-2-basic-natural-language-processing/02_basic-nlp-tasks-with-nltk.en.srt
.pad/14
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4
[TutsNode.net] - python-plotting/05_Resources/04_acknowledgements-credits/01__matplotlib.html
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.en.srt
.pad/15
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/01_principles-of-information-visualization/05_tools-for-thinking-about-design-alberto-cairo.mp4
[TutsNode.net] - python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/07_module-3-quiz_exam.html
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/12_decision-trees.en.srt
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/05_neural-networks-made-easy-optional_instructions.html
.pad/16
[TutsNode.net] - python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/04_scaled-page-rank.mp4
[TutsNode.net] - python-data-analysis/03_more-data-processing-with-pandas/02_week-3-assignment/02_assignment-3_instructions.html
[TutsNode.net] - python-data-analysis/02_basic-data-processing-with-pandas/03_week-2-assignment/01_quiz-2_exam.html
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/02_week-4-assignment/04_keep-learning-with-michigan-online_instructions.html
[TutsNode.net] - python-data-analysis/02_basic-data-processing-with-pandas/02_dataframe/03_querying-a-dataframe.en.srt
.pad/17
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/10_kernelized-support-vector-machines.mp4
[TutsNode.net] - python-plotting/05_Resources/03_course-slides/01__Week3_Slides_Final.pdf
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/01_beyond-data-manipulation/03_science-isn-t-broken-p-hacking_instructions.html
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/01_beyond-data-manipulation/04_goodharts-law-optional_instructions.html
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/01_beyond-data-manipulation/05_the-5-graph-algorithms-that-you-should-know_instructions.html
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/02_week-4-assignment/01_assignment-4_instructions.html
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/02_assignment-1/01_graphics-lies-misleading-visuals_BookChapterLIES.pdf
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/02_week-4-assignment/03_post-course-survey_instructions.html
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_introduction.en.txt
.pad/18
[TutsNode.net] - python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/03_naive-bayes-classifiers.mp4
[TutsNode.net] - python-data-analysis/05_Resources/02_code-sharing-policy/01__resources.html
[TutsNode.net] - python-plotting/02_module-2-basic-charting/02_assignment-2/01_plotting-weather-patterns_assignment2_rubric.pdf
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/09_multi-class-classification.en.srt
[TutsNode.net] - python-data-analysis/05_Resources/04_additional-python-resources/01__resources.html
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__4.4_Information_Extraction.pdf
[TutsNode.net] - python-plotting/05_Resources/01_jupyter-notebook-faq/01__resources.html
[TutsNode.net] - python-social-network-analysis/01_why-study-networks-and-basics-on-networkx/01_module-1-why-study-networks-and-basics-on-networkx/05_node-and-edge-attributes.en.srt
.pad/19
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_help-us-learn-more-about-you_instructions.html
[TutsNode.net] - python-plotting/05_Resources/02_additional-python-resources/01__classes.html
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/02_fundamentals-of-data-manipulation/02_manipulating-text-with-regular-expression.en.txt
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/02_fundamentals-of-data-manipulation/03_regular-expression-operations-documentation_instructions.html
[TutsNode.net] - python-social-network-analysis/01_why-study-networks-and-basics-on-networkx/01_module-1-why-study-networks-and-basics-on-networkx/09_module-1-quiz_exam.html
[TutsNode.net] - python-data-analysis/04_answering-questions-with-messy-data/02_week-4-assignment/02_final-quiz_exam.html
[TutsNode.net] - python-machine-learning/04_module-4-supervised-machine-learning-part-2/04_conclusion/03_keep-learning-with-michigan-online_instructions.html
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/06_notice-for-auditing-learners-assignment-submission_instructions.html
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/01_semantic-text-similarity.en.txt
.pad/20
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/12_decision-trees.mp4
[TutsNode.net] - python-machine-learning/05_Resources/01_additional-resources/01__Scikit_Learn_Cheat_Sheet_Python.pdf
[TutsNode.net] - python-text-mining/01_module-1-working-with-text-in-python/01_module-1-working-with-text-in-python/04_handling-text-in-python.en.srt
[TutsNode.net] - python-social-network-analysis/05_Resources/02_additional-resources/01__documentation.html
.pad/21
[TutsNode.net] - python-data-analysis/01_fundamentals-of-data-manipulation-with-python/01_introduction-to-the-course/09_python-functions.mp4
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__1.3_Regular_Expressions.pdf
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/10_zachary-lipton-the-foundations-of-algorithmic-bias-optional_instructions.html
[TutsNode.net] - python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/07_logistic-regression.en.srt
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_assignment-1/01_assignment-1-submission_instructions.html
[TutsNode.net] - python-plotting/05_Resources/03_course-slides/01__Week2_Slides_Final.pdf
[TutsNode.net] - python-data-analysis/03_more-data-processing-with-pandas/02_week-3-assignment/01_quiz-3_exam.html
[TutsNode.net] - python-social-network-analysis/04_network-evolution/03_post-course-survey/02_keep-learning-with-michigan-online_instructions.html
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/03_post-course-survey/02_keep-learning-with-michigan-online_instructions.html
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/02_assignment-1/02_graphics-lies-misleading-visuals_peer_assignment_instructions.html
.pad/22
[TutsNode.net] - python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/02_betweenness-centrality.mp4
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__4.2_Topic_Modeling.pdf
[TutsNode.net] - python-plotting/05_Resources/03_course-slides/01__Week3Slides.pptx
[TutsNode.net] - python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/03_basic-page-rank.en.srt
.pad/23
[TutsNode.net] - python-text-mining/02_module-2-basic-natural-language-processing/01_module-2-basic-natural-language-processing/02_basic-nlp-tasks-with-nltk.mp4
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/02_assignment-1/01_graphics-lies-misleading-visuals_Cairo2015_Chapter_GraphicsLiesMisleadingVisuals.pdf
[TutsNode.net] - python-social-network-analysis/05_Resources/02_additional-resources/01__Scikit_Learn_Cheat_Sheet_Python.pdf
[TutsNode.net] - python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/05_information-extraction.en.srt
.pad/24
[TutsNode.net] - python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/01_degree-and-closeness-centrality.mp4
[TutsNode.net] - python-plotting/01_module-1-principles-of-information-visualization/02_assignment-1/02_graphics-lies-misleading-visuals_Cairo2015_Chapter_GraphicsLiesMisleadingVisuals.pdf
[TutsNode.net] - python-text-mining/05_Resources/02_additional-resources/01__Scikit_Learn_Cheat_Sheet_Python.pdf
[TutsNode.net] - python-data-analysis/03_more-data-processing-with-pandas/01_more-data-processing-with-pandas/04_group-by.en.srt
[TutsNode.net] - python-text-mining/05_Resources/02_additional-resources/01__intro.html
[TutsNode.net] - python-text-mining/05_Resources/02_additional-resources/01__documentation.html
.pad/25
[TutsNode.net] - python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/09_k-nearest-neighbors-classification.mp4
[TutsNode.net] - python-plotting/05_Resources/04_acknowledgements-credits/01__Cairo2015_Chapter_GraphicsLiesMisleadingVisuals.pdf
[TutsNode.net] - python-text-mining/05_Resources/04_lecture-slides/01__2.2_Basic_NLP_Tasks_with_NLTK.pdf
[TutsNode.net] - python-machine-learning/05_Resources/01_additional-resources/01__classes.html
[TutsNode.net] - python-text-mining/02_module-2-basic-natural-language-processing/01_module-2-basic-natural-language-processing/03_advanced-nlp-tasks-with-nltk.en.srt
.pad/26
[TutsNode.net] - python-social-network-analysis/02_network-connectivity/01_module-2-network-connectivity/04_network-robustness.mp4
[TutsNode.net] - python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/01_model-evaluation-selection.en.srt
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Torrent Description
Description:
Description
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Description
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.