• Mohamed Amneh

Applied Data Science with Python Specialization

Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.

There are 5 Courses in this Specialization

  1. Applied Social Network Analysis in Python

  2. Applied Text Mining in Python

  3. Applied Machine Learning in Python

  4. Applied Plotting, Charting & Data Representation in Python

  5. Introduction to Data Science in Python


  • Conduct an inferential statistical analysis

  • Discern whether a data visualization is good or bad

  • Enhance a data analysis with applied machine learning

  • Analyze the connectivity of a social network


  • Text Mining

  • Python Programming

  • Pandas

  • Matplotlib

About this Specialization

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.

Intermediate Level Some related experience required.

Approximately 5 months to complete Suggested pace of 7 hours/week

English Subtitles: English, Arabic, French, Portuguese (European), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, Spanish, Korean

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