Coursera

/en/applied-data-science-with-python-specialization

Training 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 basic a 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.

COURSE 1

Introduction to Data Science in Python

Current session: Jun 4

Subtitles: English, Korean, Vietnamese, Chinese (Traditional)

About the Course

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library...

You can choose to take this course only. Learn more.

COURSE 2

Applied Plotting, Charting & Data Representation in Python

Upcoming session: Jun 25

Subtitles: English, Korean

About the Course

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good... 

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COURSE 3

Applied Machine Learning in Python

Current session: Jun 4

Subtitles: English, Korean

About the Course

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than des... 

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COURSE 4

Applied Text Mining in Python

Current session: Jun 4

Subtitles: English

About the Course

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk frame... 

You can choose to take this course only. Learn more.

COURSE 5

Applied Social Network Analysis in Python

Upcoming session: Jun 18

Subtitles: English, Korean

About the Course

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks...

You can choose to take this course only. Learn more.

 

Additional information

7-day Free Trial

• Unlimited access to all courses in the Specialization

  Watch lectures, try assignments, participate in discussion forums, and more.

• Cancel anytime.

  No penalties - simply cancel before the trial ends if it's not right for you.

• $49 USD per month to continue learning after trial ends.

  Go as fast as you can - the faster you go, the more you save.

• Certificate when you complete.

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Speakers:

Christopher Brooks

Kevyn Collins-Thompson

Associate Professor

Daniel Romero

Assistant Professor

V. G. Vinod Vydiswaran

Assistant Professor