Applied Data Science with Python

Gain new insights into your data

Learn to apply data science methods and techniques, and acquire analysis skills.

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 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.

Created by:

5 courses

Follow the suggested order or choose your own.

Projects

Designed to help you practice and apply the skills you learn.

Certificates

Highlight your new skills on your resume or LinkedIn.

Courses

Intermediate Specialization.: Some related experience required.

COURSE 1
Introduction to Data Science in Python
Current session: Oct 23
Subtitles
English, Vietnamese, Chinese (Traditional)
About the Course
This course will introduce the learner to the basics of the python programming environment, including how to download and install python, expected fundamental python programming techniques, and how to find help with python programming questi
You can choose to take this course only. Learn more.
COURSE 2
Applied Plotting, Charting & Data Representation in Python
Upcoming session: Nov 13
Subtitles
English
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
You can choose to take this course only. Learn more.
COURSE 3
Applied Machine Learning in Python
Current session: Oct 23
Subtitles
English
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
You can choose to take this course only. Learn more.
COURSE 4
Applied Text Mining in Python
Current session: Oct 23
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: Nov 6
Subtitles
English
About the Course
This course will introduce the learner to network analysis through the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introd
You can choose to take this course only. Learn more.

Creators

Michigan’s academic vigor offers excellence across disciplines and around the globe. The University is recognized as a leader in higher education due to the outstanding quality of its 19 schools and colleges, internationally recognized faculty, and departments with 250 degree programs.
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.