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. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
About this Course
Skills you will gain
- 5 stars66.27%
- 4 stars24.47%
- 3 stars5.35%
- 2 stars1.89%
- 1 star1.99%
TOP REVIEWS FROM INTRODUCTION TO DATA SCIENCE IN PYTHON
Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.
Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.
The speaker is so dull, And the way he speaks doesn't motivate one to learn the things with interested. The speaker of the videos should be the one who speaks passionately about what he is saying..
I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries
About the Applied Data Science with Python Specialization
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