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 stars66.25%
- 4 stars24.47%
- 3 stars5.36%
- 2 stars1.91%
- 1 star2%
TOP REVIEWS FROM INTRODUCTION TO DATA SCIENCE IN PYTHON
Very good course assignments and projects. Really learnt good by exploring stackoverflow and other forums to complete the assignments. Please include some detailed lectures in the upcoming modules.
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
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.
An excellent course offered by the university of michigan which provides the basic knowledge required for starting career in data science and the concepts explianing by the proffesors were profound.
About the Applied Data Science with Python Specialization
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