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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan
27,109 ratings
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. 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.
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.
Top reviews
CB
Feb 6, 2023
The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.
YH
Sep 28, 2021
This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
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5951 - 5958 of 5,958 Reviews for Introduction to Data Science in Python
By Abdulrahman A
•Dec 2, 2024
bad course
By Andrew K
•Jan 18, 2022
Too quick
By Atheer B A
•Aug 21, 2024
not good
By Hafiz M
•Aug 22, 2024
wrong
By JULIO E M G
•Sep 21, 2021
hjhjh
By Tarun
•Aug 3, 2020
easy
By Raju C
•Oct 2, 2023
Bad
By Eren K
•Feb 1, 2023
ew