- From www.coursera.org
Introduction to Data Science in Python
- Self-paced
- Free Access
- Fee-based Certificate
- 4 Sequences
- Intermediate Level
- Subtitles in Chinese, Portuguese, Vietnamese, Korean, Hebrew
Course details
Syllabus
- Week 1 - Week 1
In this week you'll get an introduction to the field of data science, review common Python functionality and features which data scientists use, and be introduced to the Coursera Jupyter Notebook for the lectures. All of the course information on grading, prer... - Week 2 - Week 2
In this week of the course you'll learn the fundamentals of one of the most important toolkits Python has for data cleaning and processing -- pandas. You'll learn how to read in data into DataFrame structures, how to query these structures, and the details abo... - Week 3 - Week 3
In this week you'll deepen your understanding of the python pandas library by learning how to merge DataFrames, generate summary tables, group data into logical pieces, and manipulate dates. We'll also refresh your understanding of scales of data, and discuss ... - Week 4 - Week 4
In this week of the course you'll be introduced to a variety of statistical techniques such a distributions, sampling and t-tests. The majority of the week will be dedicated to your course project, where you'll engage in a real-world data cleaning activity and...
Prerequisite
Instructors
Christopher Brooks
Editor
The University of Michigan (UM, UMich or simply Michigan) is a public research university located in Ann Arbor, Michigan, in the United States. Founded in 1817, the university is Michigan's oldest and largest.
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