Python for Data Science
4.0
(2)
25 learners
What you'll learn
This course includes
- 9.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 27 lessons • 9.5 hours of video
Python for Data Science
27 lessons
• 9.5 hours
Python for Data Science
27 lessons
• 9.5 hours
- #1 Introduction to Python for Data Science | Python for Data Science 16:01
- #2 Introduction to Python | Python for Data Science 13:27
- #3 Introduction to Spyder | Part 1 | Python for Data Science 10:09
- #4 Introduction to Spyder | Part 2 | Python for Data Science 15:00
- #5 Variables and Datatypes | Python for Data Science 12:25
- #6 Operators | Python for Data Science 21:27
- #13 Reading Data | Python for Data Science 20:27
- #14 Pandas Dataframes | Part I | Python for Data Science 22:27
- #15 Pandas Dataframes | Part II | Python for Data Science 24:14
- #16 Pandas Dataframes | Part III | Python for Data Science 18:17
- #17 Control Structures and Functions | Python for Data Science 28:23
- #18 Exploratory data analysis | Python for Data Science 29:35
- #19 Data Visualization | Part | | Python for Data Science 18:03
- #20 Data Visualization | Part II | Python for Data Science 34:51
- #21 Dealing with missing data | Python for Data Science 32:20
- #23 Case Study on Classification | Part I | Python for Data Science 34:48
- #24 Case Study on Classification | Part II | Python for Data Science 26:37
- #25 Introduction to Regression Case Study | Python for Data Science 17:56
- #26 Case Study on Regression | Part I | Python for Data Science 22:50
- #27 Case Study on Regression | Part II | Python for Data Science 25:10
- #28 Case Study on Regression | Part III | Python for Data Science 29:42
- #7 Jupyter setup | Python for Data Science 07:08
- #8 Sequence data | Part 1 | Python for Data Science 12:53
- #9 Sequence data | Part 2 | Python for Data Science 14:03
- #10 Sequence data | Part 3 | Python for Data Science 33:43
- #11 Sequence data | Part 4 | Python for Data Science 35:31
- #12 Numpy | Python for Data Science 20:03
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