Data Analysis with Python and Pandas
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16 learners
What you'll learn
This course includes
- 3.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 16 lessons • 3.5 hours of video
Data Analysis with Python and Pandas
16 lessons
• 3.5 hours
Data Analysis with Python and Pandas
16 lessons
• 3.5 hours
- Data Analysis with Python and Pandas Tutorial Introduction 10:26
- Pandas Basics - p.2 Data Analysis with Python and Pandas Tutorial 15:33
- IO Basics - p.3 Data Analysis with Python and Pandas Tutorial 17:12
- Building dataset - p.4 Data Analysis with Python and Pandas Tutorial 11:04
- Concatenating and Appending dataframes - p.5 Data Analysis with Python and Pandas Tutorial 07:51
- Joining and Merging Dataframes - p.6 Data Analysis with Python and Pandas Tutorial 13:58
- Pickling - p.7 Data Analysis with Python and Pandas Tutorial 13:59
- Percent Change and Correlation Tables - p.8 Data Analysis with Python and Pandas Tutorial 20:20
- Resampling - p.9 Data Analysis with Python and Pandas Tutorial 11:51
- Handling Missing Data - p.10 Data Analysis with Python and Pandas Tutorial 14:21
- Rolling statistics - p.11 Data Analysis with Python and Pandas Tutorial 14:19
- Applying Comparison Operators to DataFrame - p.12 Data Analysis with Python and Pandas Tutorial 11:55
- Joining 30 year mortgage rate - p.13 Data Analysis with Python and Pandas Tutorial 16:43
- Adding other economic indicators - p.14 Data Analysis with Python and Pandas Tutorial 14:03
- Rolling Apply and Mapping Functions - p.15 Data Analysis with Python and Pandas Tutorial 19:12
- Scikit Learn Incorporation - p.16 Data Analysis with Python and Pandas Tutorial 10:33
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