Python for Data Analysis
5.0
(2)
26 learners
What you'll learn
This course includes
- 8.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 30 lessons • 8.5 hours of video
Python for Data Analysis
30 lessons
• 8.5 hours
Python for Data Analysis
30 lessons
• 8.5 hours
- Python for Data Analysis: Getting Started 09:52
- Python for Data Analysis: Basic Math Operations 10:32
- Python for Data Analysis: Basic Data Types 13:00
- Python for Data Analysis: Variables 08:39
- Python for Data Analysis: Lists 21:36
- Python for Data Analysis: Tuples and Strings 14:09
- Python for Data Analysis: Dictionaries and Sets 14:04
- Python for Data Analysis: Numpy Arrays 18:36
- Python for Data Analysis: Pandas Data Frames 22:59
- Python for Data Analysis: Reading and Writing Data 13:47
- Python for Data Analysis: Control Flow (if, else, for, while) 20:30
- Python for Data Analysis: Functions 17:26
- Python for Data Analysis: List Comprehensions 17:10
- Python for Data Analysis: Exploring and Cleaning Data 28:22
- Python for Data Analysis: Working With Text Data 25:17
- Python for Data Analysis: Preparing Numeric Data 23:44
- Python for Data Analysis: Dealing With Dates 11:05
- Python for Data Analysis: Joining Data 10:26
- Python for Data Analysis: Frequency Tables 13:17
- Python for Data Analysis: Plotting With Pandas 13:37
- Python for Data Analysis: Descriptive Statistics 16:30
- Python for Data Analysis: Probability Distributions 32:47
- Python for Data Analysis: Confidence Intervals 26:24
- Python for Data Analysis: Hypothesis Testing and T-Tests 20:07
- Python for Data Analysis: Chi-Squared Tests 17:32
- Python for Data Analysis: ANOVA 15:40
- Python for Data Analysis: Linear Regression 28:28
- Python for Data Analysis: Logistic Regression 19:06
- Python for Data Analysis: Decision Trees 13:06
- Python for Data Analysis: Random Forests 17:20
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