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 Started09:52
- Python for Data Analysis: Basic Math Operations10:32
- Python for Data Analysis: Basic Data Types13:00
- Python for Data Analysis: Variables08:39
- Python for Data Analysis: Lists21:36
- Python for Data Analysis: Tuples and Strings14:09
- Python for Data Analysis: Dictionaries and Sets14:04
- Python for Data Analysis: Numpy Arrays18:36
- Python for Data Analysis: Pandas Data Frames22:59
- Python for Data Analysis: Reading and Writing Data13:47
- Python for Data Analysis: Control Flow (if, else, for, while)20:30
- Python for Data Analysis: Functions17:26
- Python for Data Analysis: List Comprehensions17:10
- Python for Data Analysis: Exploring and Cleaning Data28:22
- Python for Data Analysis: Working With Text Data25:17
- Python for Data Analysis: Preparing Numeric Data23:44
- Python for Data Analysis: Dealing With Dates11:05
- Python for Data Analysis: Joining Data10:26
- Python for Data Analysis: Frequency Tables13:17
- Python for Data Analysis: Plotting With Pandas13:37
- Python for Data Analysis: Descriptive Statistics16:30
- Python for Data Analysis: Probability Distributions32:47
- Python for Data Analysis: Confidence Intervals26:24
- Python for Data Analysis: Hypothesis Testing and T-Tests20:07
- Python for Data Analysis: Chi-Squared Tests17:32
- Python for Data Analysis: ANOVA15:40
- Python for Data Analysis: Linear Regression28:28
- Python for Data Analysis: Logistic Regression19:06
- Python for Data Analysis: Decision Trees13:06
- Python for Data Analysis: Random Forests17:20
