Python for Data Science
0% Completed
Section 1: Course overview
Section 2: Introduction to Python
Overview of Python for Data Science
Video - 00:08:03 mins
Installation and setting up the environment (Anaconda, Jupyter Notebooks).
Video - 00:19:12 mins
Python basic syntax, variables, and data types.
Video - 00:32:35 mins
Control structures: Loops (for, while), conditionals (if, elif, else).
Video - 00:17:32 mins
Functions and modular programming.
Video - 00:09:15 mins
Section 3: Python Data Structures
Section 4: Python Libraries for Data Science (NumPy)
Section 5: Python Libraries for Data Science (Pandas)
Section 6: Data Preprocessing and Statistical Analysis
Data Preprocessing
Video - 00:26:34 mins
Data Descripting
Video - 00:08:01 mins
Retrieving and Manipulation
Video - 00:05:50 mins
Handling-missing values.
Video - 00:08:02 mins
Introduction to statistics.
Video - 00:10:55 mins
Statistical Analysis
Video - 00:13:59 mins
Group by Function
Video - 00:05:50 mins
Correlation Analysis
Video - 00:12:58 mins
Section 7: Data Visualization