This module discuss the basics of Python programming language and explores how to set up Python environment to work with data. Demonstrate different parts of Python code such as keywords, variables, data types, statements, functions, loops, and libraries, and get familiarized with programming in python. This module offers a guide to the parts of the Python programming language and its data-oriented library ecosystem and tools. The module focuses specifically on Python programming, libraries, and tools needed for data analysis. Essential Python libraries covered in this module are NumPy, pandas & matplotlib.
L01. Learning python structure and how to write programs in it.
L02.Basic concepts of Python, its syntax, functions, and conditional statements.
L03. Operate Pandas to sort through and rearrange data, run analyses, and build data frames
L04.Understand packages to enable them to write scripts for data manipulation and analysis.
Basic Python Programming
- Variable and data types
- Conditional statements
Essential Python libraries for data