This course provides a comprehensive introduction to data analysis using Python. It covers essential libraries like NumPy and pandas, and explores data visualization with Plotly. The course culminates in an end-to-end project analyzing the Google Playstore dataset, providing practical experience in applying the learned techniques to real-world data.

Modules and Key Features:

Module 1: Introduction to Data Analysis with Python

- Overview of data analysis and its importance

- Introduction to the concept and significance of data analysis in various fields.

- Understanding the benefits of data-driven decision making.

- Introduction to Python for data analysis course content

Module 2: Introduction to NumPy

- Introduction to NumPy arrays

- Understanding the structure and benefits of NumPy arrays over Python lists.

- Creat ing NumPy arrays from lists and using built-in functions.

- Basic array operations (creation, manipulation)

- Performing fundamental array operations such as reshaping, slicing, and element-wise operations.

- Array indexing and slicing

- Mastering techniques to access and modify specific parts of an array.

- Universal functions (ufuncs)

- Utilizing universal functions for element-wise operations and mathematical computations.

- Array broadcasting

- Understanding the concept of broadcasting and how it enables operations on arrays of different shapes.

- Mathematical functions

- Using built-in mathematical functions to perform calculations on arrays.