Python for Data Analytics

At a Glance

The Python for Data Analytics course is designed to equip participants with the essential skills and tools needed to perform data analysis and manipulation using Python. Participants will learn how to use popular libraries such as Pandas, NumPy, and Matplotlib to explore, clean, visualize, and analyze datasets effectively.

Objectives

By the end of the course, participants will be equipped to:

• Understand the role of Python in data analytics and its advantages over other tools
• Learn how to use the Pandas library for data manipulation and analysis
• Perform exploratory data analysis (EDA) to gain insights into datasets
• Utilize NumPy for numerical computing and mathematical operations
• Visualize data using Matplotlib and other plotting libraries
• Apply data cleaning and preprocessing techniques to handle missing values and outliers
• Work with real-world datasets to solve practical data analysis problems.

Prerequisite

Basic knowledge of Python programming is required. Participants should be familiar with Python syntax, data types, and control flow concepts. Prior experience with data analysis concepts is helpful but not required.