Python programming language for Data Analytics

This course takes you from the ground up in Python programming and guides you through to practical data analysis with pandas. You’ll start by building a solid foundation in Python syntax, variables, data types, arithmetic and logical operators, and conditional statements, before moving on to core data structures like tuples, sets, and dictionaries.

With those fundamentals in place, you’ll transition into pandas, the industry-standard library for data analysis in Python. You’ll learn how to work with Series and DataFrames, read and preview real-world datasets, and master essential techniques for selecting, indexing, and filtering data using iloc, loc, and logical conditions (AND/OR).

The course wraps up with data visualization, where you’ll learn to build bar charts, heatmaps, distribution plots, and line charts to uncover patterns and communicate insights from your data effectively.

By the end of this course, you’ll be equipped with the practical Python and pandas skills needed to clean, explore, filter, and visualize real datasets, a foundational skill set for anyone pursuing data analysis, data science, or general Python programming.

What you’ll learn:

• Core Python programming: syntax, operators, control flow, and data structures
• How to work with pandas Series and DataFrames
• Techniques for reading, previewing, and exploring datasets
• Data selection and filtering using iloc, loc, and logical operators
• Creating visualizations including bar charts, heatmaps, distributions, and line charts