A Pandas crash course with Industry focused curriculum | Hands on coding Assignment

Get A Solid Python Background For Your Career: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML,Web Scraping

Master data analysis and visualization techniques using popular Python libraries like pandas, matplotlib, and seaborn.

Controlling the flow of a code evaluation is one of the essential concepts that you should be familiar with when you utilize any programming language. This course will teach you how to control the program's flow and reuse the repetitive code.

Python is the most widely-used web programming language in the world. This course will teach you the basics of Python concepts that apply to Data Science. This includes concepts like IDE’s, data structures, expressions, operators.

Covers all Essential Python topics and Libraries for Data Science or Machine Learning Beginner.

This course demonstrates how you can easily create desktop applications using the simplicity of Python and the power of Qt.

Learn fundamental concepts of computer programming and start building coding skills with the Python programming language.

Expand your computer programming skills and get ready to earn a certification.

Twice Learning Python Programming

Dive into Python for Data Science. Learn how to analyze and manipulate data, visualize insights, and build models using Python libraries like pandas, numpy, and matplotlib, providing you with the tools to solve real-world data problems in various domains.

Master Python for Data Science, AI, and Development. Explore key Python libraries and techniques for data analysis, machine learning, and AI development, enabling you to work on real-world projects like predictive modeling, automation, and more.