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

Learn to analyze and visualize data using Python, focusing on libraries like Pandas and Matplotlib for effective data storytelling.

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

Learn data analysis and visualization techniques using Python, focusing on libraries such as Pandas, Matplotlib, and Seaborn for effective data representation.

Data structures store a collection of related data making it easier to solve complex problems. This course will teach you how to work with the four built-in data structures in Python: lists, tuples, sets, and dictionaries.

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.

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

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.