Mastering Python’s containers is key to tackling complex data structures efficiently. This course will teach you how to utilize Python's built-in and specialized container types for optimal data management and manipulation.

Learn concurrency concepts and advanced techniques in Python to tackle senior-level engineering interviews.

Dive into advanced concurrency techniques in Python, including threading and multiprocessing, tailored for senior-level interviews.

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

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.

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

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

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.