This course is all about learning to use python and jupyter notebooks by exploring fun, real-world data projects.

Get interview-ready with a focused preparation on data manipulation using Pandas, specifically for data analytics roles.

This course is about data engineering using GCP, Python, Kafka, PySpark, and Airflow, covering the entire data lifecycle from ingestion to transformation.

A beginner-friendly course designed to introduce non-programmers to data science concepts and tools.

Learn how to design, develop, and deploy scalable data science models in a production environment.

Prepare for data science interviews by mastering key concepts like machine learning, data analysis, and statistics.

Work on real-world data science projects using Python to enhance your portfolio and skills.

Master the art of data storytelling by creating compelling visualizations using Python libraries.

This Python algorithms and data structures course provides a platform where professionals can implement and learn data structure concepts in Python.

Get a firm grasp on the inner workings of the most common data structures. Tackle common interview coding problems and analyze your solutions.

This course introduces data structures and algorithms, focusing on practical implementation in Python.

An introductory course to familiarize the rich library of Seaborn to visualize variety of data types.