Data Science teaches data cleaning, analysis, visualization, and storytelling with Python, Pandas, NumPy, and dashboards to drive data-informed decisions.

Numpy, Pandas, Matplotlib, and EDA concepts.
Students
1
Duration
67.5

Python syntax, OOPs, file handling, and data structures.
Students
2
Duration
67.5

This course provides a comprehensive introduction to machine learning, covering its core principles and most common techniques. Students will gain a solid theoretical and practical foundation for building, evaluating, and deploying machine learning models. The curriculum is structured to accommodate learners with basic programming and mathematical skills, progressing from foundational concepts to advanced topics and practical projects.
Students
3
Duration
67.5

Intro to AI, neural nets, TensorFlow basics.
Students
1
Duration
67.5

Data processing, visualization, reporting, and storytelling.
Students
0
Duration
270

Master the language of data with SQL. This course covers everything from creating and managing databases to writing powerful queries for data retrieval and analysis. You’ll learn how to organize, filter, and manipulate data efficiently — skills essential for developers, analysts, and anyone working with information in today’s data-driven world.
Students
0
Duration
50