Available courses

Python is a versatile, high-level programming language renowned for its simplicity and readability. Its clean syntax and dynamic typing make it ideal for rapid development, scripting, and automation. Python's extensive standard library provides modules and packages for various tasks, enabling developers to build a wide range of applications, from web development and scientific computing to data analysis and machine learning. With its strong community support, abundant resources, and cross-platform compatibility, Python remains one of the most popular choices for both beginner and experienced programmers alike.

This course introduces the fundamental role of algorithms in computing, covering hierarchical data structures like trees and heaps, as well as graph theory and its applications. Students will learn to evaluate problems, choosing appropriate data structures and algorithms to design effective solutions. The course also covers NP-Completeness, helping students understand problem complexity and computational limitations.


Machine learning is a branch of artificial intelligence that enables systems to learn from data and improve over time without explicit programming. It involves training models to identify patterns, make predictions, and make decisions based on data. The field includes supervised, unsupervised, and reinforcement learning techniques. Machine learning is widely applied in industries like healthcare, finance, and entertainment. This course will introduce you to key algorithms, tools, and applications, giving you the skills to tackle real-world problems using machine learning.

Foundation of Data science is a field that involves the extraction of insights and knowledge from structured and unstructured data using various techniques from statistics, computer science, and domain expertise. At its core, it combines data analysis, machine learning, and algorithms to identify patterns and make predictions or decisions based on data.