Live remote learning · Coding, data science, and AI

Choose the right course for your learning path

Start with programming foundations, move into data analysis, or build practical machine learning skills. Each course is designed with hands-on exercises, clear explanations, and guided practice.

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Python Programming foundations

Pandas Data cleaning and analysis

Plots Matplotlib and Seaborn

Machine Learning Simple models with scikit-learn

Course catalog

Data science courses designed for practical use

Fee $200

Level 1

Python

Python Programming

Next batch starts 10 July 2026 Loading...

Variables Loops Functions

Build strong foundations in basics of Python programming such as variables, loops, functions, and modules. Learn to write clean and maintainable code.

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Fee $200

Level 2

Python & Data Science

Analysis and visualization

Next batch starts 20 July 2026 Loading...

NumPy Pandas Matplotlib, Seaborn

Build strong foundations in arrays, DataFrames, data cleaning, exploratory analysis, and clear visual communication.

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Fee $250

Machine Learning

Python Machine Learning

From prototype to reliable models

Next batch starts 30 July 2026 Loading...

scikit-learn Pipelines Validation

Learn model selection, cross-validation, feature pipelines, regularization, and the common mistakes that hurt production ML projects.

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How to choose

Not sure where to start?

Choose Python Programming if you are new to coding. Choose Data Science if you already know basic Python and want to work with tables, cleaning, analysis, and charts.

Choose Machine Learning if you are comfortable with basic Python and want to learn simple predictive models, clustering, and evaluation using small practical datasets.

Learning approach

Practical learning, not just theory

Each course uses short explanations followed by guided exercises. The goal is to help learners understand, practice, and build confidence step by step.

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Clear path Move from coding basics to data analysis and machine learning.

Hands-on practice Work with notebooks, examples, exercises, and small projects.

Guided support Ask questions, fix mistakes, and understand the logic behind the code.

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Find the right course for you

Share your current level and learning goals. We can suggest whether Python Programming, Data Science, or Machine Learning is the best starting point.