Data Science Course
Become a professional Data Scientist by mastering Python, Statistics, Data Cleaning, Machine Learning, Deep Learning, Visualization, and real-world project workflows.
Become a professional Data Scientist by mastering Python, Statistics, Data Cleaning, Machine Learning, Deep Learning, Visualization, and real-world project workflows.
A structured, hands-on program covering statistics, machine learning, data analytics, deep learning, visualization, and real-world end-to-end data science projects.
Hypothesis testing, distributions, statistical models, confidence intervals & more.
Data cleaning, feature engineering, handling missing values, normalization & EDA.
Regression, classification, clustering, model evaluation, pipelines & optimization.
Introduction to neural networks, activation functions, gradients & simple models.
Complete step-by-step curriculum designed to make you a job-ready Data Scientist.
NumPy, Pandas, Matplotlib, data manipulation & visualization basics.
Probability, distributions, descriptive & inferential statistics, hypothesis testing.
Feature engineering, cleaning, EDA, correlation, transformations & pipelines.
Regression, classification, clustering, feature selection & model tuning.
Neural networks, forward/backprop, simple CNN models & Keras workflow.
Complete real-world DS project with deployment-ready documentation.
Industry-standard tools used by professional Data Scientists.
Python
Pandas
Jupyter
Power BI
Tableau
Python
Pandas
Jupyter
Power BI
Tableau
A practical, project-based Data Science course designed for real-world applications.
Hands-on training with real case studies & weekly assignments.
We start from fundamentals—no prior ML background required.
Build, analyze, visualize & present a full data science solution.
Official certificate + project portfolio for job readiness.
Answers to the most common student questions.