DATA
SCIENCE

Master Data Science with hands-on projects, real-world case studies, and expert mentorship. Build a strong foundation in Python, statistics, data visualization, machine learning, deep learning, and AI applications.

4.7 average rating126 practice exercises87.6 hours of content

Starts at ₹29,999 ₹24,999

1.5L learners already enrolled
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What you’ll learn on this Data Science journey

1

Programming & Foundations

Build a strong foundation with Python, data structures, and libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization.

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2

Statistics & Mathematics

Master descriptive and inferential statistics, probability, linear algebra, and calculus — the mathematical backbone of data science.

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3

Data Wrangling & Preprocessing

Handle missing data, perform feature engineering, outlier detection, and scaling using Pandas, NumPy, and SQL.

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4

Machine Learning & AI

Learn supervised and unsupervised algorithms — regression, classification, clustering, PCA, SVM, and more using scikit-learn, XGBoost, and CatBoost.

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5

Deep Learning & Neural Networks

Understand CNNs, RNNs, and Transformers using TensorFlow, Keras, and PyTorch to build modern AI systems.

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6

Real-World Projects & Cloud Tools

Work with Git, Spark, Power BI, and MLOps tools like Docker, MLflow, and Airflow to deploy models and manage pipelines.

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Learn the skills that matter most

Python Programming40k+ learners
NumPy & Pandas35k+ learners
Matplotlib & Seaborn30k+ learners
Statistics & Probability25k+ learners
Machine Learning28k+ learners
Deep Learning (TensorFlow, Keras)22k+ learners
SQL for Data Science20k+ learners
Power BI / Tableau18k+ learners
Big Data (Spark / PySpark)15k+ learners
MLOps & Cloud (AWS/GCP/Azure)14k+ learners

🧠 Data Science Course Curriculum

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