This comprehensive Data Science course is your all-in-one guide to becoming a job-ready data professional — even if you're starting from scratch.

You’ll go from beginner to advanced, learning everything from Python programming and data visualization to building real-world machine learning models. Through interactive lessons and hands-on projects, you'll gain the practical skills and confidence to work with data, solve real business problems, and build a career in data science.

Whether you’re aiming to become a Data Scientist, Data Analyst, Machine Learning Engineer, or just want to use data more effectively in your current job — this course will give you the tools to succeed.

Python programming for data analysis

Working with data using NumPy, Pandas, Matplotlib, and Seaborn

Writing SQL queries to extract insights from databases

Statistics & probability for data-driven decision-making

Machine learning with Scikit-learn: regression, classification, clustering

Introduction to Deep Learning, NLP, and Time Series Analysis

Building and presenting real-world data science projects

Preparing for data science job interviews and building a professional portfolio

Python, Jupyter Notebooks, Google Colab

Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn

SQL (PostgreSQL or MySQL)

Real datasets from Kaggle, UCI, and open APIs

By the end of this course, you’ll have built a strong portfolio, mastered the essential data science workflow, and be ready to land your first job or freelance opportunity in the data space.