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.
Free
$64.99
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