Learn how to build analytics pipelines that fetch data automatically, process and analyze it, and deliver insights via interactive dashboards. You’ll explore web scraping with BeautifulSoup, API data retrieval, automation with cron/jobs, NLP basics, and dashboarding using Plotly Dash or Streamlit.

This comprehensive master course covers the full data science lifecycle — from data collection through modeling and deployment. Designed for aspiring data scientists, it blends theory, statistics, machine learning, data visualization, and real-world projects. You'll learn Python-based tools like pandas, scikit-learn, and TensorFlow to develop end-to-end
pipelines.
This is an intensive introduction to using Python specifically for data science tasks. Ideal for beginners and analysts, it covers Python essentials and data libraries like pandas, NumPy, and visualization tools — laying the groundwork for advanced modules.