

Master Python fundamentals in this hands-on course designed for beginners. Learn essential concepts like data types, control structures, functions, modules, and data structures through interactive labs and practical challenges. Perfect for those starting their Python programming journey.
Completed 0 of 10 Labs
In this course, you will learn what Structured Query Language (SQL) and databases are, the basics of database management, how to set up and configure MySQL, and how to get MySQL client to connect to a MySQL Server.
Completed 0 of 17 Labs
In this course, learn PostgreSQL basics from installation to data operations, including database management, table creation, and simple queries.
Completed 0 of 10 Labs
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
Completed 0 of 8 Labs
This comprehensive course covers the fundamental concepts and practical techniques of Pandas, the essential library for data manipulation and analysis in Python. Learn to create, manipulate, and analyze data efficiently using DataFrames and Series.
Completed 0 of 9 Labs
This comprehensive course covers the fundamental concepts and practical techniques of Matplotlib, the essential plotting library in Python. Learn to create various types of charts and visualizations including line plots, bar charts, scatter plots, histograms, pie charts, and subplots.
Completed 0 of 8 Labs
This comprehensive course covers the fundamental concepts and practical techniques of Scikit-learn, the essential machine learning library in Python. Learn to build, train, and evaluate machine learning models using various algorithms and preprocessing techniques.
Completed 0 of 7 Labs
Compare opening opportunities with pandas and Matplotlib, preserve the meaning of missing observations, and deliver reproducible visitor analysis with an evidence-qualified recommendation.
Completed 0 of 3 Labs
Build a transparent game-night recommender with Python and NumPy: filter usable alternatives, compare scaled features and explain every cutoff tie.
Completed 0 of 3 Labs
Estimate workshop attendance seven days ahead with Python: respect information availability, fit preprocessing on earlier events and compare a small regression model with a median baseline.
Completed 0 of 3 Labs











