Data Science with Python

Data Science with Python is a 3-day instructor-led course designed to equip learners with the practical skills to clean, analyze, visualize, and model data using Python. Whether you're transitioning into data science or looking to strengthen your analytical capabilities, this course delivers a hands-on foundation for real-world applications.

You’ll begin with a Python crash course to ensure comfort with programming basics, then move into core data science libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. The course covers SciPy for scientific computing and dives deep into data wrangling, exploration, and cleaning techniques, preparing you for more advanced tasks.

Once you’ve mastered data preparation, the course progresses into machine learning, introducing supervised algorithms like linear regression, decision trees, and clustering techniques. You’ll also explore natural language processing (NLP) with real-world projects, and deep learning using TensorFlow to build neural networks for image or text classification.

Key learning areas include:

• File handling, object-oriented programming, and database access (MySQL & NoSQL)

• Data analysis workflows using Pandas, SciPy, and advanced functions

• Visualization with Matplotlib, Seaborn, and Plotly for insight presentation

• Machine learning concepts including classification, regression, clustering

• NLP techniques and project work using Python-based toolkits

• Deep learning using TensorFlow, from theory to hands-on model training

This course is ideal for data analysts, aspiring data scientists, engineers, or professionals from business or technical backgrounds who want to upskill in one of the most in-demand tech fields today.