Course Description

Master Python Programming, Data Science, and Machine Learning with our industry-focused 2026 curriculum. Learn Python from scratch, analyze data using NumPy & Pandas, create visualizations with Matplotlib & Seaborn, build ML models with Scikit-learn, and explore Deep Learning using TensorFlow & Keras. Gain hands-on experience through real-world projects, practical assignments, and expert guidance to become job-ready for careers in Python Development, Data Analytics, Machine Learning, and AI.

What you'll learn in this course?

Master Python, Data Science, and Machine Learning through an industry-focused curriculum. Learn data analysis with NumPy & Pandas, create visualizations using Matplotlib & Seaborn, build ML models with Scikit-learn, develop deep learning applications using TensorFlow & Keras, and gain hands-on experience through real-world projects, portfolio development, and deployment techniques.

• NumPy + Pandas

• Matplotlib + Seaborn

• Scikit Learn

• TensorFlow + Keras

• ML & Data Analytics

By completing this course, gain expertise in Python for ML: utilize NumPy, Pandas for data manipulation, Matplotlib, Seaborn for visualization, Scikit-learn for algorithms, and TensorFlow, Keras for deep learning. Develop skills to tackle real-world data challenges effectively.