Data Science and Machine Learning
Course Description
This course provides a deep dive into the world of Data Science and Machine Learning. You will learn to analyze data, build predictive models, and create insightful visualizations. The curriculum covers Python, statistical analysis, and popular machine learning libraries like Scikit-learn and TensorFlow.
Upon completion, you will have the expertise to tackle complex data challenges and drive data-informed decisions, opening doors to a career in one of the most in-demand fields.
What you will learn in this course
- Master data analysis and manipulation with Python (Pandas, NumPy).
- Understand statistical concepts and hypothesis testing.
- Build and evaluate machine learning models for classification and regression.
- Create compelling data visualizations with Matplotlib and Seaborn.
- Gain experience with deep learning frameworks like TensorFlow or PyTorch.