What you'll learn
- Master Python for Data Science.
- Python programming fundamentals.
- Data manipulation and analysis with Pandas.
- Visualization using Matplotlib and Seaborn.
- Data Science Foundations.
- Statistical concepts and hypothesis testing.
- Exploratory Data Analysis (EDA).
- Feature engineering and selection.
- Machine Learning with Python.
- Introduction to machine learning algorithms.
- Model evaluation and hyperparameter tuning.
- Practical implementation of ML models.
- R for Data Science.
- R programming basics.
- Data visualization with ggplot2.
- Statistical modeling using R.
- Capstone Project.
- Apply learned skills to a real-world project.
- Design and implement an end-to-end data science solution.
- Project presentation and feedback.
