What I will learn?

• Understand the fundamentals of Python programming and its application in data science.
• Learn to use key Python libraries such as NumPy, pandas, and Matplotlib for data manipulation and visualization.
• Develop skills to clean, process, and analyze large datasets.
• Explore statistical analysis techniques to derive insights from data.
• Understand and implement machine learning algorithms using libraries such as scikit-learn.
• Gain proficiency in building and evaluating predictive models.
• Learn to use Jupyter Notebooks for interactive data analysis.
• Understand best practices for data visualization to communicate findings effectively.
• Explore advanced topics such as natural language processing and deep learning with TensorFlow and Keras.
• Gain hands-on experience through real-world data science projects and case studies.