Foundations of Data Science

1. Introduction to Data Science

   - Overview of the data science lifecycle.

   - Role of data scientists in various industries.

2. Mathematics for Data Science

   - Linear algebra, calculus, and probability theory.

   - Mathematical foundations for data analysis.

3. Statistics for Data Science

   - Descriptive and inferential statistics.

   - Probability distributions and hypothesis testing.

4. Programming Fundamentals

   - Introduction to a programming language (e.g., Python or R).

   - Basic programming constructs and data structures.

5. Database Management

   - Relational databases and SQL.

   - Data storage and retrieval.