Description:

This course covers the essential mathematical concepts and techniques needed for a successful career in data science. From calculus and linear algebra to probability and statistics, this course will provide a solid foundation for analyzing and interpreting data.

Key Highlights:

• Calculus for data analysis
• Linear algebra for machine learning
• Probability and statistics for data modeling

What you will learn:

• Understanding Calculus
  Learn how to apply calculus concepts to analyze data trends and patterns.
• Mastering Linear Algebra
  Explore the fundamental principles of linear algebra and their relevance to machine learning algorithms.
• Statistical Modeling Techniques
  Develop statistical models and methods for interpreting and making predictions based on data.