Basic Statistics and Mathematics for Data Science

By Manvirender Uncategorized
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

This course provides a strong foundation in fundamental statistics and business mathematics, essential for data science. It begins with basic concepts and gradually explores key topics such as probability, linear algebra, and calculus. By the end of the course, you will have a solid mathematical framework to support data science applications.

Course Content

Descriptive Statistics
Overview of data types, central tendency and dispersion.

  • Data Types
  • Central Tendency
  • Dispersion Measures
  • Data Visualization

Probability Theory
Fundamentals of probability, distributions and Bayes’ theorem.

Inferential Statistics
Sampling methods, estimation and hypothesis testing.

Linear Algebra
Understanding vectors, matrices and PCA.

Calculus
Differentiation and integration applications.

Practical Applications
Real-world data analysis projects.

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?