Basic Concepts in Math and Statistics for Data Science

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About Course

Unlock the key mathematical and statistical concepts that power data science — without getting lost in complex formulas. This high-level course is designed for beginners and professionals seeking practical insights over technical depth.

Core Math Concepts – Grasp essential ideas like ratios, percentages, and basic algebra
Statistics Fundamentals – Understand key concepts such as mean, variance, and correlation
Real-World Focus – Learn how these concepts apply to data analysis, visualization, and decision-making
No Heavy Math Required – Clear explanations with minimal technical jargon

Perfect for aspiring data analysts, business professionals, and anyone looking to build data-driven thinking skills.

💻 Start Learning Today and Build Your Data Science Foundation! 🚀

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Course Content

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

  • Data Types
    04:06
  • Data_Types
  • Central Tendency
    02:25
  • Central_Tendency
  • Dispersion Measures
  • Data Visualization
    03:14
  • 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.

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