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Self-paced Beginner

Statistics for Data Science

A foundational study of probability and statistical methods designed to analyze data, test hypotheses, and drive evidence-based decision-making in data science.

6 Weeks Verified certificate

What you'll learn

  • Descriptive Statistics & Probability: Summarize distributions using measures of central tendency, variance, and fundamental probability rules (including Bayes' Theorem and common distributions).
  • Inferential Statistics & Estimation: Estimate population parameters using confidence intervals and apply the Central Limit Theorem to sample data.
  • Hypothesis Testing: Formulate research hypotheses and execute rigorous statistical tests (z-tests, t-tests, Chi-Square tests, and ANOVA) to evaluate statistical significance.
  • Regression & Correlation Analysis: Model, measure, and interpret relationships between variables using simple and multiple linear regression.
  • A/B Testing & Experiment Design: Design, execute, and analyze controlled experiments to evaluate product changes and drive data-backed business decisions.

Course content

The full curriculum is being finalised. Contact us for the syllabus.

About this course

Dive into the mathematical and statistical bedrock of data science and machine learning. This course bridges theoretical probability with practical data analysis, teaching you how to summarize datasets, design robust experiments, and draw reliable conclusions from uncertain data. You will explore descriptive statistics, probability distributions, hypothesis testing, ANOVA, regression analysis, and Bayesian methods. Through practical implementation using Python, you will learn to validate data assumptions and interpret statistical outputs accurately.

Tools you'll use

Python 3.x Statsmodels & SciPy Pandas & NumPy Matplotlib & Seaborn (for data visualization) Jupyter Notebook / Google Colab

Learn anywhere

Phone, tablet or laptop. Pick up exactly where you left off.

Hands-on practice

Quizzes, coding exercises and projects marked by instructors.

Verified certificate

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