Complete Probability & Statistics for Data Science

MASTER PROBABILITY & STATISTICS FOR DATA SCIENCE

This is course designed to take you from beginner to expert in probability and statistics. It is designed to be practical, hands on and suitable for anyone who wants to use statistics in data science, business analytics or any other field to make better informed decisions. Whether you’re a beginner or looking to refresh your knowledge, this course will help you develop the statistical skills essential for data science success.

What You’ll Learn:

Our curriculum is divided into structured sections, each focusing on key areas:

1. Descriptive Statistics: Master the concepts of mean, median, mode, range, IQR, and their role in data analysis.
2. Data Distributions: Understand variance, standard deviation, normal distributions, and z-scores.
3. Outlier Detection: Learn how to detect outliers using IQR and Z score methods.
4. Probability Fundamentals: Introduction to probability, conditional probability, and Bayes’ theorem.
5. Hypothesis Testing: Learn inferential statistics, significance levels, p-values, and error types.

Why This Course Stands Out:

1. Watch step-by-step problem-solving sessions that simplify challenging topics.
2. Apply statistical concepts to real-world data science problems.
3. Includes everything from foundational concepts to advanced topics like hypothesis testing.

Join now and transform the way you approach statistics and probability. Start your journey toward becoming a data science expert today!