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Data Science Statistics for Beginners

person icon Adesola Samuel

4.6

Data Science Statistics for Beginners

Gain the essential statistics knowledge needed for Data Science

updated on icon Updated on Nov, 2025

language icon Language - English

person icon Adesola Samuel

English [CC]

category icon Development ,Data Science,Maths & Statistics

Lectures -37

Resources -2

Quizzes -4

Duration -2 hours

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4.6

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Course Description

This course will help you learn Statistics from the basics to more advanced ideas used in Data Science and Machine Learning. It’s perfect if you’re just starting out and want to clearly understand how and why different statistical methods are used.

You’ll learn what Statistics is, how to show data using graphs, and how to calculate averages, variations, and other important measures. We’ll also look at real examples to make the ideas easy to understand.

By the end of the course, you’ll know how to present data in different ways, find key patterns, and choose the right method to analyze any dataset. This is a great starting point for anyone who wants to begin a career in Data Science or Machine Learning.

Who this course is for:

  • Beginners in Data Science and Machine Learning who want to learn the basic statistics behind common practices.
  • Experts who want to refresh their basic knowledge of statistics for Data Science and Machine Learning.

Goals

  • Students will gain the essential statistics knowledge needed for Data Science.
  • Learn to find and calculate measures of central tendency, like mean, median, and mode.
  • Learn how to choose the right calculations for data and do the math behind them.
  • Students will be able to decide and construct different visualizations and graphical representations used in Statistics.
  • Learn to find and calculate measures of dispersion, like range, variance, and standard deviation.

Prerequisites

  • This course is for complete beginners in Statistics and Data Science. No prior knowledge is needed to understand the concepts.
Data Science Statistics for Beginners

Curriculum

Check out the detailed breakdown of what’s inside the course

The Mean

7 Lectures
  • play icon 29. The Arithmetic Mean 01:19 01:19
  • play icon Mean from Assumed Mean 06:29 06:29
  • play icon The Sigma Notation 04:55 04:55
  • play icon An Example on calculating Mean 1 02:09 02:09
  • play icon An Example on calculating Mean 2 02:13 02:13
  • play icon An Example on calculating Mean 3 06:38 06:38
  • play icon Mean of Grouped Frequency Distribution 08:14 08:14

Welcome

3 Lectures
Tutorialspoint

Frequency Distribution Table

11 Lectures
Tutorialspoint

Graphical Representation of Data

16 Lectures
Tutorialspoint

Instructor Details

Adesola Samuel

Adesola Samuel

Adesola Samuel is a University student currently studying Mechatronics and Systems Engineering. A Machine Learning expert, Data Scientist and Research Data analyst with over five(5) years of freelance experience in deployment of Machine Learning models on physical devices, Microcontrollers (MCUs) and Microprocessors (MPUs).
His major research interest is in the field of tinyML and Internet of Things (IoT), and the Mathematics and statistical concepts behind these fields.
Adesola is highly interested in EdTech and has contributed to the delivery and advancement of technical training for his students and colleagues. In further pursuit of this, he manages a YouTube channel called Roles Academy, creating content on Mathematics, Statistics and their applications in Electronics.
While not doing technical work, he likes to read about Economics and History.

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