# Step-by-Step Statistics For Data Science By Spotle.ai

The basic statistics you must learn for a solid career in Data Science

Language - English

Published on 05/2022

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• Statistics And Its Applications With Quiz
05:33
Preview
• Types Of Variables And Scales With Quiz
08:52
• Describing Data With Quiz
06:57
• Distribution And Measure Of Central Tendency With Quiz
06:25
Preview
• Measure Of Dispersion With Quiz
04:32
• Skewness And Kurtosis With Quiz
06:54
• Box And Whisker Plot, Scatter Plot And Correlation Coefficient
04:38

#### Description

Data Science has become a key industry driver in the global job and opportunity market. A career in Data Science is something that many people are aspiring and preparing for. This course is designed by the global subject experts for the enthusiasts to give a 360 degree coverage of Statistics that lies at the core of Data Science. The course will help people learn the essentials skills for data analysis, as well help them solve complex business problems. This is an ideal course for the enthusiasts who want to make it big into Data Science as a whole.

This course is also highly recommended for the students of standard 12 to graduations who are dong major in Statistics. Each and every topic in this Spotle.ai compact course has been explained with multiple examples. At the end of each topic quiz have been added to help you test your understanding of the subject. Each quiz question has been explained in detail.

#### What Will I Get ?

• Basic statics - measuring central tendency, skewness and kurtosis

• Data visualization using Python

• Missing data imputation

• The concepts of statistical estimation, test of hypothesis, normality test, contingency table Chi square test explained through detailed videos

• To conduct statistical tests with real-life examples

• All concepts through exercises, solved problems

#### Requirements

• We will start from the scratch in this course. It's great if you already have the basic knowledge of statistics and Python programming language.
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This Course Includes :

2 hours

24 Lectures