Statistics for Business Analytics and Data Science A-Z

4.5 /5

(2 Ratings)

Offered byUDEMY

Statistics for Business Analytics and Data Science A-Z
at
UDEMY
Overview

Learn the core stats for a data science career and master statistical significance, confidence intervals and much more

Duration	6 hours
Total fee	₹360
Mode of learning	Online
Credential	Certificate

Statistics for Business Analytics and Data Science A-Z
at
UDEMY
Highlights

Earn a Certificate of completion from Udemy
Get a 30 days money back guarantee on the course
Get full lifetime access of the course material

Statistics for Business Analytics and Data Science A-Z
at
UDEMY
Course details

Skills you will learn

Software Testing Data Science Business Analytics Statistics Hypothesis Testing Data visualization

Who should do this course?

For anybody who wants to master stats for business analytics, learn stats from the ground up and get hands-on experience with stats

What are the course deliverables?

Understand what a Normal Distribution is
Understand standard deviations
Explain the difference between continuous and discrete variables
Understand what a sampling distribution is
Understand the Central Limit Theorem

More about this course

If participants are aiming for a career as a Data Scientist or Business Analyst then brushing up on their statistics skills is something you need to do

Statistics for Business Analytics and Data Science A-Z
at
UDEMY
Curriculum

Introduction

BONUS: Learning Paths

Some Additional Resources!!

Distributions

Updates on Udemy Reviews

Continuous vs Discrete

What is Standard Deviation?

Normal Distribution

Skewness

Mean, Median, Mode

Homework

Homework Solution - Part 1

Homework Solution - Part 2

EXTRA: Cantor's Diagonal Argument

Central limit theorem

Plan of Attack

Populations and Samples

Sampling Distribution

Central Limit Theorem - Visualization

Hypothesis Testing - Steps

Hypothesis Testing - Rejection Region

Hypothesis Testing Assumptions

Proportion Testing

Homework

Homework Solution

Hypothesis Testing/ Statistical Significance

What it means when you cannot reject the Null Hypothesis

T-Tests

1-Tailed And 2-Tailed Tests

2-Tailed Test Exercise

Warning about misuse and overuse of p-values

Real Life Example

Advanced Hypothesis Testing

Statistics for Business Analytics and Data Science A-Z
at
UDEMY
Faculty details

Kirill Eremenko

Kirill Eremenko comes from a Data Science consulting space with experience in finance, retail, transport and other industries. He was trained by the best analytics mentors at Deloitte Australia and since starting on Udemy he has passed on his knowledge to thousands of aspiring data scientists.