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Development Data Science Statistics

Statistics for Business Analytics and Data Science A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
Highest Rated
Rating: 4.6 out of 54.6 (8,018 ratings)
44,745 students
Created by Kirill Eremenko, Ligency Team
Last updated 2/2021
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • 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
  • Apply the Central Limit Theorem in practice
  • Apply Hypothesis Testing for Means
  • Apply Hypothesis Testing for Proportions
  • Use the Z-Score and Z-Tables
  • Use the t-Score and t-Tables
  • Understand the difference between a normal distribution and a t-distribution
  • Understand and apply statistical significance
  • Create confidence intervals
  • Understand the potential pitfalls of overusing p-Values
Curated for the Udemy for Business collection

Course content

6 sections • 42 lectures • 6h 4m total length

  • Preview02:09
  • BONUS: Learning Paths
    00:51
  • Some Additional Resources!!
    00:14

  • Preview03:11
  • Updates on Udemy Reviews
    01:09
  • Continuous vs Discrete
    06:47
  • What is a Distribution?
    Preview11:38
  • What is Standard Deviation?
    12:16
  • Normal Distribution
    04:44
  • Skewness
    04:01
  • Mean, Median, Mode
    11:38
  • Homework
    05:18
  • Homework Solution - Part 1
    16:57
  • Homework Solution - Part 2
    12:30
  • EXTRA: Cantor's Diagonal Argument
    10:36
  • Distributions
    6 questions

  • Plan of Attack
    02:56
  • Populations and Samples
    04:35
  • Sampling Distribution
    03:06
  • Central Limit Theorem
    Preview08:01
  • Central Limit Theorem - Intuition
    10:08
  • Central Limit Theorem - Visualization
    09:07
  • Z-Score
    09:48
  • Hands-On CLT - Analytics Challenge
    19:01
  • Homework
    03:08
  • Homework Solution
    19:07
  • Central Limit Theorem
    6 questions

  • Plan of Attack
    02:04
  • Preview12:52
  • Hypothesis Testing - Steps
    16:22
  • Hypothesis Testing - Rejection Region
    07:58
  • Hypothesis Testing Assumptions
    12:51
  • Proportion Testing
    16:07
  • Homework
    01:35
  • Homework Solution
    13:15
  • Hypothesis Testing/ Statistical Significance
    6 questions

  • What it means when you cannot reject the Null Hypothesis
    15:07
  • Student's t-distribution
    Preview09:41
  • T-Tests
    18:21
  • 1-Tailed And 2-Tailed Tests
    10:39
  • 2-Tailed Test Exercise
    15:22
  • Warning about misuse and overuse of p-values
    13:18
  • Real Life Example
    02:23
  • Advanced Hypothesis Testing
    6 questions
  • THANK YOU bonus video
    02:40

  • ***YOUR SPECIAL BONUS***
    00:28

Requirements

  • Just a basic knowledge of high school maths

Description

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

But it's just hard to get started... Learning / re-learning ALL of stats just seems like a daunting task.

That's exactly why I have created this course!

Here you will quickly get the absolutely essential stats knowledge for a Data Scientist or Analyst.

This is not just another boring course on stats. 

This course is very practical. 

I have specifically included real-world examples of business challenges to show you how you could apply this knowledge to boost YOUR career.

At the same time you will master topics such as distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance and many more!

So what are you waiting for?

Enroll now and empower your career!

Who this course is for:

  • Anybody who wants to master stats for business analytics
  • Anybody who wants to learn stats from the ground up
  • Anybody who wants to get hands-on experience with stats

Featured review

Carlin Aloysius
Carlin Aloysius
7 courses
4 reviews
Rating: 5.0 out of 511 months ago
It's lovely that the course includes the basics of statistics in the very beginning. For a person like me who is learning statistics for the very first time, it becomes easy to get acquainted with the concepts which become the base for the later stages of the course. Kirill uses a straightforward language to explain the different ideas and terminologies, which is appreciable. Overall I feel happy about my decision to take this course.

Instructors

Kirill Eremenko
Data Scientist
Kirill Eremenko
  • 4.5 Instructor Rating
  • 460,201 Reviews
  • 1,701,266 Students
  • 44 Courses

My name is Kirill Eremenko and I am super-psyched that you are reading this!

Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Ligency Team
Helping Data Scientists Succeed
Ligency Team
  • 4.5 Instructor Rating
  • 470,219 Reviews
  • 1,688,996 Students
  • 109 Courses

Hi there,

We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

The Real People at Ligency

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