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# Statistics for Business Analytics A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
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4.4 (790 ratings)
6,845 students enrolled
Last updated 7/2017
English
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Includes:
• 7 hours on-demand video
• 1 Article
• Access on mobile and TV
• Certificate of Completion

### Training 5 or more people?

What Will I 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
View Curriculum
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 is the target audience?
• 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
Compare to Other Statistics Courses
Curriculum For This Course
42 Lectures
06:50:52
+
Distributions
11 Lectures 01:39:36
Preview 03:11

Continuous vs Discrete
06:47

Preview 11:38

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
+
Central Limit Theorem
10 Lectures 01:28:57
Plan of Attack
02:56

Populations and Samples
04:35

Sampling Distribution
03:06

Preview 08:01

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
+
Hypothesis Testing / Statistical Significance
8 Lectures 01:23:04
Plan of Attack
02:04

Preview 16:22

Statistical Significance
12:52

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
+
7 Lectures 01:24:51
What it means when you cannot reject the Null Hypothesis
15:07

Preview 09:41

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

6 questions
+
Vitaly Dolgov's Guest Section
6 Lectures 54:25
Who is Vitaly Dolgov?
00:43

Pareto Principle - Part 1
12:43

Pareto Principle - Part 2
03:26

Pareto Principle - Part 3
04:02

Trends in Analytics - Part 1
13:20

Trends in Analytics - Part 2
20:11

Pareto Principle/ Trends in Analytics
6 questions
 4.5 Average rating 58,385 Reviews 246,897 Students 30 Courses
Data Scientist & Forex Systems Expert

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

I teach courses in two distinct Business areas on Udemy: Data Science and Forex Trading. I want you to be confident that I can deliver the best training there is, so below is some of my background in both these fields.

Data Science

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.

Since 2007 I have been actively involved in the Forex market as a trader as well as running programming courses in MQL4. Forex trading is something I really enjoy, because the Forex market can give you financial, and more importantly - personal freedom.

In my other life I am a Data Scientist - I study numbers to analyze patterns in business processes and human behaviour... Sound familiar? Yep! Coincidentally, I am a big fan of Algorithmic Trading :) EAs, Forex Robots, Indicators, Scripts, MQL4, even java programming for Forex - Love It All!

Summary

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

 4.5 Average rating 51,984 Reviews 221,323 Students 20 Courses
Helping Data Scientists Succeed

Hi there,

We are the SuperDataScience team. You will find us in the Data Science courses taught by Kirill Eremenko - we are here to help you out with any questions and make sure your journey through the courses is always smooth sailing!

The best way to get in touch is to post a discussion in the Q&A of the course you are taking. In most cases we will respond within 24 hours.

We're passionate about helping you enjoy the courses!

See you in class,

Sincerely,

The Real People at SuperDataScience