Probability and Statistics for Business and Data Science
4.5 (3,209 ratings)
16,431 students enrolled

# Probability and Statistics for Business and Data Science

Learn how to apply probability and statistics to real data science and business applications!
4.5 (3,209 ratings)
16,431 students enrolled
Created by Jose Portilla
Last updated 9/2019
English
English [Auto], French [Auto], 5 more
Current price: \$135.99 Original price: \$194.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
• 5 hours on-demand video
• 10 articles
• Access on mobile and TV
• Certificate of Completion
Training 5 or more people?

What you'll learn
• Understand the basics of probability
• Be able to implement basic statistics
• Understand how to use various statistical distributions
• Apply statistical methods and hypothesis testing to business problems
• Understand how regression models work
• Implement one way and two way ANOVA
• Understand Chi Squared Tests
• Be able to understand different types of data
Course content
Expand all 53 lectures 05:14:16
+ Introduction
2 lectures 05:39
00:21
+ Data
8 lectures 01:00:51
What is Data?
09:17
Measuring Data
13:09

Five multiple choice questions on Types of Data, Mathematical Symbols & Syntax

Quiz #1 - Measuring Data
4 questions
Measurements of Central Tendency
05:28

Two multiple-choice questions on mean, median and mode

Quiz #2 - Measures of Central Tendency
2 questions
Measurements of Dispersion
09:01
Quiz #3 - Measures of Dispersion
1 question
Measurements - Quartiles
05:55
Quiz #4 - Quartiles and IQR
2 questions
Bi-variate Data and Covariance
10:34
Pearson Correlation Coefficient
07:20

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise01-Data. Answers are provided in a second file Exercise01-Data-ANSWERS. Good luck!

Section Assessment - Data
00:07
+ Probability
9 lectures 52:21
What is Probability?
04:59
Permutations
07:32
Quiz #5 - Permutations
2 questions
Combinations
06:50
Quiz #6 - Combinations
2 questions
Intersections, Unions, and Complements
06:21
Independent and Dependent Events
05:28
Quiz #7 - Independent & Dependent Events
1 question
Conditional Probability
04:20
Quiz #8 - Conditional Probability
3 questions
05:31
Bayes Theorem
11:13
Quiz #9 - Bayes Theorem
1 question

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise02-Probability. Answers are provided in a second file Exercise02-Probability-ANSWERS. Good luck!

Section Assessment - Probability
00:07
+ Distributions
8 lectures 55:08
Introduction to Distributions
01:14
Uniform Distribution
01:57
Quiz #10 - Uniform Distribution
2 questions
Preview 12:21
Quiz #11 - Binomial Distribution
2 questions
Poisson Distribution
17:16
Quiz #12 - Poisson Distribution
2 questions
Normal Distribution
07:36
Quiz #13 - Normal Distribution
3 questions
Normal Distribution - Formulas and Z Scores
14:13
Quiz #14 - Z Score
2 questions

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise03-Distributions. Answers are provided in a second file Exercise03-Distributions-ANSWERS. Good luck!

Section Assessment - Distributions
00:07

As an optional resource for those familiar with Python, we've included the interactive Dash scripts used to display the Binomial Distribution, Poisson Distribution, Normal Distribution and side-by-side Normal Distributions on the screen. Changes to the input parameters (mean, standard deviation, degrees of freedom, etc.) are immediately reflected in the graphs. Enjoy!

Optional Resource - Dash Scripts
00:24
+ Statistics
11 lectures 01:08:31
What is Statistics?
02:24
Sampling
10:40
Central Limit Theorem
03:43
Quiz #15 - Sampling and CLT
3 questions
Standard Error
07:15
Hypothesis Testing
11:43
Hypothesis Testing Example Exercise #2
04:27
Quiz #16 - Hypothesis Testing #1
4 questions
Type 1 and Type 2 Errors
03:38
Quiz #17 - Hypothesis Testing #2
4 questions
Student's T Distribution
10:21
Student's T Distribution Example Exercise
08:24

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise04-Statistics. Answers are provided in a second file Exercise04-Statistics-ANSWERS. Good luck!

Section Assessment - Statistics
00:07
+ Analysis of Variance (ANOVA)
7 lectures 34:08
Introduction to ANOVA
01:25
ANOVA - Analysis of Variance
07:10
F Distribution
05:22
Two Way ANOVA Overview
06:59
Two Way ANOVA Example Exercise
05:00
Two Way ANOVA with Replication
08:05

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise05-ANOVA. Answers are provided in a second file Exercise05-ANOVA-ANSWERS. Good luck!

Section Assessment - ANOVA
00:07
+ Regression
4 lectures 24:27
Linear Regression
11:24
Regression Example
04:08
Multiple Regression
08:48

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise06-Regression. Answers are provided in a second file Exercise06-Regression-ANSWERS. Good luck!

Section Assessment - Regression
00:07
+ Chi-Square Analysis
3 lectures 12:58
Chi-Square Analysis
07:15
Chi Squared Analysis - Exercise Example
05:36

To complete this exercise, click on the Resources for this lecture, download and print the .pdf file titled Exercise07-ChiSquare. Answers are provided in a second file Exercise07-ChiSquare-ANSWERS. Good luck!

Section Assessment - Chi Square Analysis
00:07
Requirements
• Paper and Pencil to take notes
• Optional: Excel or Python to run simulations
Description

Welcome to Probability and Statistics for Business and Data Science!

In this course we cover what you need to know about probability and statistics to succeed in business and the data science field!

This practical course will go over theory and implementation of statistics to real world problems. Each section has example problems, in course quizzes, and assessment tests.

We’ll start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other.

Afterwards we’ll dive into probability , learning about combinations and permutations, as well as conditional probability and how to apply bayes theorem.

Then we’ll move on to discussing the most common distributions found in statistics, creating a solid foundation of understanding how to work with uniform, binomial, poisson, and normal distributions.

Up next we’ll talk about statistics, applying what we’ve learned so far to real world business cases, including hypothesis testing and the student's T distribution.

We’ll end the course with 3 sections on advanced topics, such as ANOVA (analysis of variance), understanding regression analysis, and finally performing chi squared analysis.

The sections are modular and organized by topic, so you can reference what you need and jump right in!

Our course includes HD Video with clear explanations and high quality animations, we also include extensive case studies to show you how to apply this knowledge to the real world.

We'll cover everything you need to know about statistics and probability to clearly tackle real world business and data science problems!

Including:

• Measurements of Data

• Mean, Median, and Mode

• Variance and Standard Deviation

• Co-variance and Correlation

• Permutations and Combinations

• Unions and Intersections

• Conditional Probability

• Bayes Theorem

• Binomial Distribution

• Poisson Distribution

• Normal Distribution

• Sampling

• Central Limit Theorem

• Hypothesis Testing

• T-Distribution Testing

• Regression Analysis

• ANOVA

• Chi Squared

• and much more!

Not only do you get great technical content, but you’ll also have access to our online QA forums as well as our student chat channel. Where the TAs and myself are happy to help out with any questions you encounter! Upon finishing this course you’ll receive a certificate of completion you can post on your linkedin profile to show off to your colleagues, or even potential employers!

All of this content comes with a 30 day money back guarantee, so you can try out the course risk free!

So what are you waiting for? Enroll today and we'll see you inside the course!

Who this course is for:
• Someone interested in learning how to apply probability and statistics to business or data science