4.53 out of 5
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Probability and Statistics for Business and Data Science

Learn how to apply probability and statistics to real data science and business applications!
Instructor:
Jose Portilla
21,450 students enrolled
English [Auto] More
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

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!

Introduction

1
Course Overview Lecture - PLEASE DO NOT SKIP THIS!
2
FAQ - Frequently Asked Questions

Data

1
What is Data?
2
Measuring Data
3
Quiz #1 - Measuring Data

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

4
Measurements of Central Tendency
5
Quiz #2 - Measures of Central Tendency

Two multiple-choice questions on mean, median and mode

6
Measurements of Dispersion
7
Quiz #3 - Measures of Dispersion
8
Measurements - Quartiles
9
Quiz #4 - Quartiles and IQR
10
Bi-variate Data and Covariance
11
Pearson Correlation Coefficient
12
Section Assessment - Data

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!

Probability

1
What is Probability?
2
Permutations
3
Quiz #5 - Permutations
4
Combinations
5
Quiz #6 - Combinations
6
Intersections, Unions, and Complements
7
Independent and Dependent Events
8
Quiz #7 - Independent & Dependent Events
9
Conditional Probability
10
Quiz #8 - Conditional Probability
11
Addition and Multiplication Rules
12
Bayes Theorem
13
Quiz #9 - Bayes Theorem
14
Section Assessment - Probability

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!

Distributions

1
Introduction to Distributions
2
Uniform Distribution
3
Quiz #10 - Uniform Distribution
4
Binomial Distribution
5
Quiz #11 - Binomial Distribution
6
Poisson Distribution
7
Quiz #12 - Poisson Distribution
8
Normal Distribution
9
Quiz #13 - Normal Distribution
10
Normal Distribution - Formulas and Z Scores
11
Quiz #14 - Z Score
12
Section Assessment - Distributions

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!

13
Optional Resource - Dash Scripts

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!

Statistics

1
What is Statistics?
2
Sampling
3
Central Limit Theorem
4
Quiz #15 - Sampling and CLT
5
Standard Error
6
Hypothesis Testing
7
Hypothesis Testing Example Exercise #1
8
Hypothesis Testing Example Exercise #2
9
Quiz #16 - Hypothesis Testing #1
10
Type 1 and Type 2 Errors
11
Quiz #17 - Hypothesis Testing #2
12
Student's T Distribution
13
Student's T Distribution Example Exercise
14
Section Assessment - Statistics

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!

Analysis of Variance (ANOVA)

1
Introduction to ANOVA
2
ANOVA - Analysis of Variance
3
F Distribution
4
Two Way ANOVA Overview
5
Two Way ANOVA Example Exercise
6
Two Way ANOVA with Replication
7
Section Assessment - ANOVA

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! 

Regression

1
Linear Regression
2
Regression Example
3
Multiple Regression
4
Section Assessment - Regression

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!  

Chi-Square Analysis

1
Chi-Square Analysis
2
Chi Squared Analysis - Exercise Example
3
Section Assessment - Chi Square Analysis

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!   

BONUS SECTION: THANK YOU!

1
BONUS LECTURE
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Certificate of Completion
Probability and Statistics for Business and Data Science
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