Курс Probability and Statistics for Business and Data Science

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Обучение платное
Сертификация бесплатная
5 часов курса
О курсе

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!


  • 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
  • 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!

Course Overview Lecture - PLEASE DO NOT SKIP THIS!
FAQ - Frequently Asked Questions
Learn the basics of Data and how we'll use it for visualization and statistical analysis
What is Data?
Measuring Data
Quiz #1 - Measuring Data
Five multiple choice questions on Types of Data, Mathematical Symbols & Syntax
Measurements of Central Tendency
Quiz #2 - Measures of Central Tendency
Two multiple-choice questions on mean, median and mode
Measurements of Dispersion
Quiz #3 - Measures of Dispersion
Measurements - Quartiles
  • Paper and Pencil to take notes
  • Optional: Excel or Python to run simulations
Что Вы изучите?
  • 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
Jose Portilla
Jose Portilla
Head of Data Science, Pierian Data Inc.

  Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

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