Jose Portilla
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!
Instructor Details
Courses : 21
Specification: Probability and Statistics for Business and Data Science
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30 reviews for Probability and Statistics for Business and Data Science
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 5 hours |
| Year | 2019 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Andy Hawthorne –
The course is covering exactly what I needed to learn.
Jesu De Leon –
Portillo explains everything in a clear manner, easy to understand and within context. Highly recommended.
Katie Anderson –
Really helpful, very technical so not great as a brush up but good for someone who already has a math background.
Zak Timms –
Another great course from Jose. Everything explained clearly and professionally.
Jhun Nester Doyogan –
very good course
Brian Monedero Linn –
This was a great course. It provides a great overview of the statistics used in data science without relying on too much math. It is a great start to learning the math behind data science.
Ivan Ulises Li an –
good!
Fabio Sabbahi –
Jose is a great instructor, very straightforward in approaching the theories and brings relevant information that will be used on a daily basis. This makes the course very efficient.
Nelson Rahn –
Good high level overview and refresher course.
Geoffrey Nyangwara –
informatve
Vivaswan Jinturkar –
Great for beginners . Not for people looking to learn advanced statistics. More examples and exercises could be added. Thanks
Supasit Chalermchaiwat –
clear explanation, recommended for this course if you want to refresh your statistic skills.
Karthikeyan Muthu –
Great Course with implementation in Python
Matthias Pfeiffer –
first chapters are very good. From Z Score section on, explanations are not so good anymore.
Shruti Veluvolu –
Clear and concise, easy to understand examples.
Syed Farhan Ahmad –
To be honest this course is good for those who are ready to do extra research on the topics taught because not all concepts are covered deeply.
Minnie Lahoti –
He explains things at a surface level and this course is insufficient to get a thorough understanding of probability and statistics in real world data science fields. I would not recommend this couse.
Tej Yadav –
Perfect as always!!!
Aniruddha Das –
Amzing*
Kapil Pant –
Jose Sir is the best
Harold One Feather –
very interesting, I like listening and watching the videos so far, very informative as well…not boring or overbearing, very clear speaking
Tanmay Tandel –
Clear pronunciations, easy way of explaining concepts.
Nikhar Sachdeva –
Clear explanation of the topics
Shahabaj Shaikh –
I would definitely recommend to pursue this course. Important concept of Statistic for Data Science are covered and taught very well.
Lakshmi Narasimha Sastry Kadiyala –
Very Good Course…
Yousef ALghariba –
The Tutor have skill that makes him explains the subject in easy way
Emre Israel Akanak –
I really liked and enjoyed he course. I highly recommend it
Viviane Pierre Louis –
I love the way Mr. Portilla teaches. He gives you resources to follow along with the lectures. I could be bias, but I have bought almost all his courses. He explains the material well, and test your knowledge at the end on each sections.
Oluwaseun Solomon –
The explanations to the topic was clear and concise…lovely experience
Rupam Devnath –
It was a good course to get an overview of statistical approaches but It would be very helpful if Jose might include workflow with real life datasets and when to apply which type to statistical test based on the scenario.