Probability for Statistics and Data Science (Udemy.com)
Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions
Created by: 365 Careers
Last updated February 2024
What you will learn
- Understand probability theory
- Discover Combinatorics
- Learn how to use and interpret Bayesian Notation
- Different types of distributions variables can follow
How it compares
Against the other 127 rated Udemy courses in Math on CourseDuck:
- Rating4.5 out of 5higher than 25% of them
- Reviews1,265#22 of 128 by number of reviews
- Length3.7 hoursshorter than 80% of them
- Last updatedFebruary 2024earlier than 60% of them
Course Description
Probability is probably the most fundamental skill you need to acquire if you want to be successful in the world of business. What most people don’t realize is that having a probabilistic mindset is much more important than knowing “absolute truths”.
You are already here, so actually you know that.
And it doesn’t matter if it is pure probability, statistics, business intelligence, finance or data science where you want to apply your probability knowledge…
Probability for Statistics and Data Science has your back!
This is the place where you’ll take your career to the next level – that of probability, conditional probability, Bayesian probability, and probability distributions.
You may be wondering: “Hey, but what makes this course better than all the rest?”
Probability for Statistics and Data Science has been carefully crafted to reflect the most in-demand skills that will enable you to understand and compute complicated probabilistic concepts. This course is:
Easy to understand
Comprehensive
Practical
To the point
Beautifully animated (with amazing video quality)
Packed with plenty of exercises and resources
That’s all great, but what will you actually learn? Probability. And nothing less.
To be more specific, we focus on the business implementation of probability concepts. This translates into a comprehensive course consisting of:
An introductory part that will acquaint you with the most basic concepts in the field of probability: event, sample space, complement, expected value, variance, probability distribution function
We gradually build on your knowledge with the first widely applicable formulas:
Combinatorics or the realm of permutations, variations, and combinations. That’s the place where you’ll learn the laws that govern “everyday probability”
Once you’ve got a solid background, you’ll be ready for some deeper probability theory – Bayesian probability.
Have you seen this expression: P(A|B) = P(B|A)P(A)/P(B) ? That’s the Bayes’ theorem – the most fundamental building block of Bayesian inference. It seems complicated but it will take you less than 1 hour to understand not only how to read it, but also how to use it and prove it
To get there you’ll learn about unions, intersections, mutually exclusive sets, overlapping sets, conditional probability, the addition rule, and the multiplication rule
Most of these topics can be found online in one form or another. But we are not bothered by that because we are certain of the outstanding quality of teaching that we provide.
What we are really proud of, though, is what comes next in the course. Distributions.
Distributions are something like the “heart” of probability applied in data science. You may have heard of many of them, but this is the only place where you’ll find detailed information about many of the most common distributions.
Discrete: Uniform distribution, Bernoulli distribution, Binomial distribution (that’s where you’ll see a lot of the combinatorics from the previous parts), Poisson
Continuous: Normal distribution, Standard normal distribution, Student’s T, Chi-Squared, Exponential, Logistic
Not only do we have a dedicated video for each one of them, how to determine them, where they are applied, but also how to apply their formulas.
Finally, we’ll have a short discussion on 3 of the most common places where you can stumble upon probability:
Finance
Statistics
Data Science
If that’s not enough, keep in mind that we’ve got real-life cases after each of our sections. We know that nobody wants to learn dry theory without seeing it applied to real business situations so that’s in store, too!
We think that this will be enough to convince you curriculum-wise. But we also know that you really care about WHO is teaching you, too.
Teaching is our passion
We worked hard for over four months to create the best possible Probability course that would deliver the most value to you. We want you to succeed, which is why the course aims to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, are just some of the perks you will get. What else?
Exceptional Q&A support. Yes. That’s our favorite part – interacting with you on the various topics you learn about (and you are going to love it, too!)
What makes this course different from the rest of the Probability courses out there?
High-quality production – HD video and animations (This isn’t a collection of boring lectures!)
Knowledgeable instructor (an adept mathematician who has competed at an international level) who will bring you not only his probability knowledge but the complicated interconnections between his areas of expertise – finance and data science
Comprehensive – we will cover all major probability topics and skills you need to level up your career
Extensive case studies - helping you reinforce everything you’ve learned
Exceptional support – we said that, but let’s say it again - if you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day
Succinct – the biggest investment you’ll make is your own time. And we will not waste it. All our teaching is straight to the point
Still not convinced?
Here’s why you need these skills?
Salary/Income – most businesses are starting to realize the advantages of implementing data-driven decisions. And those are all stepping on probability. A probabilistic mindset is definitely one of the non-automatable skills that managers of the next decade will be expected to have
Promotions and secure future – If you understand probability well, you will be able to back up your business and positions in much more convincing way, draining from quantitative evidence; needless to say, that’s the path to career growth
New horizons – probability is a pathway to many positions in any industry. While it is rarely a full-time position, it is crucial for most business jobs nowadays. And it’s not a boring aspect!
Please bear in mind that the course comes with Udemy’s 30-day money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you.
Let's start learning together now!
Instructor Details
- 4.5 Rating
1,265 Reviews
365 Careers
365 Careers is the #1 best-selling provider of business, finance, data science and AI courses on Udemy. The company’s courses have been taken by more than 4,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.
Currently, 365 focuses on the following topics on Udemy: 1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA
2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy
3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing
4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook
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Reviews
By Brett Larsen on 12/12/2025
Overall the content was good and educational, giving me a better understanding of the topic. My only big issue that I had throughout the course was that many of the questions in the quizzes seemed to be worded to trick the reader, rather than to actually teach. But other than that, it was a good course.
By MANUEL SANCHEZ on 3/8/2024
I would suggest aside from the quizzes, also add more tests and case studies for each topic. That would be very helpful in galvanizing the theory on its applications. Great job explaining and delivering the concepts in simple words as well as the animated videos.
By Nino Barjadze on 2/18/2022
The videos are short but very informative. All the information is delivered graphically and verbally at the same time. The examples are clear and the representations make it more clear. Quizzes and homeworks are accurate and really helps you understand what you've learned in videos.
By Samruddha Tupe on 4/25/2021
A really good course it is. Really easy language and substantial working material. I am studying data science in my SY engineering. In my 12th, I was not able to complete the probability lessons at the end of the book. This course not only made me understand the concepts to the most fundamental level, so much so that I don't use the formula but apply the concept and the result is perfect, but also helps me in my data science course. For example normal distribution and z value understanding is a must in descriptive statistics. Earlier I was not understanding anything of it, I was just cramming it, I did not know what y axis represents or anything like that, or why mean and standard deviation are there for normal distribution and why elements are not there on x axis, but now, thanks to this course, I am able to understand that course with much ease. Very sincere thanks from my side. Thanks You
By Kyle Ryan Boerstler on 8/12/2020
This was more basic than I anticipated, and there were several times that the wrong word was used in the verbal description, which could mislead someone who is an audio learner. Overall it wasn't bad, but I also wish the quiz questions had a little more thought put into them (some were super easy, and some were literally trick questions which made you feel like you didn't understand something even if you really did).
By Perez John on 2/19/2020
I really like the course. It is well structured and organized. It is clearly explained and the speaker has a very clear voice, with a good tempo and the volume is always constant; the voice tone keeps you on track and it is NOT like a lullaby. The examples given are from real life and makes sense to work on. The animations in the video are just perfect, neither with too much movement to distract you nor too static to make you boring.
By Shreya Shetty on 2/13/2020
Pros: - Very well designed course. The pace is perfect. - You have a few Aha! moments. (Especially the Conditional Probability examples. I have always struggled to understand its essence. But, Thanks to you now I get it.) - The visualisations better aid the understanding of the concepts. - Though the number of topics covered are limited, each of them is very well explained. Cons: - I just hope there was more detailed notes which included all the examples in the lectures. - Can include more information about the PDF mathematics. Overall a great course for beginners and folks who want to touch up on their basic probability concepts. Recommended!
By Julieta Estades on 1/31/2020
From the perspective of somebody with some experience reading and using Excel Pivot Tables, but no experience whatsoever in Statistics, I found this course really engaging and clear. The lessons were comprehensive and the practice exercises were truly inspiring. I'd recommend this course to more people. If I can comment on one thing, although the course notes are really clear and useful, it would be good to have a general summary of all topics, including all formulas, to be used in our future probability calculations. In any case, I enjoyed the course a lot.
By Noel Gomes on 6/29/2019
I appreciate the effort taken to design the course. The content both audio and visual is paced well. I would like to take the next levels of this series to get more and more in to the world on distribution, probabilities and statistics. Please please please continue a series of course with extensions like Level 1,2,3,4,5. Thank you.
By Arber Asanoski on 4/29/2019
it was a good intro. not much practice was included topic to topic pretty quick, without self reinforcement easy for the info to go in one ear and out the other. great for intro but don't expect to have a firm enough grasp of probability to really to solve anything beyond basic questions.
Quality Score
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Overall Score : 90 / 100












