# Probability for Statistics and Data Science

## What you'll learn

- Understand probability theory
- Discover Combinatorics
- Learn how to use and interpret Bayesian Notation
- Different types of distributions variables can follow

## Course content

- Preview03:43
- Preview07:09
- 3 questionsWhat is the probability formula?
- 05:29How to compute expected values?
- 3 questionsHow to compute expected values?
- 05:00What is a probability frequency distribution?
- 3 questionsWhat is a probability frequency distribution?
- Preview05:26
- 3 questionsWhat is a complement?

## Requirements

- Absolutely no experience is required. We will start from the basics and gradually build up your knowledge.
- A willingness to learn and practice

## 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 itTo 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

. A probabilistic mindset is definitely one of the non-automatable skills that managers of the next decade will be expected to have*probability*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 growthNew 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!*

## Who this course is for:

- People who want a career in Data Science
- People interested in a Business Intelligence career
- Business analysts
- Business executives
- Individuals who are passionate about numbers and quant analysis
- Anyone who wants to learn the subtleties of Probability and how it is used in the business world
- People who want to start learning probability
- People who want to learn the fundamentals of probability
- People who wish to extract insights from summarized statistics to understand academic papers

## Featured review

## Instructor

**365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 1,500,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.**

Currently, the 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

**5)** **Blockchain for Business**

All of our courses are:

- Pre-scripted

- Hands-on

- Laser-focused

- Engaging

- Real-life tested

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur**365 Careers’ courses are the perfect place to start. **