Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Harvard University is offering the Fat Chance: Probability from the Ground Up course in partnership with edX. It is a seven-week programme that will cover probability and statistics up to the college level. Thorough video lectures support the programme curriculum. It will enable you to have a deep understanding of what lies at the core of quantitative reasoning.
By taking the Fat Chance online training programme, you will rise over learning through rote formulae and term memorisation. You will hone your basic counting skills, along with their application to probability problems. The curriculum of the programme will also take you through the concepts of expected value, normal distribution, and variance.
The probability from the Ground Up course by edX will train you to solve even the most complex problems based on stats and probability. Being a self-directed trainer, you can take your time to practice and learn the concepts as per your schedule. Also, as Harvard University is offering the course, the instructors will belong to the premier institution. The programme has two enrolment options; paid certificate mode and free audit mode. In the free audit mode, the students can get access to the programme only for a limited duration.
The Highlights
- Learn at your own pace
- Video lessons
- Beginner-level of difficulty
- Free-to-enrol course
- Learned academicians
- Availability of a course certificate
- Online module
- Seven-week course
- Offered by the Harvard University
Programme Offerings
- Course completion certificate
- online
- Offered by the Harvard University
- Introductory-level training
- Free learning programme
- Highly skilled course instructors
- Seven weeks of course duration
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| USD 149 | yes | Harvard University, Cambridge |
Fat Chance Probability from the Ground Up Fees Structure :
Course | Fees |
Fat Chance: Probability from the Ground Up certificate | $ 149 |
Eligibility Criteria
To enrol in the Fat Chance training programme by edX, you must be familiar with the algebra taught at the high school level. It will allow you to grab on to the concepts taught during the programme quickly.
What you will learn
You will concrete grasp over the concepts given below after finishing the edX Fat Chance: Probability from the Ground Up course:
- Basic statistics and probability
- Solving combinatorial problems of counting
- Solving advanced probability problems
- Normal distribution
- Applications of normal distribution
- Recognising common fallacies
Who it is for
The edX Fat Chance: Probability from the Ground Up programme is designed for people who have little or no prior knowledge of the subject. It will allow such participants to gain an understanding of crucial quantitative reasoning concepts.
Admission Details
- Go to the official website of edX.
- Search for the Fat Chance: Probability from the Ground Up course on the website's search bar.
- Now, on the course page, you can click on "Enroll."
- Proceed by registering on the website. Alternatively, you can log in with any of your account credentials like Facebook, Microsoft, or edX.
The Syllabus
- Counting numbers
- Large Numbers
- The Multiplication Principle
- More on the Multiplication Principle and Factorials
- The Subtraction Principle
- Counting Collections
- Binomial Coefficients
- Applications of Collections
- Multinomials
- Collections with Repetition
- Flipping Coins
- Rolling Dice
- Playing Poker
- Distributions of Bridge Hands
- Expected Value: Chuck-A-Luck
- Expected Value: Slot Machines
- Strategizing
- The Monty Hall Problem
- Conditional Probability: Set-Up and Examples
- Conditional Probability: Elections
- Bernoulli Trials
- The Gambler's Ruin
- Games
- Games: Examples and Variance
- Iterating Games
- The Normal Distribution - Part 1
- The Normal Distribution - Part 2