Studyportals
Certificate Online

Data Science - Probability edX - online learning platform

Highlights
Tuition fee
1332 USD / full
1332 USD / full
Unknown
Tuition fee
1332 USD / full
1332 USD / full
Unknown
Duration
2 months
Duration
2 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

EdX is an online learning platform trusted by over 12 million users offering the Data Science - Probability Certificate in collaboration with Harvard University - HarvardX. Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Overview

Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists. 

Key facts

In this Data Science - Probability Certificate, which is part of Data Science Professional Certificate from EdX in partnership with Harvard University - HarvardX, you will learn important concepts in probability theory. 

The motivation for this course is the circumstances surrounding the financial crisis of 2007-2008. Part of what caused this financial crisis was that the risk of certain securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.

We will introduce important concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. These statistical concepts are fundamental to conducting statistical tests on data and understanding whether the data you are analyzing is likely occurring due to an experimental method or to chance.

Programme Structure

What you'll learn

  • Important concepts in probability theory including random variables and independence

  • How to perform a Monte Carlo simulation

  • The meaning of expected values and standard errors and how to compute them in R

  • The importance of the Central Limit Theorem

Key information

Duration

  • Part-time
    • 2 months
    • 1 hrs/week

Start dates & application deadlines

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Portland, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources. 

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    1332 USD / full
    1332 USD / full
  • Out-of-State
    1332 USD / full
    1332 USD / full

Additional Details

  • Limited access: Free
  • Professional Certificate (9 courses): $1,332.90

Funding

Other interesting programmes for you

Our partners

Data Science - Probability
edX - online learning platform
Data Science - Probability
-
edX - online learning platform

Wishlist

Go to your profile page to get personalised recommendations!