• Anytime
    Application Deadline
  • 56 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Data Science - Inference and Modeling Certificate in collaboration with Harvard University - HarvardX. Learn inference and modeling, two of the most widely used statistical tools in data analysis.

About

Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting. 

The programme

This Data Science - Inference and Modeling Certificate, which is part of Data Science Professional Certificate from EdX in partnership with Harvard University - HarvardX, will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R. You will learn concepts necessary to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast. 

Once you learn this you will be able to understand two concepts that are ubiquitous in data science: confidence intervals, and p-values. Then, to understand statements about the probability of a candidate winning, you will learn about Bayesian modeling. Finally, at the end of the course, we will put it all together to recreate a simplified version of an election forecast model and apply it to the 2016 election.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 56 days
    • Intensity 1 hrs/week
    • Part-time variant
      Flexible
    • Duration description
      1–2 hours per week, for 8 weeks
  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

What you'll learn:

  • The concepts necessary to define estimates and margins of errors of populations, parameters, estimates and standard errors in order to make predictions about data
  • How to use models to aggregate data from different sources
  • The very basics of Bayesian statistics and predictive modeling

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

General Requirements

Prerequisites

  • Data Science: Probability or a basic knowledge of probability theory.

Tuition Fee

  • International

    49 USD/full
    Tuition Fee
    Based on the original amount of 49 USD for the full programme and a duration of 56 days.
  • National

    49 USD/full
    Tuition Fee
    Based on the original amount of 49 USD for the full programme and a duration of 56 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.

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