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 Top 10 Free Online Courses: Econometrics 2016

Top 10 Free Online Courses: Econometrics 2016

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If you're a self-motivated learner who wants to pick up new skills and knowledge in your spare time, but you don't want to shell out for an expensive course, then there are a large number of free online courses which you can take. Ranging from undergraduate to postgraduate levels, such courses are often provided by universities or online learning specialists, and can include online lectures, notes, and assessments.

If you're interested in economics or mathematics, then today we're sharing a list of the top ten free online courses in econometrics. We've covered this topic before, back in 2013, but now we have a new updated list for 2015.

1. Econometrics MOOC

  • Course Provider: Econometrics Academy
  • Duration: 6-15 weeks
  • Background needed: Knowledge of Stata, R, or SAS, and Linear Regression Models

2. Introduction to Computational Finance and Financial Econometrics

  • Course Provider: University of Washington / Coursera
  • Duration: 10 weeks
  • Background needed: Introductory course, no experience required.

3. Econometrics

  • Course Provider:  MIT
  • Duration: Self Paced
  • Background needed: Completed introductory course to statistics in economics. Students should be familiar with basic concepts in probability theory and statistical inference.

4. Asset Pricing

  • Course Provider:  University of Chicago / Coursera
  • Duration: 7 weeks

5. Graduate Econometrics

  • Course Provider:  Autonomous University of Barcelona
  • Duration: Self Paced
  • Background needed:  Introductory course, no experience required.

6. Full Course in Econometrics

  • Course Provider:  University of Oregon / Learners TV
  • Duration:  Open
  • Background needed: Introductory course, no experience required.

7. Mathematical Methods for Quantitative Finance

  • Course Provider: University of Washington / Coursera
  • Duration: 8 weeks
  • Background needed: Entry-level college calculus courses, including an introduction to multivariable differential calculus.

8. Discrete Choice Methods with Simulation

  • Course Provider: Berkeley
  • Duration: 12 weeks
  • Background needed: Knowledge of statistical methods and software such as MATLAB.

9. Introductory Econometrics

  • Course Provider: Queen's University, Ontario
  • Duration: Self Paced
  • Background needed: Completed an introduction to statistics and a course on differential and integral calculus.

10. Introduction to Econometrics theory (a paid course, but fairly cheap - currently €83 for the whole course)

  • Course Provider:  Udemy
  • Duration: Self Paced
  • Background needed: Introductory course, no experience required.

If you want to learn more about econometrics, try our Introduction to Econometrics, and for all the latest news, career opportunities, and conferences in economics, check out our website. Good luck with your online learning!