Learning Statitics…

Hi all!

In previous post I have presented a few MOOCS available in EDX; today I suggest other available courses in Coursera.

Coursera as EDX is another platform that brings high-quality content to the net. Anyone can access and audit their MOOCs, and in case you want to pursue a Diploma you can as well pay for it and get it (you’ll have to pass all the test, submit all the different task, etc.) They are awesome, and they are from very important universities as well.

In fact, there is little difference between both platforms, and many of the courses are the same. In Coursera you can find courses (specific topics), degrees (sum of courses that correspond to a predefined curriculum) and specialised courses (topic specific short courses).

Data Science John Hopkins

“This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.”

Set in 10 Courses, starting Nov 21st ending on Ap 3rd 2017.

Social Science Universiteit van Amsterdam (in English)

“This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.”

Set in 5 Courses. Nov 21st – Feb 27th 2017

Collect and analyse data, and communicate results. University of Maryland, College Park

“This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources..”

Set in 7 courses. From Nov 21st to Jan 2017

In case you need funding, you can contact with Coursera, they have a kind of scholarship system that may help you achieve your goals!








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