Interactive R Courses: Free Finance and Data Science Courses
We’re happy to announce that as of today, DataCamp has added two new and free online interactive R courses to its curriculum: 'Data Analysis and Statistical Inference' and 'Introduction to Computational Finance'. These will be the biggest DataCamp R courses to date, so we’re very excited to find out what this will give.
We developed these courses in close collaboration with the teaching professors of the like-named Coursera courses. Hence, you can expect the same high-quality standards as from an academic course, but presented in DataCamp’s fun and learning-by-doing environment. Students that choose to enroll for the course on Coursera, will be directed to DataCamp to practice their skills and to complete assignments.
In 'Data Analysis and Statistical Inference', taught by Dr. Mine Çetinkaya-Rundel from Duke University, you learn how to make use of data in the face of uncertainty. Throughout the course, you’ll understand how to collect, analyze, and use data to make inferences and conclusions about real world phenomena.
'Introduction to Computational Finance' focuses on mathematical and statistical tools and techniques used in quantitative and computational finance. Professor Eric Zivot (University of Washington) designed the course, and with the help of real life examples introduces you to the do’s and don'ts when analyzing financial data, estimating statistical models, and constructing optimized portfolios.
To follow the pace of the two Coursera courses, the different chapters will be released on DataCamp periodically over the next few weeks. Once fully released, the R courses will remain available on the DataCamp platform as a stand-alone version. The courses require no formal background, but some basic mathematical skills will come in handy. A genuine interest in data analysis is a plus!
We hope to welcome you in our online classroom soon!
Any ideas on new courses that we should launch? Let us know via Facebook or Twitter!