Data Analytics in R Certificate
R is now considered one of the most popular analytics tools in the world. In this certificate program you will develop the skill set necessary to perform key aspects of data science efficiently. The courses cover the application of core analytics concepts in the R programming environment to allow a scalable implementation.
You’ll learn techniques for manipulating and visualizing data, describing data through descriptive statistics, and clustering. You’ll extend these basic reporting approaches through classification and predictive analytics using traditional parametric models (regression and logistic regression) as well as machine learning techniques. In addition, you’ll develop linear, nonlinear, and Monte Carlo decision-making models that will allow you to make more informed decisions.
To be successful in this program, it is recommended that students have a background in predictive and prescriptive data analytics, specifically with optimization, modeling, and Monte Carlo simulations, in addition to a familiarity with programming syntax.
- 3-month duration, 5-8 hours of coursework per week
- Consists of three 3-week courses
- Learn more about eCornell's Data Analytics in R Certificate
About eCornell of Cornell University
As Cornell University’s online learning subsidiary, eCornell provides many of the world's leading organizations with online professional development in the areas of finance, healthcare, hospitality, human resources, leadership, management, and marketing.
eCornell's proven course development model and asynchronous instructor-led course delivery provide students with a flexible, engaging, and immediately applicable learning experience crafted by Cornell University faculty. eCornell has delivered online courses to over 90,000 students in more than 200 countries.
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