We didn’t find any courses in St. Louis offering R Programming training, but here are 3 schools that offer live online courses you can take from anywhere, including St. Louis.
For in-person R Programming courses, please check these locations:
NYC Data Science Academy provides data science and data engineering training with comprehensive curriculums in Python, Hadoop, Spark, R, and many more. NYC Data Science Academy offers immersive courses, bootcamps, and job training both online and in-person.
This 35-hour program offers a comprehensive introduction to R. This course teaches the skills needed to process, manipulate, and analyze data, create visualizations, and generate reports. The program begins with an overview of programming with R. It then moves on to the treatment of basic data elements, the use of “dplyr” to manipulate data, and how to create basic and advanced visualizations such as violin and mosaic plots, and time-series diagrams.
CodeClan is Scotland’s most prominent tech education school. By offering courses in software development and data analysis, CodeClan helps students prepare for a career in the digital economy.
This course introduces beginners to working with data. Students develop skills in data cleaning and manipulation, working with strings, and using R.
Short for IT Training Academy, ITTA offers Swiss students French-language training in digital media, programming, project management, office IT, and other digital and professional skills. Students can study in-person in Geneva or Lausanne, or live online.
Students in this class learn to program in R and to employ the language for effective data analysis. To this end, they learn to work with vectorized operations, matrices, data frames, Qplot, and GGPlot2 to produce advanced visualizations.
Students here learn to create the most frequently-requested charts in 2D or 3D using R’s statistical computing capabilities. Note that no mathematical concepts are explained during the course; a companion theory class is available, however.
This class teaches students to use R’s fundamental data mining tools, be they supervised or automated through machine learning. At course’s completion, students will be able to employ big data to predict market trends and to establish sales targets.
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Upskill or reskill your workforce with our industry-leading corporate and onsite R Programming training programs. Conduct the training onsite at your location or live online from anywhere. You can also purchase vouchers for our public enrollment R Programming courses.
See the tuition comparison below to compare R Programming courses by cost per training hour.* For private tutoring or corporate training (onsite or virtual), contact us at firstname.lastname@example.org for a quote.
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Disclaimer & Notes: Hourly rates are estimates only. Courses are not available on an hourly basis. Several other factors that contribute to pricing (such as job support and free retakes) are not factored into pricing per hour. 1 day is estimated to have 6.5 hours of training; 1 week is estimated at 35 hours; and 1 month is estimated at 150 hours. Actual hours will vary by school. Course pricing is subject to change without notice, certain discounts may not be included, and pricing may vary by location.
R Programming is one of the core skills needed to secure one of these positions. See the career pages for more information on required skills, tips for landing a job, typical day-to-day work, and where to find job postings.
Salary in St. Louis
$112,000 / year6.31% less than the U.S. average
Machine Learning Engineers create computer programs that enable machines to take actions without being specifically directed to perform those tasks. This job combines computer programming and data science to enable systems to learn and improve from experience automatically by using machine learning, a subset of artificial intelligence.Learn about becoming a Machine Learning Engineer
Salary in St. Louis
$116,000 / year11.38% less than the U.S. average
Data Engineers create the infrastructure for data and format data into a useful system which Data Scientists use to analyze large amounts of data. Data Engineers can specialize in pipelines, databases or platforms, warehouses or infrastructure, or be generalists.Learn about becoming a Data Engineer
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