Data Science for Professionals is simply the best way to gain a in-depth and practical skill set in data science. Through a combination of theory and hands-on practice, course participants will gain a solid grasp of how to manage, manipulate, and visualize data in R - the world's most popular data science language.
Who should take this course?
Data Analysis And Visualization In R at Simpliv is for professionals who are tired of using spreadsheets for analysis and have a serious interest in learning how to use code to improve the quality and efficiency of their work. At the end of this course, participants will have a developed a solid foundation of the fundamentals of the R language. Participants will have also gained a perspective on the modern data science landscape and how they can use R not only to better analyze data, but also to better manage projects, create interactive presentations, and collaborate with other teams. Whether it's spreadsheets, text documents, or slides, anyone who analyzes, reports, or presents data will benefit from a knowledge of data science programming.
Get more detailsVisit official programme website
- R Essentials - Data Objects
- R Essentials - Functions and Loops
- R Essentials - Putting it all Together!
- Data Cymnastics
- Data Visualization
- 1 days
Start dates & application deadlines
DisciplinesComputer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 256 other Short Courses in Data Science & Big Data in United States
We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- No prior coding knowledge required
International10 USD/fullTuition FeeBased on the tuition of 10 USD for the full programme during 1 days.
National10 USD/fullTuition FeeBased on the tuition of 10 USD for the full programme during 1 days.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.