Sovelto Hybrid: Programming in R for Data Science

Data scientist is the most sought-after job title of the moment, and one that headhunters fight over. Come and learn data science and the R language in the same package!

Difficulty
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0days
Duration
2300,00 
+ VAT
Time:
Location:
Contact sales to ask for Sovelto Access price: +358 20 7776 670 or myyntipalvelu@sovelto.fi
Register before 27.08.2018
Spoken language: Finnish

We are sorry, but the course is already full, please try with another date or location.

Or contact sales: +358 20 7776 670 or myyntipalvelu@sovelto.fi

About the Programming in R for Data Science learning program

Come and learn the ins and outs of the R language. The learning program includes three online courses, supported by trainer-led webinars. This advanced program requires a capacity for analytical thinking. The first online course takes you through the Data Science concepts and the basics of statistical functions using Excel. The second course teaches you the basics of the R language, while the third course shows how to apply the R language to data analysis.

You will have access to the Sovelto Space collaborative learning platform, which enables experiences and questions to be shared, and students to coach each other. The platform is managed by an experienced trainer. This means that you can enjoy both the freedom of self-study and the support of a learning community!

The learning program is suitable for data analysts and IT professionals who want to learn how to use the R language to analyze data.

Schedule:

  1. Kickoff
  • Webinar 27 Aug, 15:00–16:30
  1. Introduction to Data Science
  • Self-study, 2 weeks
  • Webinar 10 Sep, 15:00–16:30
  1. Introduction to R for Data Science
  • Self-study, 4 weeks
  • Webinar 8 Oct, 15:00–16:30
  1. Programming with R for Data Science
  • Self-study, 4 weeks
  • Webinar 5 Nov, 15:00–16:30

Data with Power BI

 

Hybrid learning

In hybrid learning, you take online courses and have the support of online webinars held by an expert. After successfully completing the online course, you will receive a Microsoft certificate of completion. The course starts with a kickoff webinar that presents the outline of the program and the study methods, and gets you started with your studies. The program includes online sessions in which an expert teaches and illustrates course topics, which help you progress in your studies. The online courses include modules that are appropriately sized for completion in everyday life or alongside work. The modules include instructional videos, tests, links to additional materials, multiple-choice quizzes, and similar assignments, to ensure learning success.

The studies require you to be systematic and to work independently. You should, therefore, schedule the online sessions and the time needed for self-study in your calendar, to ensure that your studies progress on time.

What can you expect to learn?

Introduction to Data Science

  • Basic data exploration and visualization techniques in Microsoft Excel
  • Foundational statistics that can be used to analyze data

Introduction to R for Data Science

  • Introductory R language fundamentals and basic syntax
  • What R is and how it’s used to perform data analysis
  • Become familiar with the major R data structures
  • Create your own visualizations using R

Programming with R for Data Science

  • Explore R language fundamentals, including basic syntax, variables, and types
  • How to create functions and use control flow.
  • Details on reading and writing data in R
  • Work with data in R
  • Create and customize visualizations using ggplot2
  • Perform predictive analytics using R

 

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Places left:
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2300,00  + VAT

Responsible person


Pekka Korhonen

Pekka Korhonen

  • pekka.korhonen@sovelto.fi

SQL Server Master, Master Certified (MCSM: Data Platform), MCSE: Data Platform, MCSE: Business Intelligence, MCSA, MCTS, MCT, MCITP.

Instructor


Pekka Korhonen

Pekka Korhonen

  • pekka.korhonen@sovelto.fi

SQL Server Master, Master Certified (MCSM: Data Platform), MCSE: Data Platform, MCSE: Business Intelligence, MCSA, MCTS, MCT, MCITP.