Introduction to R

The main purpose of this training is to allow the trainee to be able to independently work with R.

This is a heavily hands-on training featuring topics like:

•        grammar of graphics,
•        grammar of data manipulation
•        Rmarkdown for reports generation.

Target audience:
The course is targeted to people who are ready to move past Excel in their data analysis. The course does not assume any previous knowledge of programming/scripting. The course does not have any prerequisites.

R is used widely in the data science world and this means pretty much every sector by now – be it IT, fintech, medcine or government sector.

• It will help you to automate data-driven reports.
• It helps you to easily understand your data by visualizing it and communicate the results using publication-ready graphs.
• It helps you to apply the most modern data analytics/machine learning concepts on your data.

Program:

• Day 1
  • 09:30 – 11:00 Introduction to R and Rstudio
    • Brief overview of R and Rstudio
    • Managing projects in RStudio
    • The basic of using R
  • 11:00 – 11:15 Coffee break
  • 11:15 – 12:45 The basics of using R
    • Data structes (vectors and data frames)
    • Functions
  • 12:45 – 13:30 Lunch
  • 13:30 – 15:00 v3. Initial overview of dataset, data types
    • Initial overview of dataset
    • data types
    • getting data in and out of R (part 1)
  • 15:00 – 15:15 Coffee break
  • 15:15 – 16:45 Additional packages in R
    • Managing additional packages in R
• Day 2
  • 09:30 – 11:00 1. Recap and Dates with lubridate
    • Quick recap of what we learned last time
    • Converting any bad dates to good ones with lubridate
  • 11:00 – 11:15 Coffee break
  • 11:15 – 12:45 Getting data in part 2; Filtering data
    • Reading data from various formats
    • Interfaces to online databases
    • Filtering data
  • 12:45 – 13:30 Lunch
  • 13:30 – 15:00 Visualizing data – Grammar of Graphics
    • Introduction to grammar of graphics
  • 15:00 – 15:15 Coffee break
  • 15:15 – 16:45 Grammar of graphics
    • Geometrics, aesthetics, grouping variables and facets
• Day 3
  • 09:30 – 11:00 Grammar of graphics continues
    • Additional geometrics
    • positions
    • scales
  • 11:00 – 11:15 Coffee break
  • 11:15 – 12:45 Grammar of graphics continues
    • Color scales, manual scales
    • Legends
    • themes
  • 12:45 – 13:30 Lunch
  • 13:30 – 15:00 Lists and functions
    • Another data structure – list
    • Writing functions in R
    • Factor variables in R
  • 15:00 – 15:15 Coffee break
  • 15:15 – 16:45 Introduction to dplyr – grammar of data manipulation
    • Piping in R
    • Main verbs in grammar of data manipulation: filter(), select(), group_by(), summarize(), mutate(), arrange()
• Day 4
  • 09:30 – 11:00 Recap and rmarkdown – writing automatic reports in R
    • Recap of grammar of graphics
    • Introduction to RMarkdown
  • 11:00 – 11:15 Coffee break
  • 11:15 – 12:45 Grammar of data manipulation continues
    • Data in long and wide format, converting between formats (tidyr)
  • 12:45 – 13:30 Lunch
  • 13:30 – 15:00 Grammar of data manipulation continues
    • Additional training on grammar of data manipulation
  • 15:00 – 15:15 Coffee break
  • 15:15 – 16:45 Putting it all together and additional materials
    • Grammar of graphics, grammar of data manipulation and rmarkdown
    • additional materials

After completing this course, students will be able to:

• create visualisations using grammar of graphic language
• create reports using rmarkdown
• process of data elegantly using grammar of data manipulation (dplyr and friends)

The course will be in hands-on format where topics are first introduced by the lecturer, then solved individually.

Trainer:
Indrek Seppo is probably the most experienced R trainer in Estonia having given numerous R courses at the universities and adult trainings in Estonia and abroad. His R courses at University of Tartu have been evaluated to be the best courses in the whole faculty by student feedback.
Indrek Seppo has been recently helping to build the e-Estonia at e-Residency, his background includes work in both academic settings (University of Tartu), applied research (Estonian Center of Applied Research Centar) and business environment (counter-drone startup Marduk Technologies).

The training price also includes:

• study materials;
• a trainer’s consultation on the topics learned, by e-mail after the training;
• certificate.

As an added value, we offer:

• free parking;
• lunch;
• hot drinks with cookies;
• fresh fruits.

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