Introduction to R

Data visualisation, manipulation and analysis

Kestus: 32 academic hours

Vana-Lõuna 39/1

The world is increasingly data-driven. R is the avant garde of data science. You learn some of the most modern techniques in data science and will be able to create stunning graphs with ease, develop automatic reports and get insights from your data.

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.

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.

 

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)

 

Prerequisites to the course (recommended):

The course does not have any prerequisites.

 

Training Principles:

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

The prerequisite for issuing the certificate is full participation in training.

Length: 32 academic hours

NB! Koolitust on võimalik tellida ka eesti keeles.

 

Continuing Education Curriculum Group: 0613 Tarkvara ja rakenduste arenduse ning analüüsi õppekavarühm

 

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.

 

You can participate in the training also with the Unemployment Insurance Fund training card.

See you at the training!

KOOLITAJA

Indrek Seppo

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).
AJAKAVA

09:15 - 09:30

09:15 - 09:30

Gathering

09:30 - 11:00

09:30 - 11:00

1. Introduction to R and Rstudio

11:00 - 11:15

11:00 - 11:15

Coffee break

11:15 - 12:45

11:15 - 12:45

2. The basics of using R

12:45 - 13:30

12:45 - 13:30

Lunch

13:30 - 15:00

13:30 - 15:00

v3. Initial overview of dataset, data types

15:00 - 15:15

15:00 - 15:15

Coffee break

15:15 - 16:45

15:15 - 16:45

4. Additional packages in R

09:15 - 09:30

09:15 - 09:30

Gathering

09:30 - 11:00

09:30 - 11:00

1. Recap and Dates with lubridate

11:00 - 11:15

11:00 - 11:15

Coffee break

11:15 - 12:45

11:15 - 12:45

2. Getting data in part 2; Filtering data

12:45 - 13:30

12:45 - 13:30

Lunch

13:30 - 15:00

13:30 - 15:00

3. Visualizing data - Grammar of Graphics

15:00 - 15:15

15:00 - 15:15

Coffee break

15:15 - 16:45

15:15 - 16:45

4. Grammar of graphics

09:15 - 09:30

09:15 - 09:30

Gathering

09:30 - 11:00

09:30 - 11:00

1. Grammar of graphics continues

11:00 - 11:15

11:00 - 11:15

Coffee break

11:15 - 12:45

11:15 - 12:45

2. Grammar of graphics continues

12:45 - 13:30

12:45 - 13:30

Lunch

13:30 - 15:00

13:30 - 15:00

3. Lists and functions

15:00 - 15:15

15:00 - 15:15

Coffee break

15:15 - 16:45

15:15 - 16:45

4. Introduction to dplyr – grammar of data manipulation

09:15 - 09:30

09:15 - 09:30

Gathering

09:30 - 11:00

09:30 - 11:00

1. Recap and rmarkdown – writing automatic reports in R

11:00 - 11:15

11:00 - 11:15

Coffee break

11:15 - 12:45

11:15 - 12:45

2. Grammar of data manipulation continues

12:45 - 13:30

12:45 - 13:30

Lunch

13:30 - 15:00

13:30 - 15:00

3. Grammar of data manipulation continues

15:00 - 15:15

15:00 - 15:15

Coffee break

15:15 - 16:45

15:15 - 16:45

4. Putting it all together and additional materials

REGISTREERIMINE
26.05., 02.06., 09.06., 16.06.2022 Introduction to R
Hind:
1199 €
1 438,80 € km-ga
Osalejate arv:
29.09., 06.10., 13.10., 20.10.2022 Introduction to R
Hind:
1199 €
1 438,80 € km-ga
Osalejate arv:

Lisainfo:
|
6181727 | [email protected]

Lisainfo
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