• Otsi Äripäevast

Introduction to R

Data visualisation, manipulation and analysis

Introduction to R

Kestus:

32 academic hours

Toimumiskoht:

IT Koolitus

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!

Koolitajad

  • Seppo 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).

    Seppo 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

Day 1
Day 2
Day 3
Day 4

09:15 – 09:30

Gathering

The training takes place at Vana-Lõuna 39/1, Tallinn, IT Training premises. You can park in the Europark car park at Veerenni 36, EP63. Parking is free by registering at the IT Training on the first floor.

09:30 – 11:00

1. Introduction to R and Rstudio

  • Brief overview of R and Rstudio
  • Managing projects in RStudio
  • The basic of using R

Methods used: hands-on training

11:00 – 11:15

Coffee break

11:15 – 12:45

2. The basics of using R

  • Data structes (vectors and data frames)
  • Functions

Methods used: hands-on training

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)

Methods used: hands-on training

15:00 – 15:15

Coffee break

15:15 – 16:45

4. Additional packages in R

  • Managing additional packages in R

Methods used: hands-on training

Introduction to R

Data visualisation, manipulation and analysis

Introduction to R

Kestus:

32 academic hours

Toimumiskoht:

IT Koolitus

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!

Koolitajad

  • Seppo 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).

    Seppo 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

Day 1
Day 2
Day 3
Day 4

09:15 – 09:30

Gathering

The training takes place at Vana-Lõuna 39/1, Tallinn, IT Training premises. You can park in the Europark car park at Veerenni 36, EP63. Parking is free by registering at the IT Training on the first floor.

09:30 – 11:00

1. Introduction to R and Rstudio

  • Brief overview of R and Rstudio
  • Managing projects in RStudio
  • The basic of using R

Methods used: hands-on training

11:00 – 11:15

Coffee break

11:15 – 12:45

2. The basics of using R

  • Data structes (vectors and data frames)
  • Functions

Methods used: hands-on training

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)

Methods used: hands-on training

15:00 – 15:15

Coffee break

15:15 – 16:45

4. Additional packages in R

  • Managing additional packages in R

Methods used: hands-on training

Registreerimine

Hind
Osalejaid

28.09., 05.10., 12.10., 19.10.2022 Introduction to R

1199,00 €

1438,80 € km-ga

0

09.11., 16.11., 23.11., 30.11.2022 Introduction to R

1199,00 €

1438,80 € km-ga

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  • Registreeri Töötukassa kaudu

28.09., 05.10., 12.10., 19.10.2022 Introduction to R

OsalejaidHind
0

1199,00 €

1438,80 € km-ga

09.11., 16.11., 23.11., 30.11.2022 Introduction to R

OsalejaidHind
0

1199,00 €

1438,80 € km-ga

  • Registreeri Töötukassa kaudu

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Aadress

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IT Koolitus Vana-Lõuna 39/1, Tallinn 6181727 [email protected]

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