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, medicine or government sector.

The course helps You to:

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

Prerequisites to the course (recommended):

The course does not have any prerequisites.

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).

Training Principles:

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

The training price also includes:

  • hot drinks with cookies;
  • fresh fruits;
  • study materials;
  • a trainer's consultation on the topics learned, by e-mail after the training;
  • a certificate.

Participants who have completed the training will be issued a certificate. The prerequisite for issuing a certificate is full participation in training and achievement of learning outcomes. The acquisition of learning outcomes is assessed during the training through practical assignments.

For participants who have not achieved the learning outcomes, a certificate of attendance will be issued upon request.

Length: 32 academic hours

Continuing Education Curriculum Group: 0613 Software and Application Development and Analysis Curriculum Group

 

The course is led by Indrek Seppo.
 
Trainer introduction: 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).
 

Osalejate tagasiside koolitusele:

⭐⭐⭐⭐⭐

"Koolitus oli hästi ettevalmistatud, snäkid, kohvipausid, lõunapausi soe söök. Arvutid töötasid, toas oli soe ja kraanist tuli soe vesi. Koolitaja Indrek Seppo oli 120% väga hea! Mõistlikult oli rakendatud hands - on ja loengulist osa. Ainest sai ülevaate ja edasiõppimise võimalused on teada. Koolituse hinna ja kvaliteedi suhe oli paigas (sest ega see mingi odav koolitus polnud) Jäin väga rahule ja isegi kahju, et kursus lõppes, oleksin ühe korra veel kohale tulnud."

Koolitajad

  • 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).

    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

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. 

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 structures (vectors and data frames);
  • functions.

Methods used: hands-on training

12:45 – 13:30

Lunch

13:30 – 15:00

3. 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

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, medicine or government sector.

The course helps You to:

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

Prerequisites to the course (recommended):

The course does not have any prerequisites.

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).

Training Principles:

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

The training price also includes:

  • hot drinks with cookies;
  • fresh fruits;
  • study materials;
  • a trainer's consultation on the topics learned, by e-mail after the training;
  • a certificate.

Participants who have completed the training will be issued a certificate. The prerequisite for issuing a certificate is full participation in training and achievement of learning outcomes. The acquisition of learning outcomes is assessed during the training through practical assignments.

For participants who have not achieved the learning outcomes, a certificate of attendance will be issued upon request.

Length: 32 academic hours

Continuing Education Curriculum Group: 0613 Software and Application Development and Analysis Curriculum Group

 

The course is led by Indrek Seppo.
 
Trainer introduction: 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).
 

Osalejate tagasiside koolitusele:

⭐⭐⭐⭐⭐

"Koolitus oli hästi ettevalmistatud, snäkid, kohvipausid, lõunapausi soe söök. Arvutid töötasid, toas oli soe ja kraanist tuli soe vesi. Koolitaja Indrek Seppo oli 120% väga hea! Mõistlikult oli rakendatud hands - on ja loengulist osa. Ainest sai ülevaate ja edasiõppimise võimalused on teada. Koolituse hinna ja kvaliteedi suhe oli paigas (sest ega see mingi odav koolitus polnud) Jäin väga rahule ja isegi kahju, et kursus lõppes, oleksin ühe korra veel kohale tulnud."

Koolitajad

  • 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).

    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

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. 

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 structures (vectors and data frames);
  • functions.

Methods used: hands-on training

12:45 – 13:30

Lunch

13:30 – 15:00

3. 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

27.03., 03.04., 10.04., 17.04.2024 Introduction to R (eesti keeles)

1699,00 €

2072,78 € km-ga

0
  • Registreeri Töötukassa kaudu

27.03., 03.04., 10.04., 17.04.2024 Introduction to R (eesti keeles)

OsalejaidHind
0

1699,00 €

2072,78 € km-ga

  • Registreeri Töötukassa kaudu

Lisainfo

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Tühistamisinfo

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Asukoht ja kontaktid

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

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