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.
Introduction to R
Data visualisation, manipulation and analysis
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
09:30 – 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
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 | 0 |
- 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
Lisainfo
Osalemise tingimused
Registreerudes e-poe, e-kirja või telefoni teel, saadame Teile arve ja täpsema info osalemise kohta.
Üksteist päeva enne koolitust saadame Teile e-kirjaga meenutuse osalemise infoga.
Koolitusel osalemine on nimeline, kuid saate osalejat tasuta muuta kuni koolituse alguseni.
Koolituse eest tasumine toimub arvel viidatud arveldusarvele. Arve saadetakse maksja aadressile e-postiga. Arve tuleb tasuda enne koolituse algust arvel märgitud maksetähtajaks.
Kui Te ei saa mingil põhjusel osaleda, palun andke sellest kindlasti teada e-posti aadressil [email protected] või telefonil 618 1727 . Kui teatate koolitusel mitteosalemisest kuni 10 tööpäeva enne algust, pakume mõnd muud samaväärset koolitust või tagastame 100% tasutud koolituse maksumusest. Mitteosalemisest vähemalt 5 tööpäeva varem teatades, tagastame 50%. Muul juhul kuulub arve tasumisele. Raha tagastame ette antud summas juhul, kui pole tehtud koolituse korraldamisega seotud kulutusi (ostetud õppematerjale jms). Koolitusele mitteilmumisel, sellest mitteteatamisel või koolituse poolelijätmisel õppetasu ei tagastata.
IT Koolitusel on õigus koolitusgrupi mitte täitumisel koolituse toimumine edasi lükata või koolitus ära jätta. Koolitusele registreerunuid teavitatakse kursuse edasi lükkumisest või ära jätmisest telefoni või e-posti teel. Koolituse ära jäämisel korraldajatest tulenevatel põhjustel makstakse õppetasu tagasi. .
IT Koolitus on Eesti Töötukassa koolituskaardi koostööpartner. Tutvuge koolituskaardi infoga SIIN.
Täpsema info saamiseks võtke meiega ühendust telefonil 618 1727 või [email protected].
Asukoht ja kontaktid
Aadress
Vana-Lõuna 39/1, TallinnIT Koolitus | Vana-Lõuna 39/1, Tallinn | 6181727 | [email protected]