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.
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:
- hot drinks with cookies;
- fresh fruits.
IT training is a cooperation partner of the Estonian Unemployment Insurance Fund's training card.
We also recommend that you get acquainted with the in-service training grants offered by the Unemployment Insurance Fund to employers: the training allowance for employers and the reimbursement of the employee's training expenses to the employer.
See you at training!
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."
Ajakava
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.
- Brief overview of R and Rstudio
- Managing projects in RStudio
- The basic of using R
Methods used: hands-on training
- Data structes (vectors and data frames)
- Functions
Methods used: hands-on training
- Initial overview of dataset
- data types
- getting data in and out of R (part 1)
Methods used: hands-on training
- Managing additional packages in R
Methods used: hands-on training
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.
- Quick recap of what we learned last time
- Converting any bad dates to good ones with lubridate
Methods used: hands-on training
- Reading data from various formats
- Interfaces to online databases
- Filtering data
Methods used: hands-on training
- Introduction to grammar of graphics
Methods used: hands-on training
- Geometrics, aesthetics, grouping variables and facets
Methods used: hands-on training
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.
- Additional geometrics
- positions
- scales
Methods used: hands-on training
- Color scales, manual scales
- Legends
- Themes
Methods used: hands-on training
- Another data structure - list
- Writing functions in R
- Factor variables in R
Methods used: hands-on training
- Piping in R
- Main verbs in grammar of data manipulation: o filter(), select(), group_by(), summarize(), mutate(), arrange()
Methods used: hands-on training
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.
- Recap of grammar of graphics
- Introduction to RMarkdown
Methods used: hands-on training
- Data in long and wide format, converting between formats (tidyr)
Methods used: hands-on training
- Additional training on grammar of data manipulation
Methods used: hands-on training
- Grammar of graphics, grammar of data manipulation and rmarkdown
- additional materials
Methods used: hands-on training
Koolitaja:
Indrek SeppoLisainfo
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.
IT Koolitus on Eesti Töötukassa koolituskaardi koostööpartner. Tutvuge koolituskaardi infoga SIIN.
Täpsema info saamiseks võtke meiega ühendust telefonil 618 1727 või [email protected].
Tühistamistingimused
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.
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