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r Training Course

What will I learn?

Unlock the power of R with our comprehensive R Training Course (Notlolla matla a R ka Koetliso ea rona e felletseng ea R), e etselitsoeng litsebi tsa Bohlale ba Khoebo tse batlang ho ntlafatsa tsebo ea bona ea tlhahlobo ea data. Dive into Exploratory Data Analysis to identify trends (Ikenyetse ho hlahlobo ea Exploratory Data Analysis ho fumana mekhoa), master data visualization with ggplot2 (ba tsebe visualization ea data ka ggplot2), and create insightful reports (hape u thehe litlaleho tse nang le leseli). Learn advanced techniques for efficient data handling and automation (Ithute mekhoa e tsoetseng pele ea ho sebetsana le data le boiketsetso ka nepo), and perform statistical analysis to calculate key metrics (hape u etse tlhahlobo ea lipalo-palo ho bala metric tsa bohlokoa). This course offers practical, high-quality content to elevate your BI expertise and drive data-driven decisions (Thupelo ena e fana ka litaba tse sebetsang le tsa boleng bo holimo ho phahamisa boiphihlelo ba hau ba BI le ho khanna liqeto tse thehiloeng ho data).

Apoia's Unique Features

Accessible online course with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Learn at your own pace, no internet required

Develop skills

Enhance your practical skills as listed below

Master EDA: Uncover trends and patterns using R for insightful analysis (Tseba EDA: Sibolla mekhoa le lipaterone u sebelisa R bakeng sa tlhahlobo e nang le leseli).

Create Visuals: Design impactful charts with ggplot2 for data storytelling (Theha Litšoantšo: Rala lichate tse nang le tšusumetso ka ggplot2 bakeng sa ho pheta lipale tsa data).

Write Reports: Craft clear, concise analysis reports with embedded R code (Ngola Litlaleho: Theha litlaleho tse hlakileng, tse khutšoane tsa tlhahlobo ka khoutu ea R e kentsoeng).

Automate Tasks: Streamline reporting processes with advanced R techniques (Iketsetse Mesebetsi: Nolofatsa lits'ebetso tsa tlaleho ka mekhoa e tsoetseng pele ea R).

Analyze Data: Perform statistical analysis to calculate key business metrics (Hlahloba Data: Etsa tlhahlobo ea lipalo-palo ho bala metrics tsa bohlokoa tsa khoebo).

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can adjust the chapters and workload.

  • Choose your starting chapter
  • Add or remove chapters
  • Alter the total course workload

Examples of chapters you can include

You'll be able to generate additional chapters similar to the examples below

This is a free course focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your career.