r Data Science Course

What will I learn?
Become proficient in R for Business Intelligence through our R Data Science Course (Iba setsebi sa R bakeng sa Bohlale ba Khoebo ka Kooso ea R Data Science). Start with the basics of R programming (Qala ka metheo ea ho etsa mananeo a R), learn how to manipulate data with dplyr (ithute ho sebetsa ka data u sebelisa dplyr), and improve your analysis skills by visualizing data using ggplot2 (ntlafatsa tsebo ea hau ea ho sekaseka ka ho bona data u sebelisa ggplot2). Discover insights through effective data storytelling (fumana lintlha tsa bohlokoa ka ho pheta lipale tse sebetsang ka data), and use advanced methods in marketing and sales analysis (sebelisa mekhoa e tsoetseng pele ho sekaseka papatso le thekiso). Learn to spot trends with time series analysis (ithute ho lemoha mekhoa ka tlhahlobo ea nako le nako) and make convincing reports (etsa litlaleho tse susumetsang). Improve your BI knowledge with practical, top-notch, and clear learning (Ntlafatsa tsebo ea hau ea BI ka thuto e sebetsang, ea maemo a holimo le e hlakileng).
Elevify advantages
Develop skills
- Master R programming: Get good at R and RStudio for data analysis (Iba setsebi sa ho etsa mananeo a R: Ithute hantle R le RStudio bakeng sa tlhahlobo ea data).
- Visualize data: Make helpful plots with ggplot2 to show trends (Bona data: Etsa lichate tse thusang ka ggplot2 ho bontša mekhoa).
- Analyze marketing data: Look at marketing data and make marketing plans better (Sekaseka data ea papatso: Sheba data ea papatso 'me u ntlafatse merero ea papatso).
- Conduct time series analysis: Find trends and break down time series data (Etsa tlhahlobo ea nako le nako: Fumana mekhoa 'me u arole data ea nako le nako).
- Communicate insights: Write good reports and give advice based on data (Fana ka lintlha tsa bohlokoa: Ngola litlaleho tse ntle 'me u fane ka likeletso tse thehiloeng ho data).
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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