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Statistics Course For Data Science
Get di power to use data well with our Statistics Course for Data Science, wey tailor am special for Business Intelligence people dem. Learn how to test hypothesis well well, sabi p-values, t-tests, and ANOVA like say tomorrow no dey. Make your report writing strong by talking clear and giving advice wey people fit use. Check regression analysis deep, learn how model fit and how to use plenty variables. Fix your data cleaning and preparation skills, and shine for sales data analysis by knowing your customers and seeing trends. Make your data pictures fine with correct histograms, bar charts, and line graphs. Join now so you go sabi data pass!
- Sabi hypothesis testing well well: Analyze data with p-values, t-tests, and ANOVA like expert.
- Write report wey clear: Talk about the things wey you see inside data with sense and clarity.
- Do regression correct: Use linear and multivariable models well well.
- Clean and prepare data: Make sure data dey correct by changing am and checking am.
- Draw data pictures: Make fine charts and graphs wey go show people the correct meaning.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get di power to use data well with our Statistics Course for Data Science, wey tailor am special for Business Intelligence people dem. Learn how to test hypothesis well well, sabi p-values, t-tests, and ANOVA like say tomorrow no dey. Make your report writing strong by talking clear and giving advice wey people fit use. Check regression analysis deep, learn how model fit and how to use plenty variables. Fix your data cleaning and preparation skills, and shine for sales data analysis by knowing your customers and seeing trends. Make your data pictures fine with correct histograms, bar charts, and line graphs. Join now so you go sabi data pass!
Elevify advantages
Develop skills
- Sabi hypothesis testing well well: Analyze data with p-values, t-tests, and ANOVA like expert.
- Write report wey clear: Talk about the things wey you see inside data with sense and clarity.
- Do regression correct: Use linear and multivariable models well well.
- Clean and prepare data: Make sure data dey correct by changing am and checking am.
- Draw data pictures: Make fine charts and graphs wey go show people the correct meaning.
Suggested summary
Before starting, you can change the chapters and 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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