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Statistics Course For Data Science
Get the power to use data well with our Statistics Training for Data Science Work, made special for people in Business Intelligence. Learn all about testing guesses, and get good at using p-values, t-tests, and ANOVA. Make your report-writing better by talking clear and giving advice that people can use. Look into regression analysis, including how well the model fits and using many different things in it. Make your data cleaning and getting ready skills better, and be very good at looking at sales data by dividing customers into groups and finding trends. Make your data pictures better by using good histograms, bar charts, and line graphs. Join now to make your data knowledge very strong!
- Get very good at testing guesses: Look at data using p-values, t-tests, and ANOVA.
- Make reports that are easy to understand: Talk about what you've learned clearly and carefully.
- Be great at regression: Use linear and multivariable models in a good way.
- Clean and get data ready: Make sure things are correct by changing and checking the data.
- Make data pictures: Create charts and graphs that have a big impact so people understand better.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get the power to use data well with our Statistics Training for Data Science Work, made special for people in Business Intelligence. Learn all about testing guesses, and get good at using p-values, t-tests, and ANOVA. Make your report-writing better by talking clear and giving advice that people can use. Look into regression analysis, including how well the model fits and using many different things in it. Make your data cleaning and getting ready skills better, and be very good at looking at sales data by dividing customers into groups and finding trends. Make your data pictures better by using good histograms, bar charts, and line graphs. Join now to make your data knowledge very strong!
Elevify advantages
Develop skills
- Get very good at testing guesses: Look at data using p-values, t-tests, and ANOVA.
- Make reports that are easy to understand: Talk about what you've learned clearly and carefully.
- Be great at regression: Use linear and multivariable models in a good way.
- Clean and get data ready: Make sure things are correct by changing and checking the data.
- Make data pictures: Create charts and graphs that have a big impact so people understand better.
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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