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Statistics Course For Data Science
Open your eye to how data powerful with our Statistics Lesson for Data Science Work. This lesson tailor for people who want use data for business. You go learn how to test ideas, how to use p-values, t-tests, and ANOVA. You go get better at making report so you can talk clear and make people understand the data. We go look at regression, how to fit model, and how to use many variables. You go learn how to clean and prepare data good, and how to use data to sell more by understanding customer and seeing what people like. You go learn how to make good pictures and graphs with histogram, bar chart and line graph. Join us now so you can become data expert!
- Learn how to test ideas well: Use p-values, t-tests, and ANOVA to check your data.
- Make report clear: Talk about the data so people can understand it easy.
- Be good at regression: Use linear and multivariable model to understand your data.
- Clean and prepare data good: Make sure your data correct by changing and checking it.
- Show data with picture: Make good chart and graph so people can understand the data better.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open your eye to how data powerful with our Statistics Lesson for Data Science Work. This lesson tailor for people who want use data for business. You go learn how to test ideas, how to use p-values, t-tests, and ANOVA. You go get better at making report so you can talk clear and make people understand the data. We go look at regression, how to fit model, and how to use many variables. You go learn how to clean and prepare data good, and how to use data to sell more by understanding customer and seeing what people like. You go learn how to make good pictures and graphs with histogram, bar chart and line graph. Join us now so you can become data expert!
Elevify advantages
Develop skills
- Learn how to test ideas well: Use p-values, t-tests, and ANOVA to check your data.
- Make report clear: Talk about the data so people can understand it easy.
- Be good at regression: Use linear and multivariable model to understand your data.
- Clean and prepare data good: Make sure your data correct by changing and checking it.
- Show data with picture: Make good chart and graph so people can understand the data better.
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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