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Specialist in Applied Statistics Course
Sharpen your statistical skills with our Specialist in Applied Statistics Course. Get deep inside how to understand and prepare data, becoming a master at exploring data, dealing with missing data, and cleaning it up properly. Improve your data visualization skills by using scatter plots, histograms, and bar charts like a pro. Get good at inferential statistics, including testing hypotheses, understanding p-values, and using ANOVA. Learn about descriptive statistics and regression analysis, and how to share what you find in a clear way through well-organized reports and suggestions you can actually use.
- Master data cleaning: Make sure your data is correct by handling missing values well.
- Create compelling visuals: Design scatter plots, histograms, and bar charts that tell a story.
- Conduct hypothesis tests: Analyze data using T-tests and ANOVA properly.
- Perform regression analysis: Understand what the outputs of multiple and linear regression are telling you.
- Communicate insights: Write clear reports and give recommendations that people can actually use to make things better.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Sharpen your statistical skills with our Specialist in Applied Statistics Course. Get deep inside how to understand and prepare data, becoming a master at exploring data, dealing with missing data, and cleaning it up properly. Improve your data visualization skills by using scatter plots, histograms, and bar charts like a pro. Get good at inferential statistics, including testing hypotheses, understanding p-values, and using ANOVA. Learn about descriptive statistics and regression analysis, and how to share what you find in a clear way through well-organized reports and suggestions you can actually use.
Elevify advantages
Develop skills
- Master data cleaning: Make sure your data is correct by handling missing values well.
- Create compelling visuals: Design scatter plots, histograms, and bar charts that tell a story.
- Conduct hypothesis tests: Analyze data using T-tests and ANOVA properly.
- Perform regression analysis: Understand what the outputs of multiple and linear regression are telling you.
- Communicate insights: Write clear reports and give recommendations that people can actually use to make things 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 workloadWhat our students say
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