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Statistical Inference Course
Become a master in the important things of statistical inference with our full course that is made for people who work with statistics. Go deep into doing statistical tests, including t-tests, and learn how to work out and understand confidence intervals. Make your decision-making skills better by learning about p-values and effect sizes. Become good at handling data, from cleaning it to dealing with outliers. Make your communication better by writing reports that are easy to understand and showing data in a good way. Join now to make your statistical skills better and get ahead in your job.
- Master t-tests: Do t-tests and understand them using statistical software.
- Analyze confidence: Work out and understand confidence intervals well.
- Decision-making: Make good decisions based on p-values and effect sizes.
- Report writing: Write statistical reports that are clear, short, and well-organized.
- Data preparation: Clean data, deal with missing values, and manage outliers in a good way.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Become a master in the important things of statistical inference with our full course that is made for people who work with statistics. Go deep into doing statistical tests, including t-tests, and learn how to work out and understand confidence intervals. Make your decision-making skills better by learning about p-values and effect sizes. Become good at handling data, from cleaning it to dealing with outliers. Make your communication better by writing reports that are easy to understand and showing data in a good way. Join now to make your statistical skills better and get ahead in your job.
Elevify advantages
Develop skills
- Master t-tests: Do t-tests and understand them using statistical software.
- Analyze confidence: Work out and understand confidence intervals well.
- Decision-making: Make good decisions based on p-values and effect sizes.
- Report writing: Write statistical reports that are clear, short, and well-organized.
- Data preparation: Clean data, deal with missing values, and manage outliers in a good way.
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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