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Statistical Analysis Course
Improve your statistical skills with our Statistical Analysis Course (Zambian Edition), made for professionals who want to be good at making decisions using data. Learn how to divide customers into groups using clustering methods, find unusual things using statistical and machine learning ways, and look at data in different ways. Become good at descriptive statistics, data cleaning, and time series analysis. Change raw data into useful information and suggestions, making you better at explaining what you find. Join now to make your career in statistics better.
- Become an expert in clustering methods to group customers well.
- Find unusual things using statistical and machine learning ways.
- Look at and explore data to find hidden things.
- Create useful information and explain what you find clearly.
- Clean and get data ready for correct statistical analysis.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your statistical skills with our Statistical Analysis Course (Zambian Edition), made for professionals who want to be good at making decisions using data. Learn how to divide customers into groups using clustering methods, find unusual things using statistical and machine learning ways, and look at data in different ways. Become good at descriptive statistics, data cleaning, and time series analysis. Change raw data into useful information and suggestions, making you better at explaining what you find. Join now to make your career in statistics better.
Elevify advantages
Develop skills
- Become an expert in clustering methods to group customers well.
- Find unusual things using statistical and machine learning ways.
- Look at and explore data to find hidden things.
- Create useful information and explain what you find clearly.
- Clean and get data ready for correct statistical analysis.
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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