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Introduction to Statistics Course
Get to grips with statistics for use in chemistry with our Introductory Statistics Course, made for professionals who want to improve their skills to analyse things. Learn about correlation and regression analysis using Excel and R, become skilled at understanding data, and learn how to show your results clearly. Look at important statistical ideas, descriptive statistics, and exploratory data analysis to find patterns and anything unusual. Make your reporting skills better by communicating in a way that's clear and to the point, so you can make good decisions in the chemical industry.
- Get good at correlation analysis: Work out and understand the results in Excel and R.
- Do data interpretation: Summarise what you find and write short, clear reports.
- Carry out exploratory data analysis: Find patterns and show data in visual ways.
- Use descriptive statistics: Understand how to measure the middle and spread of data.
- Do regression analysis: Learn linear regression and understand the outputs in R.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get to grips with statistics for use in chemistry with our Introductory Statistics Course, made for professionals who want to improve their skills to analyse things. Learn about correlation and regression analysis using Excel and R, become skilled at understanding data, and learn how to show your results clearly. Look at important statistical ideas, descriptive statistics, and exploratory data analysis to find patterns and anything unusual. Make your reporting skills better by communicating in a way that's clear and to the point, so you can make good decisions in the chemical industry.
Elevify advantages
Develop skills
- Get good at correlation analysis: Work out and understand the results in Excel and R.
- Do data interpretation: Summarise what you find and write short, clear reports.
- Carry out exploratory data analysis: Find patterns and show data in visual ways.
- Use descriptive statistics: Understand how to measure the middle and spread of data.
- Do regression analysis: Learn linear regression and understand the outputs in R.
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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