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Introduction to Statistics Course
Open your eyes to the power of statistics for chemistry work! This Introduction to Statistics Course na specially made for professionals like you wey wan sharpen their skills for analysis. Dive deep into correlation and regression analysis using both Excel and R, become master for interpreting data, and sabi how to show your findings in a way wey clear gan. Learn all the important statistical concepts, descriptive statistics, and how to explore data so you fit see patterns and things wey no dey correct. Make your report writing skils top-notch with clear and sharp communication wey go make your decision-making for chemical work correct.
- Master correlation analysis: Calculate am and understand the results well-well with Excel and R.
- Conduct data interpretation: Summarize wetin you find and write short and correct reports.
- Perform exploratory data analysis: See patterns for the data and show am with graphs and charts.
- Apply descriptive statistics: Understand how to measure central tendency and how the data spread out.
- Execute regression analysis: Learn linear regression and understand wetin the R output dey tell you.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open your eyes to the power of statistics for chemistry work! This Introduction to Statistics Course na specially made for professionals like you wey wan sharpen their skills for analysis. Dive deep into correlation and regression analysis using both Excel and R, become master for interpreting data, and sabi how to show your findings in a way wey clear gan. Learn all the important statistical concepts, descriptive statistics, and how to explore data so you fit see patterns and things wey no dey correct. Make your report writing skils top-notch with clear and sharp communication wey go make your decision-making for chemical work correct.
Elevify advantages
Develop skills
- Master correlation analysis: Calculate am and understand the results well-well with Excel and R.
- Conduct data interpretation: Summarize wetin you find and write short and correct reports.
- Perform exploratory data analysis: See patterns for the data and show am with graphs and charts.
- Apply descriptive statistics: Understand how to measure central tendency and how the data spread out.
- Execute regression analysis: Learn linear regression and understand wetin the R output dey tell you.
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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