Statistics Course
What will I learn?
Dis lesson gwine open you eye to how statistics can helep chemistry people, all proper. We gwine dig deep inside Exploratory Data Analysis so you kin be number one in lookin' at data and findin' pattern dem. We gwine mek you good in Correlation and Regression Analysis so you kin understand all dat hard chemistry data. You gwine learn all di important Data Preparation way dem, like how to fix number weh outta line and how to deal wit number weh missin'. You gwine sabi use computer program dem like Excel, Python, and R. You gwine sabi talk 'bout weh you find out in good report and wit picture dem weh talk clear. Come join now so you kin be top man in dis number business.
Develop skills
Enhance your practical skills in the areas listed below.
Be number one in makin' picture outta data: Draw good graph dem for chemistry data business.
Look at how thing dem tie to each other: Find out how thing dem connect in chemistry data, all correct.
Clean data good, good: Fix number weh outta line and number weh missin' in chemistry research.
Talk 'bout weh you find out: Write good report weh talk clear 'bout statistics for chemistry.
Use computer program dem: Use Excel, Python, and R for chemistry statistics.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.