Cheminformatics Course
What will I learn?
Open the door to using data well in chemistry with our Cheminformatics Course. Made for chemistry people, this course go deep into how to choose, train, and test machine learning models. You go learn how to collect, manage, and prepare data well, so the data be correct and reliable. You go learn how to talk about your scientific findings so people understand, and how to understand complex results. Improve your skills with practice, high-quality things we go teach you, all made for real work. Join now so you become proper expert for cheminformatics.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master model selection: Choose the best machine learning models for your chemistry data.
Enhance data integrity: Make sure your cheminformatics data be correct and reliable.
Transform data effectively: Clean, prepare, and change your chemical data without problem.
Communicate findings: Write clear scientific reports and draw pictures so people understand.
Analyze results: Understand what the models tell you and see the patterns in the data properly.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.