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Statistics Course
Unlock the power of statistics, specially made for chemistry people like you! This course go teach you all you need to know. We go start with Exploratory Data Analysis so you go sabi how to see data well-well and find patterns. Then, we go learn Correlation and Regression Analysis so you go fit understand those tough chemistry data. We go also learn Data Preparation, like how to deal with things wey no correct (outliers) and data wey dey miss. You go become correct user of software like Excel, Python, and R. And finally, you go sabi how to talk about your findings with reports and pictures wey go make sense to everybody. Join us now so you go sabi analyze things well!
- Master data visualization: Sabi create fine-fine graphs to analyze your chemistry data.
- Analyze correlations: Find relationships inside your chemistry data sharp-sharp.
- Clean data efficiently: Remove those yeye outliers and fill the missing data for your chemistry research.
- Communicate results: Write clear and strong statistical reports for chemistry.
- Utilize software tools: Use Excel, Python, and R like a boss for chemistry statistics.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of statistics, specially made for chemistry people like you! This course go teach you all you need to know. We go start with Exploratory Data Analysis so you go sabi how to see data well-well and find patterns. Then, we go learn Correlation and Regression Analysis so you go fit understand those tough chemistry data. We go also learn Data Preparation, like how to deal with things wey no correct (outliers) and data wey dey miss. You go become correct user of software like Excel, Python, and R. And finally, you go sabi how to talk about your findings with reports and pictures wey go make sense to everybody. Join us now so you go sabi analyze things well!
Elevify advantages
Develop skills
- Master data visualization: Sabi create fine-fine graphs to analyze your chemistry data.
- Analyze correlations: Find relationships inside your chemistry data sharp-sharp.
- Clean data efficiently: Remove those yeye outliers and fill the missing data for your chemistry research.
- Communicate results: Write clear and strong statistical reports for chemistry.
- Utilize software tools: Use Excel, Python, and R like a boss for chemistry statistics.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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