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Specialist in Quantitative Methods Course
Level up your statistics know-how with our Oga Specialist for Quantitative Methods Course. Jump inside Exploratory Data Analysis, become master for Time Series Analysis, and use Predictive Modeling to make correct predictions. Improve your skills for Data Visualization and learn how to make fine reports with good presentation. Learn how to use important tools like R, Excel, and Python well. This course na for statistics people wey want learn quick-quick, practical, and correct things wey go push their work forward.
- Master EDA ways to find out the secrets inside data quick-quick.
- Check time series to see patterns and when things dey happen plenty.
- Build predictive models using linear regression and forecasting to see wetin go happen for future.
- Make correct data reports with visuals wey go catch eye.
- Use statistics ways for strong data analysis.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Level up your statistics know-how with our Oga Specialist for Quantitative Methods Course. Jump inside Exploratory Data Analysis, become master for Time Series Analysis, and use Predictive Modeling to make correct predictions. Improve your skills for Data Visualization and learn how to make fine reports with good presentation. Learn how to use important tools like R, Excel, and Python well. This course na for statistics people wey want learn quick-quick, practical, and correct things wey go push their work forward.
Elevify advantages
Develop skills
- Master EDA ways to find out the secrets inside data quick-quick.
- Check time series to see patterns and when things dey happen plenty.
- Build predictive models using linear regression and forecasting to see wetin go happen for future.
- Make correct data reports with visuals wey go catch eye.
- Use statistics ways for strong data analysis.
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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