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Data Science And Artificial Intelligence Course
Unlock the power wey dey inside data with our Data Science and Artificial Intelligence Course, specially made for oga dem wey dey Business Intelligence. Enter inside customer segmentation with K-Means and Hierarchical Clustering, sabi how to explore data wella through visualization and finding wetin no correct (anomaly detection), and sharpen your forecasting skills with time series and machine learning models. Learn how to prepare data, check if e dey correct, and find better better insights wey go help make correct business decisions. Carry your skill go up with our short, correct, and practical course.
- Sabi clustering well: Divide customers into groups using K-Means and hierarchical methods.
- Visualize data well well: Make correct charts wey go show insights and trends.
- Forecast sales: Predict how sales go be with time series and regression models.
- Clean data: Make sure data dey clean and correct through normalization and transformation.
- Talk about insights clearly: Give clear business advice wey people fit use.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power wey dey inside data with our Data Science and Artificial Intelligence Course, specially made for oga dem wey dey Business Intelligence. Enter inside customer segmentation with K-Means and Hierarchical Clustering, sabi how to explore data wella through visualization and finding wetin no correct (anomaly detection), and sharpen your forecasting skills with time series and machine learning models. Learn how to prepare data, check if e dey correct, and find better better insights wey go help make correct business decisions. Carry your skill go up with our short, correct, and practical course.
Elevify advantages
Develop skills
- Sabi clustering well: Divide customers into groups using K-Means and hierarchical methods.
- Visualize data well well: Make correct charts wey go show insights and trends.
- Forecast sales: Predict how sales go be with time series and regression models.
- Clean data: Make sure data dey clean and correct through normalization and transformation.
- Talk about insights clearly: Give clear business advice wey people fit use.
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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