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Data Science Foundations: Data Mining Course
Open up the power of data with our Data Science Foundations: The Data Mining Course Gyange, made for Business Intelligence proper professionals like you. You will learn the important skills like cleaning data, seeing patterns, and making data features. Go deep into looking at data, finding what is not normal, and making good visualizations. Learn to find important things through things like understanding customers well and finding connections between products. Improve your career with lessons that are straight to the point, of high quality, and practical that you can use right away. Register now to change how you know data.
- Become a master at cleaning data: Correct mistakes and deal with data that is missing properly.
- See patterns clearly: Use data mining ways to find patterns that make sense.
- Change data well: Use feature engineering and normalization to make data the best it can be.
- Show insights visually: Make visualizations and reports that are impactful and easy to understand.
- Generate insights: Do customer segmentation and strategic analysis effectively.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Open up the power of data with our Data Science Foundations: The Data Mining Course Gyange, made for Business Intelligence proper professionals like you. You will learn the important skills like cleaning data, seeing patterns, and making data features. Go deep into looking at data, finding what is not normal, and making good visualizations. Learn to find important things through things like understanding customers well and finding connections between products. Improve your career with lessons that are straight to the point, of high quality, and practical that you can use right away. Register now to change how you know data.
Elevify advantages
Develop skills
- Become a master at cleaning data: Correct mistakes and deal with data that is missing properly.
- See patterns clearly: Use data mining ways to find patterns that make sense.
- Change data well: Use feature engineering and normalization to make data the best it can be.
- Show insights visually: Make visualizations and reports that are impactful and easy to understand.
- Generate insights: Do customer segmentation and strategic analysis effectively.
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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