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Data Science Advanced Course
Inkrease your Business Intelligence skills ka Data Science Advanced Course ea rona. Dive into data cleaning strategies, master visualization techniques, le ho ithuta ho communicate insights ka bokhabane. Explore data exploration tools, feature engineering, le advanced analysis methods joalo ka regression le clustering. Develop actionable recommendations ho optimize marketing efforts le target customer segments. This concise, high-quality course e u fa matla a ho fetola data hore e be strategic business decisions, 'me u etse so ka lebelo la hao.
- Master data cleaning: Sebetsana le missing values le ho lokisa inconsistencies ka bokhabane.
- Design impactful visuals: Etsa graphs le charts ho communicate insights ka ho hlaka.
- Write compelling reports: Kopanya visuals le ho hlophisa comprehensive findings.
- Engineer valuable features: Calculate customer lifetime value le ho khetha key features.
- Analyze data proficiently: Sebelisa regression le clustering bakeng sa customer segmentation.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Inkrease your Business Intelligence skills ka Data Science Advanced Course ea rona. Dive into data cleaning strategies, master visualization techniques, le ho ithuta ho communicate insights ka bokhabane. Explore data exploration tools, feature engineering, le advanced analysis methods joalo ka regression le clustering. Develop actionable recommendations ho optimize marketing efforts le target customer segments. This concise, high-quality course e u fa matla a ho fetola data hore e be strategic business decisions, 'me u etse so ka lebelo la hao.
Elevify advantages
Develop skills
- Master data cleaning: Sebetsana le missing values le ho lokisa inconsistencies ka bokhabane.
- Design impactful visuals: Etsa graphs le charts ho communicate insights ka ho hlaka.
- Write compelling reports: Kopanya visuals le ho hlophisa comprehensive findings.
- Engineer valuable features: Calculate customer lifetime value le ho khetha key features.
- Analyze data proficiently: Sebelisa regression le clustering bakeng sa customer segmentation.
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 workload.What our students say
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