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Data Science Advanced Course
Sharpen your Business Intelligence skills with our Data Science Advanced Course. Get stuck into proper data cleaning methods, become a master at visualization techniques, and learn how to share your findings clearly. Explore different data exploration tools, feature engineering, and high-level analysis methods like regression and clustering. Develop recommendations you can put into action to make marketing better and target different customer groups. This course is short, sweet, and high-quality, giving you the power to turn data into smart business decisions, and you can learn at your own speed.
- Master data cleaning: Deal with missing information and fix any errors properly.
- Design visuals that make an impact: Make graphs and charts to share your findings clearly.
- Write reports that people will read: Put visuals together and structure full reports of what you've found.
- Engineer features that are worth something: Calculate how much customers are worth over their lifetime and choose the features that really matter.
- Analyze data like a pro: Use regression and clustering to divide customers into groups.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Sharpen your Business Intelligence skills with our Data Science Advanced Course. Get stuck into proper data cleaning methods, become a master at visualization techniques, and learn how to share your findings clearly. Explore different data exploration tools, feature engineering, and high-level analysis methods like regression and clustering. Develop recommendations you can put into action to make marketing better and target different customer groups. This course is short, sweet, and high-quality, giving you the power to turn data into smart business decisions, and you can learn at your own speed.
Elevify advantages
Develop skills
- Master data cleaning: Deal with missing information and fix any errors properly.
- Design visuals that make an impact: Make graphs and charts to share your findings clearly.
- Write reports that people will read: Put visuals together and structure full reports of what you've found.
- Engineer features that are worth something: Calculate how much customers are worth over their lifetime and choose the features that really matter.
- Analyze data like a pro: Use regression and clustering to divide customers into groups.
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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