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Computer Science Data Science Course
Advance your Business Intelligence career with our Computer Science Data Science Course. Become proficient in data visualisation techniques, including creating effective charts and using insightful graphs. Gain expertise in data analysis tools such as Excel, Python, and R. Learn to write clear and persuasive reports and presentations for stakeholders who may not have a technical background. Delve into exploratory data analysis, discovering trends and managing anomalies. Improve your skills in sales and revenue analysis, and develop strategic marketing insights through customer segmentation and targeted promotions.
- Master data visualisation: Develop impactful charts and graphs to extract insights.
- Excel in data analysis: Use Excel, Python, and R for thorough analysis.
- Prepare compelling reports: Incorporate visuals and write for a variety of audiences.
- Conduct exploratory analysis: Identify trends, outliers, and data structures.
- Develop marketing strategies: Segment customers and optimise promotional activities.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Advance your Business Intelligence career with our Computer Science Data Science Course. Become proficient in data visualisation techniques, including creating effective charts and using insightful graphs. Gain expertise in data analysis tools such as Excel, Python, and R. Learn to write clear and persuasive reports and presentations for stakeholders who may not have a technical background. Delve into exploratory data analysis, discovering trends and managing anomalies. Improve your skills in sales and revenue analysis, and develop strategic marketing insights through customer segmentation and targeted promotions.
Elevify advantages
Develop skills
- Master data visualisation: Develop impactful charts and graphs to extract insights.
- Excel in data analysis: Use Excel, Python, and R for thorough analysis.
- Prepare compelling reports: Incorporate visuals and write for a variety of audiences.
- Conduct exploratory analysis: Identify trends, outliers, and data structures.
- Develop marketing strategies: Segment customers and optimise promotional activities.
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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