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Data Science in Python Course
Master the fundamentals of data science with our Data Science in Python Course, specifically designed for Business Intelligence professionals. Delve into data management using Python, explore customer behaviour analysis, and improve your reporting skills. Develop expertise in statistical analysis, sales strategy optimization, and exploratory data analysis, employing tools such as Pandas, Matplotlib, and Seaborn. Advance your career with practical, high-quality insights that facilitate data-driven decisions and business success.
- Master data management: Load, clean, and manage data utilising Python and Pandas.
- Analyse customer behaviour: Segment customers, identify trends, and calculate lifetime value.
- Communicate insights: Develop data-driven recommendations and present findings effectively.
- Conduct statistical analysis: Perform descriptive statistics and hypothesis testing.
- Optimise sales strategies: Use predictive modelling and identify key performance indicators.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Master the fundamentals of data science with our Data Science in Python Course, specifically designed for Business Intelligence professionals. Delve into data management using Python, explore customer behaviour analysis, and improve your reporting skills. Develop expertise in statistical analysis, sales strategy optimization, and exploratory data analysis, employing tools such as Pandas, Matplotlib, and Seaborn. Advance your career with practical, high-quality insights that facilitate data-driven decisions and business success.
Elevify advantages
Develop skills
- Master data management: Load, clean, and manage data utilising Python and Pandas.
- Analyse customer behaviour: Segment customers, identify trends, and calculate lifetime value.
- Communicate insights: Develop data-driven recommendations and present findings effectively.
- Conduct statistical analysis: Perform descriptive statistics and hypothesis testing.
- Optimise sales strategies: Use predictive modelling and identify key performance indicators.
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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