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Data Science in Python Course
Master the essentials of data science with our Data Science in Python Course, specifically designed for Business Intelligence professionals in Ireland. Delve into data handling using Python, explore customer behaviour analysis, and sharpen your reporting skills. Develop expertise in statistical analysis, optimising sales strategies, and exploratory data analysis, using tools like Pandas, Matplotlib, and Seaborn. Enhance your career with practical, high-quality insights to inform data-driven decisions and drive business success.
- Master data handling: Load, clean, and manage data using 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.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Master the essentials of data science with our Data Science in Python Course, specifically designed for Business Intelligence professionals in Ireland. Delve into data handling using Python, explore customer behaviour analysis, and sharpen your reporting skills. Develop expertise in statistical analysis, optimising sales strategies, and exploratory data analysis, using tools like Pandas, Matplotlib, and Seaborn. Enhance your career with practical, high-quality insights to inform data-driven decisions and drive business success.
Elevify advantages
Develop skills
- Master data handling: Load, clean, and manage data using 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 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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