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Data Science in Python Course
Master the fundamentals of data science with our Data Science in Python Course, designed for Business Intelligence professionals. Get stuck into data handling with Python, explore customer behaviour analysis, and boost your reporting skills. Develop expertise in statistical analysis, sales strategy optimisation, and exploratory data analysis using tools like Pandas, Matplotlib, and Seaborn. Take your career to the next level with practical, high-quality insights that drive data-driven decisions and business success.
- Master data handling: Load, clean, and manage data using Python and Pandas.
- Analyse customer behaviour: Segment, identify trends, and calculate lifetime value.
- Communicate insights: Create 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.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Master the fundamentals of data science with our Data Science in Python Course, designed for Business Intelligence professionals. Get stuck into data handling with Python, explore customer behaviour analysis, and boost your reporting skills. Develop expertise in statistical analysis, sales strategy optimisation, and exploratory data analysis using tools like Pandas, Matplotlib, and Seaborn. Take your career to the next level with practical, high-quality insights that drive data-driven decisions and business success.
Elevify advantages
Develop skills
- Master data handling: Load, clean, and manage data using Python and Pandas.
- Analyse customer behaviour: Segment, identify trends, and calculate lifetime value.
- Communicate insights: Create 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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