Data Science in Python Course
What will I learn?
Master the basics of data science with our Data Science in Python Course, geared for Business Intelligence professionals. Jump into data handling with Python, explore customer behaviour analysis, and boost your reporting skills. Get skilled 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.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
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
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.