Data Science in Python Course
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.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
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
Workload: between 4 and 360 hours
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
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 it offers practical and relevant knowledge for your professional journey.