Data Science in Python Course
What will I learn?
Learn di important things for data science with our Data Science for Python Course, tailor-made for people weh dey work with Business Intelligence. Dig deep inside how to handle data with Python, check customer behaviour, and make your reporting skills strong. Get proper knowledge for statistical analysis, how to make sales strategies better, and exploratory data analysis using tools like Pandas, Matplotlib, and Seaborn. Make your career better with real, quality information weh go help make correct decisions based on data and make business succeed.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Learn how to handle data properly: Load, clean, and manage data using Python and Pandas.
Check customer behaviour well-well: Divide them into groups, find out trends, and calculate how much dem go spend for lifetime.
Talk about wetin you find out clear clear: Make recommendations based on data and present your findings well.
Do statistical analysis: Do descriptive statistics and test hypothesis.
Make sales strategies better: Use predictive modeling and find out di 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.