Data Science in Python Course
What will I learn?
Get proper knowledge for data science using our Data Science for Python Training, wey dem design specially for people wey dey work with Business Intelligence. You go learn how to handle data well-well with Python, look into how customers dey behave, and make your report writing skills strong. You go sabi statistical analysis, how to make sales strategies better, and how to explore data using tools like Pandas, Matplotlib, and Seaborn. Make your career better with correct and useful knowledge wey go help you make decisions based on data and make your business successful.
Apoia's Unique Features
Develop skills
Enhance the practical skills listed below
Sabi how to handle data well: Load, clean, and manage data using Python and Pandas.
Analyze how customers dey behave: Divide customers into groups, find out wetin dey trend, and calculate how much each customer dey worth.
Talk about wetin you find out: Give recommendations wey dey based on data and present your findings clearly.
Do statistical analysis: Perform descriptive statistics and test hypothesis.
Make sales strategies better: Use predictive modeling and find out the important things to measure to know if sales dey go well.
Suggested summary
Workload: between 4 and 360 hours
Before beginning, feel free to 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 akin to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.