Data Science in Python Course
What will I learn?
Learn all di important things dem for Data Science wit dis we Data Science na Python Class. E tailor-make for people weh dey do Business Intelligence work. Dive inside how to handle data wit Python, look pon how customer dem dey behave, and make your report-making skill dem betta. Get proper know-how for statistical analysis, how to make sales strategy dem work fine, and how to explore data using tools like Pandas, Matplotlib, and Seaborn. Carry your career go high wit correct, top-class ideas weh go push data-driven decision-making and business success.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Master how to handle data: Load, clean, and manage data using Python and Pandas.
Analyze how customer dem dey behave: Divide dem, find out di new trends, and calculate how much dem go spend wit you for life.
Talk clear about di things weh you find out: Make recommendation dem weh dey base on data and present your findings dem good.
Do statistical analysis: Perform descriptive statistics and test hypothesis dem.
Make sales strategies dem work fine: Use predictive modeling and find out di key performance indicators dem.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 it offers practical and relevant knowledge for your professional journey.