Python Course For Data Science
What will I learn?
Become proper good with Python for Data Science and make your Business Intelligence skills top-notch with our short, sharp training. You go learn how to clean data well-well, like how to handle doubles (duplicates) and those yeye outliers, and you go dive inside sales performance to see which area and which product dey sell pass. You go sabi how to load data, fix am up, and calculate the main-main things. Plus, you go learn how to tell people what you find out using Jupyter Notebook, so you fit give them correct advice to make sales better and manage stock well.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Learn how to clean data proper: Remove doubles (duplicates), make data correct, and deal with outliers like a boss.
Analyze sales data: Check sales for each area, each product, and how they sell over time (time series).
Fix up data: Change how data dey, handle missing values, and load CSV files with Pandas.
Calculate the main-main things: Find out total money made, how much each area make, and how many things dem dey sell on average.
Tell people what you find out: Arrange your findings and show dem using Jupyter Notebook.
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.