Python Course For Data Science
What will I learn?
Master Python for Data Science and sharpen your Business Intelligence skills with we tight, top-notch course. Learn how to clean data proper, like how to handle duplicate data and data wey dey far from normal, and dive deep into sales performance analysis, looking at different regions and product types. You go sabi how to load data, prepare am, and calculate the main-main numbers. You go get better for telling people what you find using Jupyter Notebook, and discover correct recommendations to make sales strategies and inventory management strong.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master data cleaning: Remove duplicate data, make data normalize well-well, and treat data wey no dey normal properly.
Analyze sales data: Do sales analysis for different regions, products, and time periods.
Preprocess data: Change data types, handle data wey loss, and load CSV files with Pandas.
Calculate key metrics: Find out the total money made, money made from each region, and average number of items sold.
Communicate insights: Arrange your findings well and present them using Jupyter Notebook.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Adjust 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 growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.