Python Course For Data Science
What will I learn?
Become a Python whiz for Data Science and boost your Business Intelligence skills with our straight-to-the-point, quality course. You'll learn proper data cleaning skills, including sorting out duplicates na outliers, and get into analyzing sales performance by looking at different regions and product categories. Get good at loading data, preparing it, and calculating important figures. Learn how to share what you find clearly using Jupyter Notebook, and discover recommendations you can use to improve sales plans and manage stock better.
Apoia's Unique Benefits
Develop skills
Enhance your practical skills listed below
Master data cleaning: Remove duplicates, sort data properly, and deal with outliers like a pro.
Analyze sales data: Do a proper breakdown of sales figures by region, product, and how they change over time.
Preprocess data: Change data types, handle missing values, and load CSV files using Pandas.
Calculate key metrics: Figure out total revenue, revenue per region, and average number of items sold.
Communicate insights: Structure your findings well and present them nicely using Jupyter Notebook.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change 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 does not equate to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.