Python Course For Data Science
What will I learn?
Learn Python good good for Data Business, so you can shine your light on Business Intelligence work. This lesson ain't too long, but it strong like iron. You go learn how to clean data like a pro, troway all the bad data like the duplicates and the outliers. You go dive deep inside sales numbers, check which region selling good and which product people buying plenty. You go learn how to bring data inside, fix it up, and count all the important numbers. You go learn how to talk about your findings clear clear using Jupyter Notebook, so you can tell people what they need to do to sell more and keep the right amount of goods in store.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Clean data like Sunday rice: Troway duplicates, make everything look the same, and handle those outliers proper proper.
Check sales numbers: Look at sales by region, by product, and how sales changing over time.
Fix data before you use it: Change the kind of data, handle empty spaces, and bring in CSV files with Pandas.
Count the important numbers: Find out how much money coming in, how much each region making, and how many things people buying on average.
Talk about what you find: Put your findings in order and show them off using Jupyter Notebook.
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.