Python Course For Data Science
What will I learn?
Master Python for Data Science and boost your Business Intelligence skills with our focused, high-quality course. Learn important data cleaning techniques, including how to handle duplicates and outliers, and delve into sales performance analysis with insights into different regions and product types. Become skilled in data loading, preparing data, and calculating key performance measures. Improve your ability to share what you've learned clearly using Jupyter Notebook, and discover practical advice to improve sales plans and stock control.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master data cleaning: Get rid of duplicates, standardise data, and deal with outliers properly.
Analyse sales data: Do sales analysis for different regions, products, and over time.
Prepare data: Change data types, deal with missing data, and load CSV files using Pandas.
Calculate key metrics: Work out total revenue, revenue by region, and average units sold.
Communicate insights: Organise your findings and present them using Jupyter Notebook.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.