Python Course For Data Science
What will I learn?
Become a Python expert for Data Science and boost your Business Intelligence skills with our focused, top-notch course. Learn crucial data cleaning methods, including managing duplicates and outliers, and delve into sales performance analysis with insights into regions and product categories. Gain expertise in data loading, preprocessing, and calculating key performance indicators (KPIs). Improve your ability to communicate insights clearly using Jupyter Notebook, and discover practical recommendations to improve sales strategies and stock management.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Become proficient in data cleaning: Remove duplicates, normalise data, and handle outliers effectively.
Analyse sales data: Conduct sales analysis by region, product, and time series.
Pre-process data: Convert data types, manage missing values, and load CSV files using Pandas.
Calculate key metrics: Determine total revenue, revenue by region, and average number of units sold.
Communicate insights: Organise findings and present them using Jupyter Notebook.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and 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.