Python Course For Data Science
What will I learn?
Master Python for Data Science and ramp up your Business Intelligence skills with our concise, top-notch course. Learn crucial data cleaning techniques, including dealing with duplicates and outliers, and get stuck in with sales performance analysis using regional and product category insights. Become a pro at data loading, preprocessing, and calculating key metrics. Improve your ability to communicate insights properly using Jupyter Notebook, and uncover actionable recommendations to boost sales strategies and inventory management.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data cleaning: Get rid of duplicates, normalise data, and sort out outliers properly.
Analyse sales data: Do regional, product, and time series sales analysis.
Preprocess data: Change data types, handle missing values, and load CSVs with Pandas.
Calculate key metrics: Work out total revenue, regional revenue, and average units sold.
Communicate insights: Structure your findings and present them using Jupyter Notebook.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change 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 offers practical and relevant knowledge for your professional journey.