Python Course for Data Science
What will I learn?
Master Python for Data Science and elevate your Business Intelligence skills with our concise, high-quality course. Learn essential data cleaning techniques, including handling duplicates and outliers, and dive into sales performance analysis with regional and product category insights. Gain proficiency in data loading, preprocessing, and key metrics calculation. Enhance your ability to communicate insights effectively 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: Remove duplicates, normalize, and treat outliers effectively.
Analyze sales data: Perform regional, product, and time series sales analysis.
Preprocess data: Convert types, handle missing values, and load CSVs with Pandas.
Calculate key metrics: Determine total revenue, regional revenue, and average units sold.
Communicate insights: Structure findings and present 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.