Python Course For Data Science
What will I learn?
Master Python for Data Science and bollox your Business Intelligence skills with our concise, top-notch course. Learn essential data cleaning techniques, including sortin' out duplicates and outliers, and get stuck into sales performance analysis with regional and product category insights. Become a dab hand at data loading, preprocessing, and key metrics calculation. Get better at communicatin' insights properly usin' Jupyter Notebook, and dig up actionable recommendations to give sales strategies and inventory management a boost.
Apoia's Advantages
Develop skills
Strengthen the development of the practical skills listed below
Master data cleaning: Get rid of duplicates, normalize, and deal with outliers properly.
Analyze sales data: Do regional, product, and time series sales analysis.
Preprocess data: Convert types, sort out missing values, and load CSVs with Pandas.
Calculate key metrics: Work out total revenue, regional revenue, and average units sold.
Communicate insights: Structure findings and present 'em 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.