Python Course For Data Science
What will I learn?
Maasah Python fi Data Science an' boost yuh Business Intelligence skills widi concise, high-quality course ya. Learn di main data cleanin' techniques dem, like how fi handle duplicates an' outliers, an' dive een pan sales performance analysis wid regional an' product category insight. Get betta at data loadin', preprocessing, an' calculate di important metrics dem. Mek yuh ability fi share yuh findin' dem betta by using Jupyter Notebook, an' find real recommendations fi boost sales strategies an' inventory management.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
Maasah data cleanin': Tek out duplicates, normalize, an' deal wid outliers good, good.
Analyze sales data: Do regional, product, an' time series sales analysis.
Preprocess data: Change di type dem, handle missin' values, an' load CSVs wid Pandas.
Calculate key metrics: Figure out total revenue, regional revenue, an' average units weh sell.
Communicate insights: Put yuh findin' dem eenna order an' present dem 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'll 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.