Computer Science Data Science Course
What will I learn?
Take your Business Intelligence career to the next level with our Computer Science Data Science Course (Ghana Edition). You go master data visualisation techniques, including how to create proper charts and use graphs for better understanding. You go gain proper knowledge in data analysis tools like Excel, Python, and R. You go learn how to write correct reports and do presentations wey non-technical people go understand. You go delve deep into exploratory data analysis, finding patterns and dealing with any 'wahala' wey the data bring. Plus, you go sharpen your skills in sales and revenue analysis, and develop smart marketing ideas through customer segmentation and targeted promotions.
Develop skills
Enhance the development of the practical skills listed below
Master data visualisation: Create charts and graphs wey dey make impact so you fit get better understanding.
Excel in data analysis: Use Excel, Python, and R like a pro for thorough analysis.
Craft compelling reports: Put visuals inside and write in a way wey everybody go understand.
Conduct exploratory analysis: Find patterns, outliers, and how the data be structured.
Develop marketing strategies: Divide customers into groups and make your promotions top-notch.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at 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.