Maths for Data Science Course
This course provides essential mathematical tools for data science, focusing on practical applications in retail data analysis, including statistics, regression, and probability to drive business decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Mathematics for Data Science Course equips you with practical skills to clean retail order data, build revenue and profit metrics, and compute key descriptive statistics. You will learn correlation, simple linear regression, and probability using clear, step-by-step numeric examples. Finish able to translate quantitative findings into concise, actionable recommendations for data-driven business decisions.
Elevify advantages
Develop skills
- Mastery of correlation and regression: relate revenue, discounts, and profit quickly.
- Fluency in descriptive statistics: summarise revenue and profit for sharp decisions.
- Insights into probability: read order distributions and estimate business-critical odds.
- Data preparation for retail: clean, validate, and transform order-level CSV data.
- Business storytelling with numbers: turn mathematical results into clear recommendations.
Suggested summary
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.What our students say
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