Data Analytics for Students
48mBeginner2026-01-05
Authors
Madecraft
Full-Service Learning Content Company
Course details
What is this course about?
Curious about how data actually drives decisions in the real world? This course—designed specifically for students—offers a practical, approachable entry point into analytics, ideal if you’re early in your academic journey or exploring career paths in business or data science. Examine how data is captured, why it matters, and how it shapes everyday operations; how to use common analytics tools to interpret metrics and visualize information clearly; and how to work with frameworks that help you stay focused, evaluate data sources responsibly, and understand the role governance plays in analysis. Along the way, this course provides real-world examples that illustrate how analytics informs strategy, as well as the careers where strong analytical thinking is most essential.
This course was created by Madecraft. We are pleased to host this training in our library.
Objectives
What will I be able to do by the end of this course?
Articulate the value of data in business decision-making.
Identify and define key performance indicators relevant to organizational success.
Apply data governance principles to ensure data consistency and reliability.
Analyze and interpret datasets using Excel for practical insights.
Communicate complex data insights effectively through visualization techniques.
Audience
Who is this course for?
Students with an interest in data science
Aspiring data analysts
Business students exploring analytics roles
Anyone interested in developing analytical skills
Curious about how data actually drives decisions in the real world? This course—designed specifically for students—offers a practical, approachable entry point into analytics, ideal if you’re early in your academic journey or exploring career paths in business or data science. Examine how data is captured, why it matters, and how it shapes everyday operations; how to use common analytics tools to interpret metrics and visualize information clearly; and how to work with frameworks that help you stay focused, evaluate data sources responsibly, and understand the role governance plays in analysis. Along the way, this course provides real-world examples that illustrate how analytics informs strategy, as well as the careers where strong analytical thinking is most essential.
This course was created by Madecraft. We are pleased to host this training in our library.
Objectives
What will I be able to do by the end of this course?
Articulate the value of data in business decision-making.
Identify and define key performance indicators relevant to organizational success.
Apply data governance principles to ensure data consistency and reliability.
Analyze and interpret datasets using Excel for practical insights.
Communicate complex data insights effectively through visualization techniques.
Audience
Who is this course for?
Students with an interest in data science
Aspiring data analysts
Business students exploring analytics roles
Anyone interested in developing analytical skills
Concepts
Introduction
- Data moves a business forward
The Power of Data
- What is the value of data
- The risk of leaning too much on data
- Combining data and intuition
A Framework to Solve Problems with Data
- Introduction to the framework
- Define the problem
- Identify the key performance indicators
- Apply data governance principles
- Analyze data effectively
- Using data to inform business decisions
Analytics Foundations
- Four stages of analysis
- Analyzing data with Excel
- The value of data visualization
- Connect data with data modeling
- Build effective dashboards
- Building an analytics infrastructure
Types of Data Sources
- Map your data sources
- Internal vs. external data sources
- Interpret sales data
- Use marketing data effectively
- Evaluate cost data
- Analyze psychographic data
- Assess competitive intelligence
Conclusion
- Your path forward