Data Analytics for Students (2020)

Analytics is such a broad topic that it's hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions.

Introduction

• Data moves a business forward

1. The Power of Data

• What is the value of data?
• The risk of leaning too much on data
• Combining data and intuition

2. Framework to Solve Problems with Data

• Introduction to the framework
• Define the problem
• Identify the key performance indicators
• Data governance
• Data analysis
• Using data to inform business decisions

3. Analytics Foundations

• Three stages of analysis
• Analyzing data with Excel
• The value of data visualization
• Data modeling
• The value of a dashboard
• Building an analytics infrastructure

4. Types of Data Sources

• Data source map
• Internal vs. external data sources
• Sales data
• Marketing data
• Cost data
• Psychographic data
• Competitive intelligence

Conclusion

• Your path forward