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LinkedIn Learning

Data Analytics for Students (2020)

via LinkedIn Learning

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Overview

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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.

Syllabus

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

Taught by

John David Ariansen and Madecraft

Reviews

4.7 rating at LinkedIn Learning based on 742 ratings

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