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Data Analytics for Students (2022)

Data Analytics for Students (2022)

1h 1mBeginner2022-02-28

Authors

John David Ariansen

John David Ariansen

Helping organizations understand and use data

Madecraft

Madecraft

Full-Service Learning Content Company

Course details

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, and build core analytics skills that can prepare you to enter into the business or data science landscape. Learn about the basics of analytics, how data is typically captured, and how it impacts the day-to-day of a business. This course also provides an introduction to common tools used in analytics, as well as stories designed to help students get an overview of careers that require strong analytical skills.

Skills covered

PersonaData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and Tools

Concepts

0. Introduction

  • 01 - Data moves a business forward

1. The Power of Data

  • 02 - What is the value of data
  • 03 - The risk of leaning too much on data
  • 04 - Combining data and intuition

2. Framework to Solve Problems with Data

  • 05 - Introduction to the framework
  • 06 - Define the problem
  • 07 - Identify the key performance indicators
  • 08 - Data governance
  • 09 - Data analysis
  • 10 - Using data to inform business decisions

3. Analytics Foundations

  • 11 - Three stages of analysis
  • 12 - Analyzing data with Excel
  • 13 - The value of data visualization
  • 14 - Data modeling
  • 15 - The value of a dashboard
  • 16 - Building an analytics infrastructure

4. Types of Data Sources

  • 17 - Data source map
  • 18 - Internal vs. external data sources
  • 19 - Sales data
  • 20 - Marketing data
  • 21 - Cost data
  • 22 - Psychographic data
  • 23 - Competitive intelligence

Conclusion

  • 24 - Your path forward

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