Data Analysis with Excel

Business data analysis presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation where many of the tools in the analyst’s tool belt (e.g., regression) aren’t ideal for the task. Despite these challenges, proper analysis of business data represents a fundamental skill required of Business/Data Analysts, Product/Program Managers, and Data Scientists. At this meetup presenter Dave Langer will show how to get started analyzing business data in a robust way using Excel – no programming or statistics required!

Lecture Starts at: 8:25

We will cover the following during the presentation:

  • The types of business data and why business data is a unique analytical challenge.
  • Requirements for robust business data analysis.
  • Using histograms, running records, and process behavior charts to analyze business data.
  • The rules of trend analysis.
  • How to properly compare business data across time, organizations, geographies, etc.Where you can learn more about the tools and techniques.

More Data Science Material:
[Video] R Programming for Excel Users
[Blog] Time Series – the Quintillion Business Applications You Forgot About
[Blog]  R Language Programming for Excel Users


About The Author
- Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.


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