Tools for Exploratory Data Analysis in Business

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Course overview

Provider
Coursera
Course type
Free online course
Level
Beginner
Deadline
Flexible
Duration
18 hours
Certificate
Paid Certificate Available
Course author
Jessen Hobson
  • Development of an analytic mindset for approaching business problems.

  • The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.

  • Competence in operating business analytic software applications for exploratory data analysis.

Description

This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA). Specifically, you will practice using PowerBI, Alteryx, and RStudio to conduct the ETL and EDA processes. The learning outcomes for this course include: 1. Development of an analytic mindset for approaching business problems. 2. The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations. 3. The ability to competently operate business analytic software applications for exploratory data analysis.

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