Tools for Exploratory Data Analysis in Business

О курсе

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 Python 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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Ronald Guymon

Senior Lecturer of Accountancy

Kimberly Mendoza

Associate Professor of Accountancy and Grant Thornton LLP Faculty Fellow and Director of the Deloitte Foundation Center for Business Analytics