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.
Module 4 Introduction
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Skills You'll Learn
Data Analysis, Descriptive Statistics, Data Storytelling, Power BI, Business Analytics, Business Intelligence, Extract, Transform, Load, Alteryx, Analytics, Data Quality, Exploratory Data Analysis, Data Transformation, Statistical Methods, Data Visualization Software, R Programming
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From the lesson
Module 4: ETL and EDA Using Alteryx
Alteryx is great for visually documenting the data analytic workflow. In this module we will use Alteryx to assemble the Teca data and explore it with plots and tables.
Taught By
Ronald Guymon
Senior Lecturer of Accountancy and Teaching and Learning Faculty Innovation Scholar
Gies College of Business, University of Illinois