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Tools for Exploratory Data Analysis in Business(으)로 돌아가기

일리노이대학교 어버너-섐페인캠퍼스의 Tools for Exploratory Data Analysis in Business 학습자 리뷰 및 피드백

4.9
별점
17개의 평가

강좌 소개

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....

최상위 리뷰

필터링 기준:

Tools for Exploratory Data Analysis in Business의 3개 리뷰 중 1~3

교육 기관: Jasbir S

2021년 11월 8일

교육 기관: Xiao Z

2022년 7월 8일

교육 기관: Christophe B

2022년 8월 16일