Your Guide to Business Analysis Tools for 2025
January 29, 2025
Article
This course is part of Business Analytics Specialization
Instructors: Ronald Guymon
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(50 reviews)
Recommended experience
Beginner level
Some prior experience using data in a business setting is helpful.
(50 reviews)
Recommended experience
Beginner level
Some prior experience using data in a business setting is helpful.
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.
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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.
Your mind is the most important tool. Prepare your mind by learning about various mindsets and terms for approaching business analytic problems.
13 videos7 readings2 assignments1 discussion prompt1 plugin
PowerBI is great for both data assembly and visualization. In this module we will use PowerBI to prepare the Teca data for analysis, and then visually explore that data with various charts.
15 videos3 readings1 assignment
Using R in RStudio to load, transform, clean, and explore data
20 videos3 readings1 assignment
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.
18 videos6 readings1 assignment1 peer review1 discussion prompt1 plugin
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
This course is part of the following degree program(s) offered by University of Illinois Urbana-Champaign. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
University of Illinois Urbana-Champaign
Degree · 6-10 months
University of Illinois Urbana-Champaign
Degree · 2 – 3 years
University of Illinois Urbana-Champaign
Degree · 8 months
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
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Reviewed on Mar 2, 2023
Great course, I appreciate both instructors for this informative course!
Thank you
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