Tools for Exploratory Data Analysis in Business

Tools for Exploratory Data Analysis in Business

Tools for Exploratory Data Analysis in Business This course is part of Business Analytics Specialization Taught in English 22 languages available Some content may not be translated Instructors: Ronald Guymon +1 more Close Instructors Instructor ratings We asked all learners to give feedback on our instructors based on the quality of their teaching style. Close

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Description

Exploratory data analysis (EDA) is a crucial step in the data analysis process for any business looking to gain insights and make informed decisions. By examining and visualizing data, businesses can uncover patterns, trends, and outliers that can guide strategic decision-making. Tools specifically designed for EDA can streamline the process and provide valuable insights to help businesses achieve their goals.

One popular tool for EDA in business is Tableau. Tableau is a powerful data visualization tool that allows businesses to create interactive dashboards and reports to explore and analyze data. With Tableau, businesses can easily identify trends, outliers, and patterns in their data, making it easier to draw meaningful insights and make data-driven decisions.

Another widely used tool for EDA is Microsoft Excel. While Excel may not be as advanced

Tools for Exploratory Data Analysis in Business

This course is part of Business Analytics Specialization

Taught in English

Some content may not be translated

Ronald Guymon
Gies College of Business, University of Illinois

Instructors: Ronald Guymon

10,033 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.8

(36 reviews)

Beginner level

Recommended experience

18 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

What you’ll learn

  • 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.

Details to know

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Assessments

5 quizzes

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