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Tools for Exploratory Data Analysis in Business
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Tools for Exploratory Data Analysis in Business

This course is part of Business Analytics Specialization.

Course Cost

Free course

Beginner

Skill Level

15 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.8

12,217 Enrolled

Ronald Guymon

Ronald Guymon

Kimberly Mendoza

Kimberly Mendoza

English

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4.8

12,217 Enrolled

English

Ronald Guymon

Ronald Guymon

Kimberly Mendoza

Kimberly Mendoza

What you'll learn

  • Develop an analytical mindset for business problems

  • Master ETL processes using industry tools

  • Create effective data visualizations

  • Conduct exploratory data analysis

Skills you'll gain

Data Analysis
Business Analytics
PowerBI
Alteryx
R Programming
Data Visualization
ETL
Exploratory Analysis
Statistical Analysis
Data Cleansing

This course includes:

7.9 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course teaches tools and techniques for processing business data into actionable insights. Students learn to use PowerBI, Alteryx, and RStudio for data extraction, transformation, loading (ETL), and exploratory data analysis (EDA). The curriculum emphasizes developing an analytical mindset and practical software skills.

Course Orientation and Module 1: Analytics Mindset

Module 1 · 4 Hours to complete

Module 2: ETL and EDA Using Python

Module 2 · 3 Hours to complete

Module 3: ETL and EDA Using SQL

Module 3 · 5 Hours to complete

Module 4: ETL and EDA Using APIs

Module 4 · 3 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Business Analytics Specialization

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Ronald Guymon

4.9

149

Reviews

79,157

Students

5

Courses

Ronald Guymon is a Senior Lecturer of Accountancy at the University of Illinois Urbana-Champaign, where he has been teaching since 2018. He holds a Ph.D. in Accounting from the University of Iowa, earned in 2008, as well as both a Bachelor’s and Master’s degree in Accounting from Brigham Young University. With a strong focus on data analytics within accounting, Professor Guymon teaches courses such as "Accounting Data Analytics with Python" and "Introduction to Accounting Data Analytics and Visualization," equipping students with the skills necessary to leverage data for informed decision-making in business contexts.In addition to his teaching role, Guymon is recognized as a Teaching and Learning Faculty Innovation Scholar, reflecting his commitment to enhancing educational practices. He has extensive experience in applying data analytics across various industries, having served in roles such as Chief Data Officer for multiple organizations. His research interests include the intersection of accounting and data analytics, with publications addressing topics like performance measurement and the impact of data on decision-making processes. Through his innovative teaching methods and practical insights, Ronald Guymon continues to influence the next generation of accountants and business leaders at UIUC.
Kimberly Mendoza

4.4

21

Reviews

21,605

Students

3

Courses

Kimberly Mendoza teaches "Applying Data Analytics in Accounting" and "Machine Learning Algorithms with Python in Business Analytics" at the University of Illinois Urbana-Champaign. Her courses help learners master analytics, auditing, automation in Python, and machine learning techniques for business. Kimberly focuses on equipping professionals with practical, hands-on skills to analyze data, manage quality, and drive insight for real-world business and accounting challenges.
Tools for Exploratory Data Analysis in Business

Beginner

Skill Level

15 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.