University of Illinois Urbana-Champaign
Introduction to Applied Business Analytics
University of Illinois Urbana-Champaign

Introduction to Applied Business Analytics

This course is part of multiple programs.

Ronald Guymon

Instructor: Ronald Guymon

38,513 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(285 reviews)

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
93%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(285 reviews)

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
93%
Most learners liked this course

What you'll learn

  • Examine the interplay between business principles and data analytics.

  • Build a foundation in data analytics by installing and using a data analytics language, an integrated development environment (IDE), and key modules.

  • Manipulate the most commonly used data types using functions.

  • Develop efficient, easy-to-read approaches for assembling and processing data for analysis.

Details to know

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Assessments

5 assignments

Taught in English

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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In this module, you will be introduced to (1) the FACT framework for approaching business analytics, and (2) Python and the use of JupyterLab or Google Colab for running basic analyses.

What's included

20 videos7 readings2 assignments1 discussion prompt1 plugin

In this module, you’ll focus on framing clear, purposeful questions—whether you're identifying business problems or writing Python code. You’ll explore strategies for troubleshooting and gathering help from various sources, including AI tools, built-in documentation, and error messages. You’ll also be introduced to foundational Python data structures like DataFrames, dictionaries, lists, and strings.

What's included

14 videos2 readings1 assignment

In this module, you will learn about tidy data and then gain practice using basic exploratory techniques for evaluating the tidiness of pandas DataFrames. Specifically, you’ll first learn various approaches for filtering data to specific rows and columns. You’ll then learn how to explore the data using descriptive statistics and visualizations. By mastering these techniques, you'll be equipped to efficiently identify the value of real-world data and the potential of that data for providing insight to the business questions that have been framed.

What's included

12 videos2 readings1 assignment1 peer review

In this module, you’ll clean and prepare data using core Python and pandas tools. Through hands-on examples, you’ll fix issues like missing values and formatting problems, organize data into a tidy structure, write clear and efficient code, and save data in a more compact format that preserves the cleaned data.

What's included

13 videos4 readings1 assignment1 plugin

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

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

 

Instructor

Instructor ratings
4.6 (89 ratings)
Ronald Guymon
University of Illinois Urbana-Champaign
5 Courses83,070 learners

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4.6

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