University of Illinois at Urbana-Champaign
Business Analytics Executive Overview
University of Illinois at Urbana-Champaign

Business Analytics Executive Overview

This course is part of Introduction to Business Analytics and Information Economics Specialization

Taught in English

Some content may not be translated

Douglas B. Laney

Instructor: Douglas B. Laney

17,004 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(274 reviews)

Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(274 reviews)

Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Introduction to Business Analytics and Information Economics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

This first module exposes and explains key data and analytics concepts from Big Data to data warehousing to natural language query, and everything in-between. Next we will explore various analytic techniques, types of visualizations, and types of analytics solutions. The course will continue with identifying and learning about key data and analytics roles and organization structures, including chief data and analytics officers, data scientists, and analytics centers of excellence. Alternatives to direct hiring, such as outsourcing and crowdsourcing, will also be covered. Finally, the course will scrutinize analytic trends and futures.

What's included

18 videos9 readings2 quizzes

Over the course of the module, you will also see how data and analytics in each of these organizations can be used in similar ways, in similar business functions. Accordingly, you will appreciate that to be truly data-driven, you need not only look to examples in your own industry, but, also learn and apply analytics concepts from organizations in other fields.

What's included

11 videos2 readings1 quiz

In this module you will learn a bunch of crucial analytical roles and the emergence of new roles in organizations from the C-suite down to various analyst roles. You will take a brief look at the job descriptions and the responsibilities. You will also put yourself in either a job seeker’s or a recruiter’s shoes to see what kind of skill sets are the most important and which position fits you the best. For example, it will introduce you to the three core skills of the data scientist and the crucial soft skills required to be a successful data scientist.

What's included

11 videos2 readings1 quiz1 peer review

This module explores telling stories, through data, that connect emotionally with your audience. It will also review examples and figures that make the concept easy to understand. You will learn the major do’s and don’ts of creating dataviz and rules that lead to the clear depiction of your findings. This unit specifically focuses on Dona Wong’s guidelines for good data visualization and charts. The last leg of Module 4 teaches the three tests that help you improve your visualization. In the final step of dataviz execution, you will learn the McCandless Method for presenting visualizations. This five-step process produces the most effective communication of the graphics to your audience.

What's included

14 videos4 readings1 quiz1 plugin

Instructor

Instructor ratings
4.6 (61 ratings)
Douglas B. Laney
University of Illinois at Urbana-Champaign
4 Courses27,113 learners

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4.6

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