University of Colorado Boulder
Introduction to Data Analytics for Business
University of Colorado Boulder

Introduction to Data Analytics for Business

This course is part of Advanced Business Analytics Specialization

Taught in English

Some content may not be translated

David Torgerson

Instructor: David Torgerson

175,780 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(3,107 reviews)

|

95%

Beginner level
No prior experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe the information lifecycle from events in the real world to business actions

  • Recognize the types of events and characteristics that are often used in business analytics

  • Explain how the data is captured by source systems and stored using both traditional and emergent technologies

  • Gain familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(3,107 reviews)

|

95%

Beginner level
No prior experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

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

Placeholder

Build your subject-matter expertise

This course is part of the Advanced Business Analytics 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
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 4 modules in this course

Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy

What's included

9 videos3 readings1 quiz2 discussion prompts

In this module we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.

What's included

7 videos3 readings1 quiz2 discussion prompts

In this module we’ll learn how to extract data from a relational database using Structured Query Language, or SQL. We’ll cover all the basic SQL commands and learn how to combine and stack data from different tables. We’ll also learn how to expand the power of our queries using operators and handle additional complexity using subqueries.

What's included

7 videos3 readings1 quiz1 discussion prompt

In this module we focus on the people and organizations that work with data and actually execute analytics. We’ll discuss who does what and see how organizational structures can influence efficiency and effectiveness. We’ll also look at the supporting rules & processes that help an analytical organization run smoothly, like Data Governance, Data Privacy, and Data Quality.

What's included

6 videos2 readings1 quiz1 peer review2 discussion prompts

Instructor

Instructor ratings
4.7 (932 ratings)
David Torgerson
University of Colorado Boulder
3 Courses185,191 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 3107

4.7

3,107 reviews

  • 5 stars

    73.89%

  • 4 stars

    21.27%

  • 3 stars

    3.15%

  • 2 stars

    0.67%

  • 1 star

    0.99%

KM
5

Reviewed on Sep 29, 2020

SH
5

Reviewed on May 19, 2021

SS
5

Reviewed on Jun 18, 2020

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions