This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
Introduction to Data Analytics for Business
This course is part of Advanced Business Analytics Specialization
Instructor: David Torgerson
Sponsored by InternMart, Inc
182,330 already enrolled
(3,137 reviews)
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
Skills you'll gain
Details to know
Add to your LinkedIn profile
4 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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 assignment2 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 assignment2 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 assignment1 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 assignment1 peer review2 discussion prompts
Instructor
Offered by
Why people choose Coursera for their career
Learner reviews
3,137 reviews
- 5 stars
73.92%
- 4 stars
21.20%
- 3 stars
3.18%
- 2 stars
0.66%
- 1 star
1.01%
Showing 3 of 3137
Reviewed on Sep 29, 2020
This course was an eye opener on how data and business work. It taught me new values for data and planning, as well as respect and appreciation for the whole working groups in a company.
Reviewed on Nov 22, 2020
Overall I liked it. I would like to see more SQL practice and maybe a built-in tool to write SQL that shows where errors can be shown along with suggestions on how to fix the errors.
Reviewed on Jun 29, 2020
this was literally like an in person course, concepts very well explained and I experienced a significant increase in understanding of practical application of data analytics to businesses.
Recommended if you're interested in Data Science
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
Coursera Project Network
Open new doors with Coursera Plus
Unlimited access to 10,000+ 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