- Level Foundation
- Duration 12 hours
- Course by University of Colorado Boulder
-
Offered by
About
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. What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You'll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization. This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
Modules
Introduction to the Course and Specialization
2
Videos
- Introduction to the Course
- Introduction to the Specialization
Introduction to Week 1
1
Videos
- 0. Introduction to Data & Analysis in Real World
1
Readings
- Week 1 Lecture Slides
Context and Analytical Problems
2
Videos
- 1. Thinking about Analytical Problems
- 2. Conceptual Business Models
The Information-Action Value Chain
4
Videos
- 3. The information-Action Value Chain (Part 1)
- 4. The information-Action Value Chain (Part 2)
- 5. Real World Events and Characteristics
- 6. Data Capture by Source Systems
Assignments
1
Assignment
- Week 1 Quiz
2
Readings
- Week 1 Quiz Answer Key
- You can now start part 1 of the final assignment!
Discussions
2
Discussions
- What is more important for a data analyst to understand, the business or analytical methods?
- What are some of the challenges you might find in communicating the results of your analysis?
Introduction
1
Videos
- 0. Introduction - Analytical Technologies
1
Readings
- Week 2 Lecture Slides
Data Storage
4
Videos
- 1. Data Storage and Databases
- 2. Big Data & the Cloud
- 3. Virtualization, Federation, and In-Memory Computing
- 4. The Relational Database
Information Tools
2
Videos
- 5. Data Tools Landscape
- 6. The Tools of the Data Analyst
Assignments
1
Assignment
- Week 2 Quiz
2
Readings
- Week 2 Quiz Answer Key
- You can now start part 2 of the final assignment!
Discussions
2
Discussions
- Information tools used at different organizations
- Different approaches to building a relational database
Introduction
1
Videos
- 0. Introduction - Data Extraction Using SQL
1
Readings
- Week 3 Lecture Slides
Data Extraction Using SQL
6
Videos
- 1. Introduction to SQL
- 2. Aggregating and Sorting Data in SQL
- 3. Extracting Data from Multiple Tables
- 4. Stacking Data with UNION Command
- 5. Extending SQL Queries Using Operators
- 6. Using SQL Subqueries
Assignments
1
Assignment
- SQL Coding Assignment
2
Readings
- Week 3 SQL Assignment Answer Key
- You can now start part 3 of the final assignment!
Discussions
1
Discussions
- Advantages and shortcomings of accessing data using SQL
Introduction
1
Videos
- 0. Introduction to Real World Analytical Orgs
1
Readings
- Week 4 Lecture Slides
Analytic Organizations - Roles and Structures
2
Videos
- 1. Analytical Organizations – Roles
- 2. Analytical Organizations – Structures
Analytic Organizations - Support Processes
3
Videos
- 3. Data Governance
- 4. Data Privacy
- 5. Data Quality
Assignments
1
Assignment
- Week 4 Quiz
1
Peer Review
- Final Course Assignment
1
Readings
- Week 4 Quiz Answer Key
Discussions
2
Discussions
- Issues with roles and organizational structures around analytics
- Data privacy issues
Auto Summary
Unlock the fundamentals of data analytics in the business world with Coursera's "Introduction to Data Analytics for Business." Designed for beginners, this foundational course covers the analytical process, data creation, storage, and access, equipping you with essential skills to thrive in your organization. Taught by industry experts, the course spans 12 hours and offers flexible subscription options, including Starter, Paid, and Professional plans. Ideal for aspiring data scientists and business professionals looking to enhance their analytical prowess.

David Torgerson