You will learn how to understand the type of data you have (or want to create).
Describe the data using numbers and graphs to communicate with your audience.
You will practice using probability and distributions to understand the fundamental nature of your data.
You will learn to make decisions and solve problems in ways that increase the likelihood of a desired outcome.
You will explore how to determine best and worst-case scenarios using data.
You will acquire data analysis skills to answer business and engineering questions.
Academic credits
This specialization can be used to earn academic credits toward CU Boulder’s Master of Science in Data Science (MS-DS) degree.
Offered on the Coursera platform.
The MS-DS is an interdisciplinary degree that unites faculty from the departments of Applied Mathematics, Computer Science, Information Science, and more at CU Boulder.
With performance-based admission and no application process.
The MS-DS is ideal for individuals with a wide range of educational backgrounds and initial degrees and professional experience in computer science, information science, mathematics, and statistics.
You will have the opportunity to go through practical, real-life problems that simulate the challenges and scenarios you will encounter in a professional setting.
These problems will not only help reinforce what you have learned but will also give you an opportunity to apply your new skills and knowledge in a practical context.
Details of the courses that make up the specialization
Definition, description and visualization of data
Course 1 • 9 hours
Course Details
What you’ll learn
Categorize data types with measurement scales
To calculate descriptive statistics and create graphical representations using R software
Solve problems and make decisions using probability distributions
Skills you will acquire
Category: Probability and Statistics
Category: Data-driven decision making
Category: Data Analysis
Category: Data visualization
Category: Decision Making in Engineering
Data acquisition, risk and estimation
Course 2 • 8 hours
Course Details
What you’ll learn
Create a plan to answer business and engineering questions.
To calculate effect size, power, and sample size to reduce risk in decision making.
Distinguish between optimal and harmful scenarios based on point and interval estimates.
Skills you will acquire
Category: Data-driven decision making
Category: Data Analysis
Category: Estimate
Category: Statistical inference
Category: Business Analysis
Data-driven decision making
Course 3 • 12 hours • 4.9 (14 ratings)
Course Details
What you’ll learn
Analyze data to answer business and engineering questions.
Perform statistical tests to determine changes and differences.
Perform statistical tests to determine relationships.
