Products don't design and build themselves. In this course, students learn how to staff, plan and execute a project to build a product. We explore sensors, which produce tremendous volumes of data, and then storage devices and file systems for storing big data. Finally, we study machine learning and big data analytics.
Project Planning and Machine Learning
Project Planning and Machine Learning
This course is part of Developing Industrial Internet of Things Specialization
Instructor: David Sluiter
9,718 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(114 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 13 hours
Learn at your own pace
Build toward a degree
What you'll learn
Create a plan to staff and execute a project to a schedule.
Create and calibrate sensor systems. Describe how hard drives and solid state drives operate. Describe how file systems for big data work.
Describe the basic operation of today's machine learning algorithms.
Describe the basics of big data analytics.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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This course is part of the Developing Industrial Internet of Things 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
In this module I share with you my experience in product planning, staffing and execution. You will learn about the importance of first defining requirements, second performing the design work first, and then lastly writing the code.
What's included
8 videos2 readings1 assignment1 discussion prompt
In this module you will learn about sensors, and specifically a temperature sensor. You will learn how to calibrate a temperature sensor system, which helps you measure and improve the accuracy of that system. You will learn how data is stored on hard drives and solid state drives. You will learn about 3 file systems that are used to store large data sets, which are often referred to as "Big Data".
What's included
7 videos1 assignment
In this module we look at machine learning (ML), what it is and how it works. You will learn about several supervised learning algorithms and 1 unsupervised learning algorithm. No coding is required of you. Instead I provide working source code to you so you can play around with these algorithms. I wrap up by providing some examples of how ML can be used in the Industrial IoT space.
What's included
10 videos10 readings1 assignment
In this module you will learn about big data and why we want to study it. You will learn about issues that can arise with a data set and the importance of properly preparing data prior to a Machine Learning exercise.
What's included
9 videos4 readings1 assignment
Instructor
Instructor ratings
4.7 (28 ratings)Offered by
Recommended if you're interested in Design and Product
Amazon Web Services
University of Colorado Boulder
University of Colorado Boulder
University of Colorado Boulder
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.7
114 reviews
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3.47%
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Showing 3 of 114
AN
5
Reviewed on Jun 2, 2020
It was a good course to get a background and basic clearing while developing IIoT projects...
AB
4
Reviewed on Apr 1, 2019
quizzes can be tougher.great course!100% history oriented.
M
5
Reviewed on Feb 26, 2022
Brilliant course! A must for all the budding IoT professionals. Thanks Prof David, The University of Colorado and Coursera.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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