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
This course is part of Developing Industrial Internet of Things Specialization
Instructor: David Sluiter
Sponsored by PTT Global Chemical
8,224 already enrolled
(106 reviews)
What you'll learn
How to staff, plan and execute a project.
How to build a bill of materials for a product.
How to calibrate sensors and validate sensor measurements.
How hard drives and solid state drives operate.
Skills you'll gain
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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 perform a product tear down, write a paper about your tear down and build a bill of materials (BOM) for that product.
What's included
12 videos2 readings1 assignment1 peer review1 discussion prompt
In this module you will learn about sensors, and in this case, a temperature sensor. You will learn how to calibrate and then validate that a temperature sensor is producing accurate results. We will study how data is stored on hard drives and solid state drives. We will take a brief look at file systems used to store large data sets.
What's included
16 videos1 assignment
In this module we look at machine learning (ML), what it is and how it works. We take a look at a couple 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 IIoT space.
What's included
22 videos1 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 ML exercise.
What's included
19 videos1 assignment
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Reviewed on Feb 26, 2022
Brilliant course! A must for all the budding IoT professionals. Thanks Prof David, The University of Colorado and Coursera.
Reviewed on Apr 1, 2019
quizzes can be tougher.
Reviewed on May 15, 2020
Got good idea about predictive analysis and ML concepts used in IoT design
Recommended if you're interested in Computer Science
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