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Project Planning and Machine Learning

This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This is part 2 of the specialization. In this course students will 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

* How basic file systems operate, and types of file systems used to store big data

* How machine learning algorithms work - a basic introduction

This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This is part 2 of the specialization. In this course students will 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

* How basic file systems operate, and types of file systems used to store big data

* How machine learning algorithms work - a basic introduction

* Why we want to study big data and how to prepare data for machine learning algorithms

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What's inside

Syllabus

Project Planning and Staffing

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.

Sensors and File Systems

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.

Machine Learning

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.

Big Data Analytics

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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by David Sluiter, who has experience in product planning, staffing and execution

Teaches about machine learning, which is highly relevant in industry

Provides hands-on labs and interactive materials

Part of a specialization, which indicates comprehensiveness and detail

Requires students to come in with extensive background knowledge

Explicitly advises students to take other courses first as prerequisites

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Reviews summary

Machine learning project planning

According to students, Project Planning and Machine Learning is a good course with knowledgeable content and engaging assignments. Many learners say the course is well-paced and easy to follow, while others find the course to be challenging and time intensive. Overall, most students recommend this course to budding IoT professionals.

Recommended for IoT Professionals

"Awsomw Materials and Explanations. Dedicatedly you ve to preparare if you wants to improvizing yourself. Thanks by Sam."

"Brilliant course! A must for all the budding IoT professionals."

Knowledgeable and Well-paced

"Excellent course, great introduction to this topic with some nice examples. "

"It was a good course to get a background and basic clearing while developing IIoT projects..."

"Very well designed and delivered Course. Thank you for the opportunity."

Challenging Course

"quizzes can be tougher.great course!100% history oriented."

"It,s general talk and not focused on the main topic industrial IOT"

"As IoT includes a lot of pratical challenge. i prefer that the session became a case studies other than lectures"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Project Planning and Machine Learning with these activities:

Organize and review your notes, assignments, and quizzes

Show steps

Organizing and reviewing your notes, assignments, and quizzes will help you identify any areas where you need additional support.

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Gather your notes, assignments, and quizzes.
Organize your materials into a logical order.
Review your materials to identify any areas where you need additional support.

Read 'Big Data: A Revolution That Will Transform How We Live, Work, and Think' by Viktor Mayer-Schönberger and Kenneth Cukier

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Reading 'Big Data: A Revolution That Will Transform How We Live, Work, and Think' will provide you with a comprehensive overview of the field of big data.

View Reinventing Capitalism in the Age of Big Data on Amazon

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Review basic file system concepts

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Refreshing your knowledge of basic file system concepts will provide a foundation for understanding more advanced topics in this course.

Browse courses on File Systems

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Ten other activities

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Show all 13 activities

Arduino Tutorials

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Start learning or refine your knowledge of Arduino programming by going through online tutorials.

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Find an online tutorial that covers the basics of Arduino programming.
Follow the tutorial step-by-step and build the projects.
Experiment with the code and try to understand how it works.

Study group discussions

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Engage in discussions with your peers to clarify concepts and reinforce learning.

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Form a study group with other students in the course.
Meet regularly to discuss the course material.
Work together to solve problems and answer questions.

Practice hardware staffing scenarios

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Practice hardware staffing scenarios to reinforce your understanding of hardware management principles.

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Identify the staffing requirements for a hardware project.
Develop a staffing plan for a hardware project.
Execute a staffing plan for a hardware project.

Sensor calibration exercises

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Improve your understanding of sensor calibration by performing exercises.

Browse courses on Sensor Calibration

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Set up a temperature sensor and connect it to a microcontroller.
Write a program to read the sensor data.
Calibrate the sensor using a known temperature source.
Verify the calibration by measuring the temperature of a known object.

Follow tutorials on sensor calibration

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Follow tutorials on sensor calibration to gain hands-on experience in calibrating sensors and verifying measurements.

Browse courses on Sensor Calibration

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Find tutorials on sensor calibration.
Follow the steps in the tutorials to calibrate a sensor.
Validate the accuracy of the sensor measurements.

Write a blog post on a sensor-related topic

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Enhance your understanding by writing a blog post on a sensor-related topic of your interest from the course.

Browse courses on Sensor Applications

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Choose a sensor-related topic that you are interested in.
Research the topic and gather information.
Write a blog post that explains the topic in a clear and concise way.
Share your blog post with others.

Attend a workshop on big data analytics

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Attending a workshop on big data analytics will provide you with hands-on experience in working with big data.

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Find a big data analytics workshop.
Register for the workshop.
Attend the workshop.

Build a sensor-based project

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Solidify your understanding of sensors and project building by working on a sensor-based project.

Browse courses on Sensor Applications

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Choose a project idea that involves using sensors.
Design the hardware and software for the project.
Build the project and test it.
Document your project and share it with others.

Solve machine learning exercises

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Solving machine learning exercises will improve your ability to apply machine learning concepts and techniques.

Browse courses on Machine Learning Algorithms

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Find a set of machine learning exercises.
Solve the exercises using the provided Python or R code.
Analyze the results of your solutions.

Develop a data preparation plan for a big data analytics project

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Developing a data preparation plan for a big data analytics project will enhance your skills in handling and preparing large datasets.

Browse courses on Data Preparation

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Identify the data sources for your project.
Determine the data cleaning and transformation techniques you will use.
Create a data preparation plan that outlines your steps.
Implement your data preparation plan.

Career center

Learners who complete Project Planning and Machine Learning will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers build and maintain the machine learning models that power everything from self-driving cars to fraud detection systems. This course can help you develop the skills you need to succeed in this field, including machine learning, project planning, and data analytics. You'll learn how to design, develop, and test machine learning models, as well as how to work with other engineers to build complex systems.

See salaries and explore the career path for Machine Learning Engineer

Machine Learning Manager

Machine Learning Managers lead teams of machine learning engineers and oversee the development and deployment of machine learning models. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to manage teams of machine learning engineers, develop and deploy machine learning models, and communicate the results of machine learning projects to stakeholders.

See salaries and explore the career path for Machine Learning Manager

Data Science Manager

Data Science Managers lead teams of data scientists and oversee the development and deployment of machine learning models. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to manage teams of data scientists, develop and deploy machine learning models, and communicate the results of data science projects to stakeholders.

See salaries and explore the career path for Data Science Manager

Software Engineer

Software Engineers build and maintain the software that powers everything from websites to mobile apps to self-driving cars. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to design, develop, and test software, as well as how to work with other engineers to build complex systems.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts use data to solve problems and make decisions. They work in a variety of industries, including finance, healthcare, and manufacturing. This course can help you develop the skills you need to succeed in this field, including machine learning, data analytics, and project planning. You'll learn how to collect, clean, and analyze data, as well as how to build and deploy machine learning models.

See salaries and explore the career path for Data Analyst

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project scope, develop project plans, and manage project risks. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to define project scope, develop project plans, and manage project risks.

See salaries and explore the career path for Project Manager

Data Scientist

Data Scientists use data to solve problems and make decisions. They work in a variety of industries, including finance, healthcare, and manufacturing. This course can help you develop the skills you need to succeed in this field, including machine learning, data analytics, and project planning. You'll learn how to collect, clean, and analyze data, as well as how to build and deploy machine learning models.

See salaries and explore the career path for Data Scientist

Operations Research Analyst

Operations Research Analysts use data to solve problems and make decisions in a variety of industries, including finance, healthcare, and manufacturing. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to collect, clean, and analyze data, as well as how to build and deploy machine learning models.

See salaries and explore the career path for Operations Research Analyst

Data Engineer

Data Engineers build and maintain the data infrastructure that powers everything from websites to mobile apps to self-driving cars. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to design, develop, and deploy data pipelines, as well as how to work with other engineers to build complex systems.

See salaries and explore the career path for Data Engineer

Software Architect

Software Architects design and build the software systems that power everything from websites to mobile apps to self-driving cars. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to design, develop, and test software systems, as well as how to work with other engineers to build complex systems.

See salaries and explore the career path for Software Architect

Product Development Manager

Product Development Managers lead teams of engineers and designers to develop new products. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to define product requirements, manage product development, and launch new products.

See salaries and explore the career path for Product Development Manager

Business Analyst

Business Analysts use data to help businesses make better decisions. They work with stakeholders to identify business needs, analyze data, and develop recommendations. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to define business requirements, analyze data, and develop recommendations.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to evaluate investments and make recommendations to clients. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to collect, clean, and analyze data, as well as how to build and deploy machine learning models.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers are responsible for the planning, development, and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to define product requirements, manage product development, and launch new products.

See salaries and explore the career path for Product Manager

Consultant

Consultants use their expertise to help clients solve problems and make decisions. This course can help you develop the skills you need to succeed in this field, including project planning, machine learning, and data analytics. You'll learn how to define client needs, develop solutions, and communicate your findings to stakeholders.

See salaries and explore the career path for Consultant

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Project Planning and Machine Learning.