A Hands-on Introduction to Internet of Things (IoT)

This introductory course will delve into the exciting field of Internet of Things. Learn Sensors Networking, Security, Data Formats, Protocols, Data Processing, Stream Processors, Ingestors & much more in 2 days

Start Date


End Date




Timings (Pacific Time)


20 billion devices globally will be connected and generating data this year, according to Gartner. The Internet of Things is no longer a new concept; it has become more and more ubiquitous in industry such as transport and energy networks, health and fitness monitoring, marketing tracking, and more. But still not many businesses understand how build an IoT pipeline end-to-end and properly utilize the data these devices generate to their advantage.  These connected devices, sometimes referred to as Internet of Things (IoTs) range from personal gadgets like mobile phones and wearables to home appliance and automobiles. As industries rely more and more on automation, we will see industrial equipment rely more and more on sensor data coming from smartphones, wearables, home appliances, automobiles, and more.This introductory course will delve into the exciting field of Internet of Things, with hand-on practical walk-through on setting up IoT applications end-to-end and analyzing the data generating from devices. We will start with a gentle introduction, understand the architecture of an IoT application and build working prototypes for different industries. We will also discuss the pertinent legal, ethical, security and data governance issues.
unm 1 » Data Science Dojo

UNM Continuing Education

Get a data science certificate backed by an accredited university.
Eligible for special financing options including WIOA.

The Course Includes

  • The current landscape of IoTs and what lies in the near future
  • The architecture of an IoT application: Sensors, hardware, communication, networking, security, data formats, protocols, and data processing
  • How data flows in data pipeline: Ingestors, Stream Processors, AWS, Azure, etc
  • The possible security, privacy, encryption issues with the IoTs
  • Innovation in artificial intelligence, sensors, and IoT chips
  • Ethical, legal and governance issues in IoTs
  • Event log mining
  • Writing temporal queries
  • Time Series Forecasting on IoT data
  • Overview of networking protocols for IoT
  • Overview of data protocols for IoT


Attendees pick an IoT application from the following tracks:

  • Real-time analysis of a simulated credit card data stream
  • Real-time sentiment analysis for Twitter stream
  • Real-time analytics on motion sensing data emitted by a smart phone
  • Attendees pick an IoT application from the following tracks:


  1. Agriculture: Real-time monitoring of air temperature, humidity, and other environmental factors that impact farming decisions
  2. Transportation: Real-time tracking of vehicle counts which impact traffic management and congestion alleviation
  3. In-home care: Real-time monitoring of body movement, balance and other factors that are telling of when an elderly could about to experience a fall at home
Who should attend?

This 2-day course is open for all working professionals who want to get hands-on, real-world, practical learning on IoTs.

Program Requirements

You should have an interest in data science and data engineering. Having programming experience is not a pre-requisite for enrollment in this course.

Globally Trusted By Leading Companies

Data Science Dojo is one of the most trusted names in analytics and data science learning. More than 1600 companies have trusted us for their data science learning needs

Data Science Dojo Success Stories

We have helped thousands of working professionals to differentiate themselves in a competitive job market.

The roadmap laid by Data Science Dojo has been able to help fuel my growth which in turn fuels the growth of my company.

Learn more.

Patrick Butler

Digital Marketing Strategist, 2060 Digital

Video Thumbnail
Patrick Butler

Meet Your Instructors

Our Instructors & mentors team consists of outstanding practicing data scientists. All mentors and instructors in our team come from our closely-knit and trusted network of data science professionals.

Posts not found

Our Alumni Love Us

Javier Beverinotti - Inter-American Development Bank

This bootcamp is excellent. I recommend it 100%. The professor in charge is very patient and he really knows the topics. A great experience.

Javier Beverinotti
Lead Economist

Ottmar Figueroa R. - IOM - UN Migration

Very comprehensive, excellent balance of theoretical understanding (the why behind the how) and practical application of concepts. Congratulations to all the team making the online cohort happen, it was a GREAT experience!

Ottmar Figueroa R.
Senior ICT Officer a.i. - Data Analytics and Business Intelligence

Andrew Choi - Care1st Health Plan

It was a great experience for increasing the expertise on data science. The abstract concepts were explained well and always focused on real applications and business cases. The pace was adjusted as needed to let everyone follow the topics. Week was intense as there are many topics to cover but schedule was well managed to optimize people attention

Andrew Choi
Program Analyst

Zainab Al Lawati - Petroleum Development Oman

It was the best training I've ever attended. The 5 days were packed with knowledge, great discussion, and hands-on experience. The learnings were also solidified by the additional exercises provided for practice. Despite the fast pace and the intensity, it was easy to follow and never boring :D

Zainab Al Lawati
Software Engineer

Chee Tong Leow - Apple

Very insightful course and actionable immediately after taking the course to start exploring my ML model.

Chee Tong Leow
Senior IT Manager

Rockel Marquis - MedStar Health

This training was an all around great experience. Data Science, Data Engineering and Machine Learning are complex but this training was presented in a way that anyone with basic business or technical skills can easily understand and apply the concepts.

Rockel Marquis
Ambulatory Data & Reporting Analyst

Emmanuel Tachie-Menson - ARB Apex Bank Ltd

I would absolutely recommend this bootcamp for pretty much anyone who works, even in a bank, because I just think that the content is fabulous. You just get to understand the whole landscape in data science. I would absolutely recommend Data Science Dojo!

Emmanuel Tachie-Menson
System Analyst

Harris Thamby - Microsoft

It was a great experience for increasing the expertise on data science. The abstract concepts were explained well and always focused on real applications and business cases. The pace was adjusted as needed to let everyone follow the topics. Week was intense as there are many topics to cover but schedule was well managed to optimize people attention.

Harris Thamby

Akshita Garg - Microsoft

I liked that the home works were not too hectic and the topics were covered in such a simple language which was very well understandable. I really loved the overall training and the way concepts were covered in such a short time.

Akshita Garg
Program Manager

Emily Paynter - Hamilton Medical Center

As a complete beginner, I was a little nervous that I would be behind or lost. The information was presented in such a way that is accessible to everyone. I feel like I completed an entire semester course in only 5 days. This was a great bootcamp!

Emily Paynter

Andrew Donate - United States Air Force

Excellent training! If you truly want to learn about data science and machine learning, this is the program to attend!

Andrew Donate

Edwin Agbenyega - University of New Mexico

I appreciate how much effort was placed in making the resources available. All the teachers and assistants were very helpful and took time to address all the problems we had. It was also a very practical bootcamp since we got to participate in a kaggle datascience contest during the week. Overall, this was an awesome bootcamp!!

Edwin Agbenyega
Institutional Researcher

Robert Taylor - University of New Mexico

I attended the Data Science Dojo data science bootcamp in Albuquerque, NM in October 2019. This was an outstanding learning experience.

Robert Taylor
Research Scientist 3 - Clinical and Translational Research

Sarun Prabhat Luitel - University of New Mexico

I had taken ML and AI in Undergrad and looking at the curriculum made me wonder.. how can 2 semesters worth of class fit in 5 days? I'll tell you .. you focus on theory and directly use off the shelf library and have learnt enough to command the parameters.

Sarun Prabhat Luitel
Programmer Analyst

Daniel De Francisco Cabral - University of New Mexico

I really liked it. It exposes you to many different tools and the online material is great.

Daniel De Francisco Cabral

Jeff Smith - Genentech

One of the best training courses I've ever taken. Great organization of the content, presentation of the material, and access for post-bootcamp support.

Jeff Smith
Product Manager
Get in touch
Feel free to ask any questions or comments you may have and we’ll get back to you within one business day.
letter icon 1 1 » Data Science Dojo
Alternatively, you can also reach out to us on phone or email