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

Name: Introduction to Internet of Things (IoT) | Data Science Dojo
Brand: Data Science Dojo
SKU: BootcampRegistration|Albuquerque New Mexico 2-day|04-20-2020
Price: 2499.99 USD
Availability: InStock
Rating: 5 (572 reviews)

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

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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.

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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:

Agriculture: Real-time monitoring of air temperature, humidity, and other environmental factors that impact farming decisions
Transportation: Real-time tracking of vehicle counts which impact traffic management and congestion alleviation
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

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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.

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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.

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Chee Tong Leow - Apple

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

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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.

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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.

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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!

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

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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!!

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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.

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So many interesting topics and so little time... but there are so many resources offered for continued learning and it is greatly appreciated.

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