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IOT and Big Data Analytics Program

ID : 52013   
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IIOT and Big Data Analytics Program ($99) 
March 5-July 2, 2022 : Online Program
Saturdays 9am-11am
*This course is accessible only to students who live in California*
Cañada College at Menlo Park and CISCO Network academy have partnered to offer the Internet of Things (IoT) and Big Data Analytics program, taught by instructor Larry Samuelson.  Are you looking to begin in the data science industry, but don’t know where to start? This program is the perfect introduction to the foundational skills behind data analytics, data science and machine learning. By the end of the program, you will know how to interact with a Raspberry Pi, Google Sheets and Python to analyze data and gain insights. You will also work hands on with your Raspberry Pi and teach it how to capture photos when it detects a smile!
Students will:

  • Use Python to create code that reads data from sensors and stores it in a SQL database.
  • Visualize, clean, manipulate and integrate data sets.
  • Use regression and classification trees to create prediction models.
  • Use storytelling to present insights gained from extracted data.
Earn a CISCO Certification 
Upon completion of this program, students will earn a CISCO certification that they can use on their resume. Students will also earn an additional “not for credit” certificate from Cañada College at Menlo Park.  CISCO Netacad also works with students to offer a service called Talent Bridge, where students can get more information about CISCO jobs internally. In addition to the CISCO certificate, students will also earn an additional “not for credit” certificate from Cañada College at Menlo Park.
Class Materials
Students who enroll in this program will be provided with:
  • Access to the CISCO NetAcad platform
  • A class hardware kit in the mail including 
  1.  Raspberry Pi 3 Model B+ 
  2.  5.1V / 2.5A Micro USB Switching AC Power Supply
  3. Raspberry Pi 3 Model B+ Case
  4. Raspberry Pi Camera Module v2 [8 megapixel, 1080p]
  5. 32 GB microSDHC UHS-I Card 
  6. Card Reader RDF5 USB 3.1 Gen 1

Class meeting Dates and Times
Students will be required to meet for class once a week on Saturdays from 9am-11am via Zoom with their instructor. You will be given the zoom links and syllabus in the week leading up to your first day
Student Requirements
  • Be fluent in conversational English
  • Must be comfortable with algebraic, calculus, stats, or trigonometry math
  • Must have a working computer with a USB port, internet access, and basic calculator 
  • Some experience writing and debugging code is recommended
About the Instructor
Larry Samuelson 
Larry is currently a Technologist in Data Management Engineering at Western Digital.  In a career spanning nearly 37 years, he has been involved in nearly every aspect of magnetic head production, including design, manufacturing operations, and project management.  While participating in these roles, he helped expand and integrate aspects of the data analytics and data science disciplines before they became recognized as a critical part of the business decision process.  He has developed and taught several courses in database management and SQL, statistical methods, predictive modelling, and machine learning.  Larry holds 11 disk drive related patents and is a certified PMP.  
Technical Requirements & Specs
  • A computer running a compatible web browser (see below)
  • Computer with USB port
  • Stable Internet connection (video interaction is not available offline)
  • Speakers/headphones, microphone, and web-camera to hear audio from a computer (videos have subtitles as an alternative) 
  • Lessons can be completed on any desktop computer, smart phone, or tablet
  • Students will also need to ensure they have permission to download the Zoom app to the computer (e.g., if using a loaner or shared computer such as in a library) Supported Web Browsers Google Chrome and Firefox
  • Performance will be suboptimal on Internet Explorer; Windows users should download Chrome or use Microsoft Edge (included in Windows 10)

Questions about registration? Please email the program coordinator

Call 650-574-6149 to register Send to Friend »

Class Details

18 Sessions
Weekly - Sat

NA - Online

Larry Samuelson 



Please read:  Online Saturdays from 9-11AM.



Schedule Information

Date(s) Class Days Times Location Instructor(s)
3/5/2022 - 7/2/2022 Weekly - Sat 09:00 AM - 11:00 AM N/A - Online Larry Samuelson 

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