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Self-taught course

Provided by: University Information Services - Digital Literacy Skills


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This course is self taught (Online course).

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Cisco NetAcad: IoT Fundamentals - Big Data and Analytics
OnlineNew

Self-taught course

Description

Architectures and processes of the past are making way for more modern, real-time applications thanks to IoT (Internet of Things) systems and the data they collect. Dynamic data platforms are being built, and our ability to extract data using the latest analytics techniques is growing. So why not gain an edge and increase your employability by learning new skills? Skills such as collecting, storing, and visualizing data obtained from IoT sensors are in high demand. Be one of the few who know how to use data analytics to gain amazing insights from the intelligence produced. Insights that can help businesses make more-informed decisions. Prerequisite: IoT Fundamentals: Connecting Things is recommended.

  • The Big Data & Analytics course builds on Connecting Things, teaching you how to collect, store, and visualise data obtained from IoT sensors. You’ll develop the ability to extract data and use data analytics to gain insights, an extremely valuable skill to employers.
Target audience
  • All current Cambridge University members (departments and colleges)
  • Further details regarding eligibility criteria are available
Prerequisites
Objectives
  • Use Python to create code that reads data from sensors and stores it in a SQL database.
  • Visualize, clean, manipulate and integrate data sets.
  • Learn fundamental principles of Big Data platforms like Hadoop.
  • Use storytelling to present insights gained from extracted data.
How to book

To book on this course use the click on the Book a place (provisional) button. Once the request has been received a Cisco Networking Academy account will be created in your name should you not already have one. You will receive an email containing a link to activate your registration. Thereafter your account will be assigned to the course. For step by step instructions on this process please refer to the online instructions.

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