We all want to enhance our lifes with the use of a smart coffee maker which makes coffee for us when we Iike to have one or a smart thermostat which know what temperature we want at a given time.
Though these things seems to be enhancing our lifestyle, Internet of Things is much more than a network of smart devices, its the amount of direct data they produce makes them more interesting. IoT creates brand-new data and information which we never had access before.
IoT analytics applications can help companies understand the Internet of Things data at their disposal, which can be used in reducing maintenance costs, avoiding equipment failures and improving business operations. In order to make sense out of all that data, companies are going to need skilled analysts.
Join this course to understand how to manage IoT data and bring out information for it to make decisions.
“Information is a great way to reduce waste and increase efficiency, and thats what Internet of Things provides” - Kevin Ashton
The main objective of this course is to train you in Device Data Collection, IoT databases and working with stream analysis along with traditional Data Science technique. After teaching more than 500 professionals and IoT enthusiasts in the Beginner's IoT course in less than six months and putting together our expertise in IoT and use of data science, Frugal Labs have come up with this course which totally focuses on IoT data and its analysis.
This course will be taught and guided by the core team of Frugal Labs experienced of IoT and Data Sciences.
This course will be held over the period of 4 weeks, and will include:
Each video module is pre-taped, enabling you to complete it any time before the assigned due date. While you may complete all the assignments in rapid succession, most participants find it beneficial to adhere to the weekly schedule and participate in online discussion forums along the way. There are approximately two-three hours of video every week and you will likely spend an average of four to six hours a week on course-related activities.
A ticket based support system is available on which the participant can raise his or her doubts which will be resolved using email/phone and video call (Skype or Hangout) which ever will be suitable.
|New Data Source - IoT|
|Introduction to IoT Analytics, Asking new question from data|
|Managing IoT data|
|IoT Time Series Data Storage (InfluxDB)||Overview of InfluxDB databases, Environment Setup, Data Modelling, Schema Design, Deployment|
|Python Client for InfluxDB||Python API, Exeptions, Query Response Object|
|Analysis for IoT Data|
|Properties and Objectives||Fast Data Ingestion, Real-Time Streaming Analytics, Historical Analytics, Predictive Analytics, Prescriptive Analytics, Intelligent Actions|
|Data Analysis Tool (Pandas)||Python Environment Configuration and Features, NumPy Basics, Getting Started with Pandas, Data Loading, Storage and File Formats, Data Wrangling, Plotting and Visualization, Data Aggregation and Group Operations, Time Series|
|Model Discussions Along with Use Cases|
|Smart Home, Smart Agriculture, Smart Retail Supply, Smart Healthcare, Smart Grid*, Smart Cities*|
Participants should have working knowledge of :
If the above conditions are not met, it is recommended that you join our Beginner's IoT Course first, or continue at your own expense.
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