IoT with Data Analytics for Industry

Internet of Things (IoT) generates a huge amount of data or big data. Managing the flow and storage of this data is a tedious task for enterprises. Cloud computing with its different models and implementation platforms help companies to manage and

  • Duration : 7 Weekend
  • English


IoT with Data Analytics for Industry
  • Online Bootcamp

    Learners

    5324+

  • Online Bootcamp

    Companies

    628+

  • Online Bootcamp

    No. of Openings

    2187+

  • Online Bootcamp

    Ranking

    1

Course Overview

  • IoT products are trending now. In near future mostly all devices and appliances will have sensor data collection/management based on Clouds.
  • In today’s tech era, it has become crucial to have knowledge of the core technologies and platforms of IoT ,Data analytics, Clouds. With these trending technologies one can become a true leader in the future product and business world.
  • This course will provide the deep knowledge about the start-of-the-art IoT, sensor networks ,  Data Analysis -The purpose and elements of an analysis plan ,Identify appropriate data, data collection methods and Cloud technologies.
  • Also, you’ll get hands-on projects to teach you how to interface hardware components with cloud platform, Monitor and control the devices from the cloud and also do analysis from the cloud data.

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Course Content

  • Lecture: 01
    What is the IoT and why is it important? Evolution of IOT
  • Lecture: 02
    Components of IOT System
  • Lecture: 03
    IoT applications for Environmental monitoring, Smart farming, Smart Agriculture, Smart objects and smart applications.
  • Lecture: 04
    Sensors (Input Device) -Principle and Working with examples.
  • Lecture: 05
    Actuators(Output Device) -Principle and Working with examples
  • Lecture: 06
    Controller/IoT Development Kit -Arduino controller- Node MCU-ESP8266 - Raspberry pi.
  • Lecture: 07
    IoT proposed layers Architecture.
  • Lecture: 01
    Input and Output Function
  • Lecture: 02
    Data types
  • Lecture: 03
    Variables
  • Lecture: 04
    C-Tokens
  • Lecture: 05
    Operators and types
  • Lecture: 06
    Conditional Statement
  • Lecture: 07
    Loop
  • Lecture: 01
    Arduino -Hardware Description, IDE Installation
  • Lecture: 02
    Basics of Tinkercad Circuits
  • Lecture: 03
    How to write the sketch
  • Lecture: 04
    Functions to write the sketch
  • Lecture: 05
    Hands ON with tinkercad tool
  • Lecture: 01
    Cloud computing
  • Lecture: 02
    Cloud types
  • Lecture: 03
    Cloud Services
  • Lecture: 04
    Introduction about AWS, Microsoft Azure, Google Cloud
  • Lecture: 05
    IoT Open-source Cloud platforms
  • Lecture: 06
    Blynk,Ubidots,Thingspeak,and KaaIoT
  • Lecture: 01
    IoT Network protocols.
  • Lecture: 02
    IoT Data Protocols
  • Lecture: 03
    IoT – Security
  • Lecture: 01
    Simple Home automation with NodeMCU&Blynk cloud App
  • Lecture: 02
    Pollution Monitoring with NodeMCU&Ubidots Cloud
  • Lecture: 03
    Flame Detection using NodeMCU
  • Lecture: 04
    Weather Reporting Station with NodeMCU&Ubidots Cloud
  • Lecture: 01
    Python Setup & Installation
  • Lecture: 02
    Anaconda Setup & Installation
  • Lecture: 03
    Python Basics
  • Lecture: 04
    Variables and Assignment
  • Lecture: 05
    Basic Data Types
  • Lecture: 06
    Comments and Math Operators
  • Lecture: 07
    Programming Challenge- User Exercise
  • Lecture: 01
    Introduction to Data Analysis
  • Lecture: 02
    Data Analysis tools
  • Lecture: 03
    Analysis method
  • Lecture: 04
    Statistics method
  • Lecture: 05
    Data visualizing tools
  • Lecture: 01
    Data set types-Series
  • Lecture: 02
    Data Frame
  • Lecture: 03
    Panel-Read Excel file, Read CSV file
  • Lecture: 04
    Data Pre-processing–Fill missing value
  • Lecture: 05
    Find the data mean-median-mode-min value-maximum value-standard deviation.
  • Lecture: 01
    Data Visualization
  • Lecture: 02
    Bar chart
  • Lecture: 03
    Pie chart
  • Lecture: 04
    Histogram.
  • Lecture: 01
    Using the data collected, class prediction with Regression and Classification will be done
  • Lecture: 02
    Sci-Kit learn – Creating models like Linear regress, Logistic regression, Support Vector Machine, K-Nearest Neighbor, Decision Tree and Random forest for data prediction and classification.
  • Lecture: 03
    Keras/Tensorflow – Creating Deep Neural Network for predicting data even more accurate.
  • Lecture: 01
    Air pollution Sensor data Analysis and Classification
  • Lecture: 02
    Data Analysis for Weather Reporting Station and Classification
  • Lecture: 03
    Simple linear Regression(SLR) with IoT any sensor data

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Batch Details

Duration : 7 Weekends

New batch starts soon!

Who can Attend

  • IoT Engineers
  • Tech Managers and Team Leaders
  • Working Professionals who wants to change their career to IoT
  • Working Professional who wants to upskill in IoT
  • Entrepreneurs
  • College Faculties
  • Job Seekers
  • Freshers
  • College Students
  • Anyone who wants to learn about IoT and Cloud
  • Anyone who wants to begin a start-up related with AI and ML Technology

Pre-requisites

  • Basic level of programming knowledge necessary
  • Access to a personal computer or equivalent system
  • Internet access to download the necessary software

Training Outcome

  • IoT Applications
  • IoT Architecture and IoT components
  • Cloud Computing
  • Data analysis
  • IoT Protocols
  • IoT Security
  • Arduino Programming
  • Python Programming
  • Tinkercad tool
  • Data visualizing tools
  • Data set types
  • Pandas
  • Matplotlib

Key Job Roles

  • IoT Engineer
  • Embedded Engineer
  • IoT Product Manager
  • IoT Architect
  • IoT Developer
  • IoT Cloud Engineer
  • Hardware Engineers

CourseCertificate

Skills Covered

  • Fusion of cloud with IoT
  • Data analytics with IoT these are very unique courses with handson practice.
  • Tools Used

    Skilltechnika's Advantage

    Live Interaction

    Live Interaction Session

    Hands-On Practice

    Hands On Practice

    Real Time Project

    Real Time Project

    Curriculum

    Latest Curriculum

    Recorded Session

    Recorded Sessions

    Industry Connects

    Industry Connects

    Peer Learning

    Peer Learning

    Mentor Support

    Mentor Support

    Assessments

    Assessments

    Training Options

    Live Online Session
    15000
    QUICK ENROLLMENT
    15000
    GROUP ENROLLMENT
    Customized to your team's needs