DATA SCIENCE FOR IOT Training and Certification | Online and Classroom Training

What our clients say

"I've been to a different training facilities for other technologies, and this is one of the few where I've left feeling like I've learned more than I expected.
Eduardo Moreno, USA

DATA SCIENCE FOR IOT

Training is focused on use cases in each IoT vertical (Wearables, Healthcare, Manufacturing, Retail, Supply chain, Smart energy, Smart cities, Smart Home, Connected Cars) and solutions using algorithms based on data, build models and predictions (machine learning).

Who Should Do ?

Bachelor Of Technology, Bachelor Of Engineering, Bachelor Of Science, Bachelor Of Computer Application, Master Of Technology, Master Of Engineering, Master Of Science, Master Of Computer Application.

Modules Covered in the Course

An overview of Data Science

What is Data Science? What problems can be solved using Data science - Extracting meaning from Data - Statistical processes behind Data - Techniques to acquire data (ex APIs) - Handling large scale data - Big Data fundamentals

Hadoop Fundamentals

Introduction to the Hadoop ecosystem - SQL NoSQL

Data Science and IoT

The IoT ecosystem
Unique considerations for the IoT ecosystem - Addressing IoT problems in Data science (time series data, enterprise IoT edge computing, real-time processing, cognitive computing, image processing, introduction to deep learning algorithms, geospatial analysis for IoT/managing massive geographic scale, strategies for integration with hardware, sensor fusion)

IoT datasets

An exploration of IoT datasets and APIs by application: Healthcare
Manufacturing
wearables
Energy Connected Cars etc

Developing for IoT devices

Design and development of a typical IoT solution from the perspective of the flow of Data

Mathematical foundations of Machine Learning algorithms

Linear Algebra including Matrix algebra
Bayesian Statistics
Optimization techniques (such as Gradient descent) etc

Machine Learning techniques and algorithms

Supervised algorithms
unsupervised algorithms (classification, regression, clustering, dimensionality reduction etc).

Python Programming

In this phase, we use our Python based platform and a unique methodology. We use Python based tools and libraries like the iPython notebook
the Anaconda distribution
sci-kit learn
Pandas and Wakari

Platforms and Projects

Design and development of sample project using above skills. Here, you work with specific commercial platforms (MapR, MongoDB etc) and IoT related projects. We use the platforms like MapR to study the evolution of Hadoop as applicable to IoT (stream processing, in-memory processing, Spark, Storm and its variants beyond map reduce) and SQL. In this phase, we work with projects based on the platforms