Data Science for Internet of Things: Practitioners course – modules list

 

 

 

 

 

 

 

 

 

Course URL : Data Science for Internet of Things: Practitioners course

Note that the modules are customizable i.e. as per your personal learning plan – you may choose to do more or less of a specific topic. For example, more Deep Learning vs Sensor fusion. But overall, we will follow this plan.

Overall themes covered in the course

  • IoT
  • Data Science
  • Big Data
  • Machine Learning
  • Deep Learning
  • Sensor fusion
  • Use Cases (application domains) and IoT Datasets
  • Math foundation
  • Time Series
  • IoT stream processing
  • Apache Spark ecosystem
  • Programming (R, Scala, SQL)

Weekly schedule

Concepts

Week 0 Orientation, introductions, Personal learning plans, Platform signup
Week 1 nov 16 Foundations:An analytics Driven Organization – IoT and Machine Learning  - Data Science for IoT – Unique characteristics – Data Science for IoT – why now?
Nov 23 Machine Learning conceptsDeep Learning concepts
Nov 30 An introduction to IoT (Internet of Things)
Dec 7 IoT platforms – From sensor to Cloud
Dec 14 Concepts of Big Data Part One
Dec 21 Concepts of Big Data Part Two
Jan 11 Market drivers for IoT
Jan 18 Choosing a model – what technique to Use?
Jan 25 Use Cases  and IoT datasets (these will continue throughout the course)
Feb 1 Time series and NoSQL databases
Feb 8 Streaming analytics part One
Feb 15 Streaming analytics part two
Feb 22 Deep learning part one
Feb 29 Deep learning part two
Mar 7 Machine learning algorithms – part one
Mar 14 Machine learning algorithms – part two
Mar 21 Mathematical foundations – part one
Mar 28 Mathematical foundations – part two

 

 

Programming

 

Week 0 Orientation, introductions, Personal learning plans, Platform signup
 Nov 16
Nov 23
Nov 30 Intro to R, Installations, Basics of R
Dec 7
Dec 14 Data Frames in R & Tabular Data
Dec 21
Jan 11 Data Processing & Data Visualization in R
Jan 18
Jan 25 Scala basics
Feb 1
Feb 8 Spark batch processing I
Feb 15
Feb 22 Spark Batch Processing II
Feb 29
Mar 7 Spark SQL
Mar 14
Mar 21 Spark Streaming
Mar 28