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Location Analytics Course

Location data is becoming increasingly available in sensors on the phone. Telecom companies are collecting data on customer location using cell towers. Companies who manage to use Location in their analysis are reaping a lot of benefits. Some of the use cases include digital advertising, data monetisation and customer profiling.

Analysing Location data is not an easy proposition. The challenges include the volume of data and the relevant algorithms to process it. This course lays down the foundation of modern location analytics systems. It talks about the data sources, the processing required and the algorithms needed to create use cases. The use cases span across industries, with a focus on Telecom and Digital Advertising. The Course also has a hands on exercise where you can work on real data to solve an industry problem.


SSG SkillsFuture Credit Applicable for Individual

SSG WSG (WDA) SkillsConnect Training Grant Applicable for Company

Course Code: CRS-N-0042513

Course Booking

$298.00

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1: Evolution of Location Analytics

  • First generation Location Analytics
  • GIS systems
  • Latest Trends in Location Analytics

Module 2: Location Analytics Enablers

  • Understanding Location Sensors
  • Micro location Sensors
  • Understand Open Street Map
  • Indoor Map options

Module 3: Data Processing

  • Understand location data
  • Location data processing steps
  • Location data processing challenges
  • Algorithms needed in Location Analytics
  • Profiling and Segmentation using Location Data
  • Geofencing use cases and implementation

Module 4: Industry Perspective

  • Industry use cases
  • Case Study: Telecom Data monetization
  • Privacy policies and implications

Module 5: Hands on Exercise

  • Building Home and Office detectors
  • Revision and questions

Who Should Attend

  • Digital Marketers
  • Data Analysts
  • Business Development Managers

Prerequisite

Nil

Trainers

Data Science TrainerNirmal Palaparthi is an Analytics professional with 19 years of experience in building practices from ground up in Asia. He has Co-founded and successfully exited from two Analytics companies. The first was Fractal Analytics, India’s leading third party analytics provider and the second: Mobius Innovations, a context awareness platform company, which was acquired for building significant IP.

He has consulted for clients in 15 countries, across Banking, Retail, Telecom, Consumer Product and Enterprise Software verticals and has built digital ecosystems for multiple clients. He has an engineering degree in Computer Science from the Indian Institute of Technology, Madras and an MBA from the Indian Institute of Management, Ahmedabad.

Data Science Trainer
Currently, Abhisek leads the Japan analytics team in Visa Inc. This regional team is focused on developing analytical solutions for Visa. During his six years with Visa, Abhisek has held roles in both the Product Management and Analytics functions and is one of the founding members of Visa Analytics.

Abhisek holds a Master of Statistics from the Indian Statistical Institute, with experience in secured and unsecured lending, campaign management, CLC Management, Credit Risk and BASEL compliance.

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