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Course Schedule Course Schedule

Data Visualisation: Approaches and Techniques

Partial Date: 2017CE Aug 30th to 2017CE Sep 1st
Issued By

Course Description

Building narratives using various forms of data is a critical component of research and consulting. However, researchers and consultants often face challenges in the process of understanding how certain data can be communicated such that it is relevant to specific requirements. Effectively communicating complex information, using diverse media is also not a trivial task.

This comprehensive programme will highlight the importance of communicating data effectively in the context of the consultancy organizations. Through this programme, staff at various levels will be trained to prioritize and structure information, and build and share narratives around their data, using a structured process.

The course will familiarise learners with communication protocols of data as well as contemporary tools in data analysis and visualisation, with cases, examples and live exercises. At the end of the course, learners will be equipped to work with spatial, quantitative and qualitative data to create simple, comprehensible and compelling narratives, in different forms, such as analytics and dashboards.

Learning Outcomes

  • Ability to build narratives using different forms of data
  • Understanding principles of graphical excellence and communication
  • Hands-on training of tools for analysing and creating spatial, quantitative and qualitative graphics
  • Skills to integrate spatial and quantitative tools for visualisation and analysis
  • Gaining experience in tools such as Microsoft Office, Google Earth, etc.

Learner Profile/ Who Can Apply

ULB staff, researchers, analysts and data consultants working with data analysis, and professionals in the field of data visualisation.

Learner Prerequisites

Basic level of comfort working with datasets in Excel or other spreadsheet software.

Format and duration

The course is broadly structured around 3 modules over three days:

  1. Principles of Data Visualisation
  2. Quantitative Data Visualisation with insights from Qualitative and Spatial inputs
  3. Building Narratives in different forms

Course Fee

Professionals – INR 9000/-
Students – INR 6500/-

Early Bird Offer*
(*Apply and pay the course fee before 15 August 2017)

Discounted Price for Professionals – INR 7000/-
Discounted Price for Students – INR 5000/-

Last date for application and payment of fees – 21 August 2017

For further details contact Prashanth on +91 98849 51580/