Data Visualisation: Approaches and Techniques

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Data Visualisation

Programme Date: 30 August – 1 September 2017  |  IIHS Bangalore City Campus

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
Detail Schedule of Course
Session & Time Session Title Topics covered
Day 1
Session I
0930 – 1130
Introduction
  1. What is data visualisation?
  2. The history and evolution of DV
  3. ore DV principles
Session II
1145 – 1300
Exercise: Storytelling using data
  1. Building a narrative using data
  2. Trying to answer what comes first, the story or the data.
Session III
1400 – 1545
Elements of Data Visualisation
  1. Breaking down the dimensions of data
  2. Understanding the uses of visualisation
  3. Elements of graphical representation
Session IV
1600 – 1730
Qualitative Data Visualisation
  1.  What is qualitative data?
  2. How to effectively visualize text & non-quantitative data?
Day 2
Session I
0930 – 1130
Quantitative Data Visualisation I
  1. Introduction to quantitative data
  2. Ways to visualise quantitative data – graphical methods, visual cues
Session II
1145 – 1300
Quantitative Data Visualisation II – working with tools
  1. Preparing quantitative data for visualisation
  2. Hands-on exercise using Excel
Session III
1400 – 1545
Spatial Data Visualisation I
  1. What is GIS and spatial data?
  2. What is spatial DV?
  3. Accessing spatial data sources
Session IV
1600 – 1730
Spatial Data Visualisation II – working with tools
  1. Introduction to Carto, Google Earth and other relevant tools
  2. Hands on exercise
Day 3
Session I
0930-1000
Design principles for Data Visualisation
  1. Design do’s and don’ts
  2. Effective usage of fonts, colours and symbols to create impactful visualisations
Session I
1000 – 1145
Group exercise: Building Narratives Integrating aspects of qualitative, quantitative and spatial DV to make a capstone presentation
Session II
1200 – 1300
Interim presentation to an external panel of experts
Session III
1400 – 1545
Group exercise: Preparing presentations
Session IV
1600 – 1730
Final presentations to external panel of experts
Session V
1730 – 1800
Debrief and course closure
  1.  Feedback
  2. Course completion certificates
Faculty Profiles
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/ prashanthc@iihs.ac.in