Description

Curriculum

Module 1: Data Visualisation

What is data visualisation?, Importance of data visualisation from the given data set,  Types of data,  Visual encodings, Visualisation timings, Strategies for illustrating trends and results-Sample  data Visualisation Exercise

Module 2: Designing of Data Visualisation

Fundamentals of designing of data visualisation, Design process for data visualisation, Data Visualisation Patterns, Tools Used for Data Visualisation, Challenges in the Process of Data Visualisation, Tufte’s Design Rules-Presentation and Discussion of Data Visualisation.

Module 3: Statistical Modelling in Data Visualisation

Define Statistical Modelling, Predictive modelling using visualisation, Data Visualisation Model techniques, Relevance of data manipulation techniques in data visualisation.

Module 4: Data Visualisation Using Tableau

Define Tableau Products for Data Visualisation, Connecting Database Table with Tableau, Operations on Data, Creation of Interactive Data Visualisations.

Module 5: Applications of Data Visualisations

Use of visualisation tools in e-commerce, Application of Big Data for e-commerce companies

Learning Outcomes

• Assess the concept of visualisation timings
• Apply Tufte’s design rules
• Perform predictive modelling using visualization
• Connect database with Tableau
• Apply visualisation tools in e-commerce

Who Should Attend?

• Engineering and IT students
• Graduates with a programming background

Job Prospects

• Product Manager
• Health Plan Analyst
• Data Analyst
• ETL Developer
• Big Data Developer

After completing this course and successfully passing the certification examination, the student will be awarded the “Data Visualisation” certification.

If a learner chooses not to take up the examination, they will still get a 'Participation Certificate'.