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Certificate in Quantitative Analysis and Data Visualisation

Join our certificate course to deepen your skills in Data Handling, Analysis and Visualisation using R

The certificate programme in Quantitative Analysis and Data Visualisation aims to enhance the capacity of development sector professionals to analyse, interpret data and communicate findings effectively. With recent advancements in the development sector, there is an immediate need to build adequate capacities to leverage the power of quantitative data analysis for evidence-informed decision-making.

This certificate consists of two courses and aims to build competencies in analysing quantitative data and data visulisation using R.

  • The certificate is offered in a blended mode with 6 days in-person at the Bengaluru campus and 9 online sessions. 
  • Hands-on sessions in learning data handling and visualising quantitative data
  • Course sessions will consist of lectures, hands-on data exercises and assignments. 
  • Each course will have 2 or 3 graded assessments.

Professionals in the development sector, with a working knowledge of excel and a minimum experience of two years, in practice or research. 

Practitioners involved in activities like quantitative monitoring and evaluation of programmes, project design, data collection, analysis, research, among others will benefit from this course. 

Course structure

This course will deal with:

  • Examination and interpretation of development datasets through foundational statistical constructs including variables, measurements, sampling methodologies, and descriptive statistics.
  • Application of inferential statistical techniques (t‑tests, ANOVA, chi-square tests) to derive evidence-based insights from empirical data.
  • Construction of linear regression models to analyse variable relationships determining different development outcomes.
  • Assessment of assumptions of linear regression model through tests of normality, homoscedasticity and multicollinearity.

This course will deal with:

  • Efficient data wrangling and transformation of large-scale development datasets using R.
  • Creating engaging visualisations using specialised packages in R.
  • Constructing inferential models and evaluating their diagnostics using R.

Important dates

Last day to apply: 10 April 2026

Mock test: 9 to 11 April 2026

Written assignment (test): 12 April 2026

Test results: 15 April 2026

Classes commence on: 11 May 2026

In-person module: 11 to 16 May 2026

Online sessions (Saturdays): 23 May to 18 July 2026

To access sample question paper click here →

What is the requirement to complete a Certificate?

Participants must meet the minimum attendance requirements, complete assessments with a minimum pass grade in accordance with the University guidelines for the same. 

Will this be an intensive programme?

While the courses have been designed keeping working professionals and their needs in mind, the programme will require regular attendance, assignment submissions and class participation.

I understand English but am less familiar with communicating in it verbally and in written form. Can I still enrol?

The courses have been designed to be delivered in English to cater to participants from all geographical regions. While you may orally communicate in Hindi, you will be required to submit your assignments in English. 

How many days will I need to be away from work?

The certificate will require participants to attend in-person classes for 6 days at the Bengaluru campus. The remaining nine sessions will be online.

Is the campus accessible for differently abled people?

Yes, the University campus and some of our student residences are wheelchair access friendly.

I have a young child; is there any facility for childcare?

The University has a creche facility on the campus. However, we would suggest that specific requirements are discussed with us on a case-to-case basis.

Will there be placement assistance?

There is no placement assistance envisaged after the programme.

Will financial assistance be provided?

Financial assistance is provided on a case-by-case basis.

Faculty

All Programme faculty →

Admissions