Mission

Our mission is to cultivate the ability to turn raw, imperfect data into honest insight — to curate with rigour, visualize with judgement, and communicate what the data does and does not say, clearly and responsibly, across science, industry, and society.

Data Curation and Visualization

List of Topics

Foundations of Data Curation

Data Quality and Cleaning

Data Wrangling and Transformation

Multi-modal Data Integration

Principles of Visualization and Grammar of Graphics

Statistical Visualization

Specialized Visualization

Dashboards and Visual Analytics

A Few Words
About the Course

Data Curation and Visualization is a rigorous study of how raw, imperfect data is transformed into reliable evidence and communicated with clarity. The course delves into the acquisition, cleaning, and integration of real-world datasets, including data lifecycle management and governance, handling of missing values and outliers, wrangling and multi-modal integration, the grammar of graphics, statistical and multivariate visualization, time-series, geographical and text data, and interactive dashboards built with Python and Tableau. It challenges participants to curate data with discipline while critically examining what a visualization reveals, what it conceals, and how honestly it represents the underlying data.

Course Features

28

Lectures

10

Projects

1

End Semester

14

Laboratories

Class/Laboratory Hours

#TopicPDF
1Monday (Laboratory)14:00 - 17:10
2Thursday15:00 - 16:40

Evaluation

#AssessmentMarksTopics
1Test 115Up to Topics Covered on 3rd September 2026
2Test 215Up to Topics Covered on 8th October 2026
3Projects3010 Projects
3End Semester40End Semester (Theory + Practical)

Module 1

#TopicPDFDate
1Data Science: What? Why? How?Lecture-106-08-2026
2Data CurationLecture-213-27-08-2026

Numpy, Pandas, Plotly

#TopicPDFDate
1Numpy, Pandas, MatplotlibPDF10-08-2026
2PloltyPDF10-08-2026

Laboratory

#Project ThemeDatasetsInstructionGoogle SheetDate
1IIT Timetable and Slot SystemsLinkLinkLink03-08-2026
2NIRF DataLinkLinkLink10-08-2026
3UIDAI Data HackathonLinkIn ColabIn Colab17-08-2026
4Ad Click InfoLinkIn ColabIn Colab24-08-2026

Prerequisites

Python

%

Pandas

%

Plotly

%

Optimization

%

Instructor

Dr. Panchatcharam Mariappan

Associate Professor

ID511M Data Curation and Visualization

IIT Tirupati

0877-250-3358
AB1-316
panch.m@iittp.ac.in