About the Site

This site is developed for Information professionals so that they might understand how technology is shaping the discipline.

Information for All

Home
News
About
- Publications
- Privacy Policy
Assignments/Practice/Result
- DIgitial Reference Tools(Practice)
Downloads
Document Management System
My Software
Courses
Research Repository
Forum
Contact
Examination Portal

M.Lib.I.Sc Fourth Semester Admit Card

Examination

Roll number

Data Science

Data science is an interdisciplinary field that combines mathematics, statistics, computer science, and domain expertise to extract meaningful insights from raw, noisy, or unstructured data. It transforms information into actionable strategies using machine learning, predictive modeling, and data visualization

Data Analytics

Data analytics is the process of examining raw datasets to extract actionable insights, spot trends, and guide decision-making. It underpins modern business intelligence, helping organizations optimize operations, increase efficiency, and forecast future outcomes.

Data Wrangling

Data wrangling is the process of gathering, cleaning, and transforming raw, messy data into a structured format. It prepares datasets for analytics, machine learning, or business intelligence. Analysts often spend the majority of their time wrangling data before actual analysis begins

Data Carpentry

Data Carpentry is now a lesson program within The Carpentries, having merged with Software Carpentry in January, 2018. Data Carpentry's focus is on the introductory computational skills needed for data management and analysis in all domains of research.

Search for: