Chandigarh University Uttar Pradesh Introduces 17 New-Age Academic Programs in Emerging Domains to Nurture a Futuristic Workforce ...

TECH & Engineering. full-time Lissabon, Portugal. As a Process Intelligence Analyst & Engineer, you bridge the gap between ...

Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI, Education, Times No ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

In 2026, business intelligence(BI) has become a critical capability for enterprises that want to compete in data-driven markets. Organisations are no longer struggling to collect data; they are ...

BANGALORE, India, Nov. 3, 2025 /PRNewswire/ -- I-Hub Foundation for Cobotics (IHFC), the Technology Innovation Hub (TIH) of IIT Delhi, in collaboration withSimplilearn, a leading global digital ...

The I-Hub Foundation for Cobotics (IHFC), the Technology Innovation Hub (TIH) of the Indian Institute of Technology (IIT) Delhi, has partnered with Simplilearn to launch two professional certificate ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

What is this book about? Python Feature Engineering Cookbook, Third Edition, walks you through tools and methods to craft powerful features from tabular, transactional, and time-series data for robust ...