To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

Rather than broad tech concepts, the focus is on practical tools and languages used by data professionals: Python for ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

The Indian Institute of Technology Bombay is offering a certification in generative AI for five months. Check the eligibility ...

Overview: Data mining tools in 2026 focus on usability, scale, and real business impact.Visual and cloud-based platforms are ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a practical setting.

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 ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

We haven't made too many major changes to how we deal with security for the NumPy project in a few years. The last significant changes were (a) requiring 2FA for everyone with repo admin privileges or ...