Difference Between Data Engineer, Data Analyst and Data Scientist

Difference Between Data Engineer, Data Analyst and Data Scientist Introduction: Are you confused between Data Roles? If you’ve been trying to build a career in data or are hiring for data-related roles, you’ve probably wondered: What is the difference between data science and data engineering? Or maybe even what is the difference between data science […]

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Top 25 Machine Learning Interview Questions and Answers

Top 25 Machine Learning Interview Questions and Answers Prepare smartly for your next data science or machine learning interview with the most commonly asked ML questions from basics to advanced. Introduction: Whether you’re a beginner or an experienced professional, cracking machine learning interviews requires clarity in both concepts and practical application. This guide covers the

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Data Scientist RoadMap

Data Scientist Roadmap 2025-2026 Becoming a data scientist in today’s world is more than just learning tools, it’s about developing a strategic mix of technical skills, business thinking, and real-world application. Here’s how you can build your path step by step: Here is your grouped and actionable data scientist roadmap for 2025: 1. Foundation Building

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AI IN BUSINESS

AI IN BUSINESS: HOW AI IS USED BUSINESS? From Startups to Enterprises: The Real Impact of Artificial Intelligence Introduction: Is AI Just a Buzzword or a Business Breakthrough?​ Every few years, a new technology creates a buzz that promises to change the business landscape forever. Cloud computing, big data, and blockchain have all taken their

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Basic Interview Questions on Python

Basic Interview Questions on Python Python Interview Questions from Basics to Advance Whether you’re a budding data scientist, a fresher in programming, or an experienced developer transitioning into a Python-heavy role, one thing remains constant: interviews can be nerve-wracking. Especially when the interviewer starts throwing “basic interview questions on Python” your way. The problem? Most

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Generative AI Applications

Generative AI Applications Introduction: What are Applications of Generative AI? Have you noticed how everyone’s talking about AI lately? From students to CEOs, everyone’s curious What is generative AI, and why is it suddenly everywhere? Here’s the thing: Generative AI (or Gen AI) is not just a buzzword. It’s a game-changer. With tools that can

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Data Science Job Roles

The blog explores top Data Science career opportunities in today’s AI-driven world, covering key Gen AI jobs like Data Scientist, Prompt Engineer, AI and Machine Learning Engineer, AI Researcher, and AI Product Manager. It outlines each role’s job description, salary expectations, and a clear roadmap for beginners and professionals alike. With the rise of Generative AI job roles, skills in AI, machine learning, and prompt engineering are in high demand. Whether you’re starting from scratch or pivoting your career, this guide is paired with expert training from INTTRVU.ai, helps you navigate the future of tech.

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Machine Learning Projects in 2025: Top 5 ML Projects to boost your Career

Machine Learning Projects in 2025: Top 5 ML Projects to boost your Career Get Ready to Build Game-Changing Projects in AI ML and Python! Ever feel like everyone’s talking about AI and Machine Learning, but no one tells you how to actually build something real?You’re not alone. Many learners get stuck after completing an introduction

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Data Science vs. Data Analytics: The Key Differences You Need to Know

In today’s data-driven world, Data Science and Data Analytics have become two of the most sought-after fields, offering tremendous job opportunities. However, choosing the right path can be confusing. In this article, we’ll explore the key differences between Data Science and Data Analytics, focusing on their scope, goals, job roles, necessary skills and potential salaries. By the end, you’ll have a clearer understanding of which career path might suit you better.

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Data Science CV That Gets You Hired

How to Create a Winning Data Science Resume: A Complete Guide for Data Scientists and Freshers

Creating a strong data science CV is crucial, but many candidates unknowingly make common mistakes that prevent them from getting shortlisted. From highlighting irrelevant experience to missing out on key industry skills, this article explores the pitfalls you should avoid and offers actionable tips to boost your chances of landing that interview. Learn how to craft a CV that stands out in the competitive field of data science.

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