Data Science Interview Questions | Data Science Interview Questions And Answers | Intellipaat
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This Data Science Interview Questions and Answers video is designed to help you prepare for Data Science and Big Data Analytics interviews. Whether you're a fresher or an experienced professional, this video covers a range of Data Scientist Interview Questions to enhance your knowledge and boost your confidence. Perfect for both beginners and seasoned professionals, this guide helps you brush up on key concepts in Data Science, Big Data Analytics, and Machine Learning. You'll also find Data Science Interview Questions for Freshers and Data Science Interview Questions for Experienced Candidates.
📖Below are the concepts covered in this 'Data Science Interview Questions' video:
00:00 - Introduction to Data Science Interview Questions
02:21 - Data Science Interview Questions For Freshers
24:29 - Data Science Interview Questions for 3 Years Experienced
50:26 - Advanced Level Data Science Interview Questions
✅ What is asked in a data scientist interview?
In a data scientist interview, candidates are typically asked about their proficiency in programming languages like Python or R, data manipulation skills using tools such as SQL, and experience with machine learning algorithms. They are also tested on statistical concepts, data visualization, and problem-solving with real-world datasets. Additionally, interviewers may assess their ability to communicate insights and handle business-related questions.
✅ How to crack a data science interview?
To crack a data science interview, focus on these key areas:
👉🏼Solidify Fundamentals: Master programming languages like Python or R, SQL for data manipulation, and have a strong grasp of statistics and machine learning algorithms.
👉🏼Practice with Real-World Problems: Work on projects that showcase your ability to solve business problems using data.
👉🏼Prepare for Coding and Case Studies: Be ready for coding challenges and case studies involving data analysis or predictive modeling.
👉🏼Communicate Clearly: Practice explaining complex data insights in a simple and effective way, showing both technical and business understanding.
➡️ About the Course
This instructor-led Data Science Training, in association with iHUB, IIT Roorkee, will help you master Data Science & AI. The training covers Python, SQL, Statistics, Machine Learning, AI, etc, along with work on real-time projects.
➡️Who should take this course?
☑️ Information Architects and Statisticians
☑️ Developers looking to master Machine Learning and Predictive Analytics
☑️ Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
☑️ Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
☑️Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
➡️ Key Features - (Course Features)
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Roorkee Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors and 24*7 Support
👉🏼Campus Immersion at IIT Roorkee
➡️ What’s Covered in This Program? -
✅ Preparatory Session - Linux and Python
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅Machine Learning
✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies
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