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Over the last year, several articles have been written to help candidates prepare for data science technical interviews. These resources cover a wide range of topics including machine learning, SQL, programming, statistics, and probability.
1️⃣ Machine Learning (ML) Interview
Types of ML Q&A in Data Science Interview
https://shorturl.at/syN37
ML Interview Q&A for Data Scientists
https://shorturl.at/HVWY0
Crack the ML Coding Q&A
https://shorturl.at/CDW08
Deep Learning Interview Q&A
https://shorturl.at/lHPZ6
Top LLMs Interview Q&A
https://shorturl.at/wGRSZ
Top CV Interview Q&A [Part 1]
https://rb.gy/51jcfi
Part 2
https://rb.gy/hqgkbg
Part 3
https://rb.gy/5z87be
2️⃣ SQL Interview Preparation
13 SQL Statements for 90% of Data Science Tasks
https://rb.gy/dkdcl1
SQL Window Functions: Simplifying Complex Queries
https://t.ly/EwSlH
Ace the SQL Questions in the Technical Interview
https://lnkd.in/gNQbYMX9
Unlocking the Power of SQL: How to Ace Top N Problem Questions
https://lnkd.in/gvxVwb9n
How To Ace the SQL Ratio Problems
https://lnkd.in/g6JQqPNA
Cracking the SQL Window Function Coding Questions
https://lnkd.in/gk5u6hnE
SQL & Database Interview Q&A
https://lnkd.in/g75DsEfw
6 Free Resources for SQL Interview Preparation
https://lnkd.in/ghhiG79Q
3️⃣ Programming Questions
Foundations of Data Structures [Part 1]
https://lnkd.in/gX_ZcmRq
Part 2
https://lnkd.in/gATY4rTT
Top Important Python Questions [Conceptual]
https://lnkd.in/gJKaNww5
Top Important Python Questions [Data Cleaning and Preprocessing]
https://lnkd.in/g-pZBs3A
Top Important Python Questions [Machine & Deep Learning]
https://lnkd.in/gZwcceWN
Python Interview Q&A
https://lnkd.in/gcaXc_JE
5 Python Tips for Acing DS Coding Interview
https://lnkd.in/gsj_Hddd
4️⃣ Statistics
Mastering 5 Statistics Concepts to Boost Success
https://lnkd.in/gxEuHiG5
Mastering Hypothesis Testing for Interviews
https://lnkd.in/gSBbbmF8
Introduction to A/B Testing
https://lnkd.in/g35Jihw6
Statistics Interview Q&A for Data Scientists
https://lnkd.in/geHCCt6Q
5️⃣ Probability
15 Probability Concepts to Review [Part 1]
https://lnkd.in/g2rK2tQk
Part 2
https://lnkd.in/gQhXnKwJ
Probability Interview Q&A [Conceptual Questions]
https://lnkd.in/g5jyKqsp
Probability Interview Q&A [Mathematical Questions]
https://lnkd.in/gcWvPhVj
🔜 All links are available in the GitHub repository:
https://lnkd.in/djcgcKRT
Types of ML Q&A in Data Science Interview
https://shorturl.at/syN37
ML Interview Q&A for Data Scientists
https://shorturl.at/HVWY0
Crack the ML Coding Q&A
https://shorturl.at/CDW08
Deep Learning Interview Q&A
https://shorturl.at/lHPZ6
Top LLMs Interview Q&A
https://shorturl.at/wGRSZ
Top CV Interview Q&A [Part 1]
https://rb.gy/51jcfi
Part 2
https://rb.gy/hqgkbg
Part 3
https://rb.gy/5z87be
13 SQL Statements for 90% of Data Science Tasks
https://rb.gy/dkdcl1
SQL Window Functions: Simplifying Complex Queries
https://t.ly/EwSlH
Ace the SQL Questions in the Technical Interview
https://lnkd.in/gNQbYMX9
Unlocking the Power of SQL: How to Ace Top N Problem Questions
https://lnkd.in/gvxVwb9n
How To Ace the SQL Ratio Problems
https://lnkd.in/g6JQqPNA
Cracking the SQL Window Function Coding Questions
https://lnkd.in/gk5u6hnE
SQL & Database Interview Q&A
https://lnkd.in/g75DsEfw
6 Free Resources for SQL Interview Preparation
https://lnkd.in/ghhiG79Q
Foundations of Data Structures [Part 1]
https://lnkd.in/gX_ZcmRq
Part 2
https://lnkd.in/gATY4rTT
Top Important Python Questions [Conceptual]
https://lnkd.in/gJKaNww5
Top Important Python Questions [Data Cleaning and Preprocessing]
https://lnkd.in/g-pZBs3A
Top Important Python Questions [Machine & Deep Learning]
https://lnkd.in/gZwcceWN
Python Interview Q&A
https://lnkd.in/gcaXc_JE
5 Python Tips for Acing DS Coding Interview
https://lnkd.in/gsj_Hddd
Mastering 5 Statistics Concepts to Boost Success
https://lnkd.in/gxEuHiG5
Mastering Hypothesis Testing for Interviews
https://lnkd.in/gSBbbmF8
Introduction to A/B Testing
https://lnkd.in/g35Jihw6
Statistics Interview Q&A for Data Scientists
https://lnkd.in/geHCCt6Q
15 Probability Concepts to Review [Part 1]
https://lnkd.in/g2rK2tQk
Part 2
https://lnkd.in/gQhXnKwJ
Probability Interview Q&A [Conceptual Questions]
https://lnkd.in/g5jyKqsp
Probability Interview Q&A [Mathematical Questions]
https://lnkd.in/gcWvPhVj
https://lnkd.in/djcgcKRT
#DataScience #InterviewPrep #MachineLearning #SQL #Python #Statistics #Probability #CodingInterview #AIBootcamp #DeepLearning #LLMs #ComputerVision #GitHubResources #CareerInDataScience
✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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#DataScience #SQL #Python #MachineLearning #Statistics #BusinessAnalytics #ProductCaseStudies #DataScienceProjects #InterviewPrep #LearnDataScience #YouTubeLearning #CodingInterview #MLInterview #SQLProjects #PythonForDataScience
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Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations
#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep
✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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🚀 Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
Let's start: https://hackmd.io/@husseinsheikho/IP
#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics
✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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𝗣𝗿𝗲𝗽𝗮𝗿𝗲 𝗳𝗼𝗿 𝗝𝗼𝗯 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀.
In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you can’t demonstrate this during an interview, expect to hear, “We’ll get back to you.”
The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.
She designed proper documentation/a book for common ML interview questions.
Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but don’t yet know the differences among those titles.Check the comment section for links and repos.
📌 link:
https://huyenchip.com/ml-interviews-book/
https://t.me/CodeProgrammer🌟
In DS or AI/ML interviews, you need to be able to explain models, debug them live, and design AI/ML systems from scratch. If you can’t demonstrate this during an interview, expect to hear, “We’ll get back to you.”
The attached person's name is Chip Huyen. Hopefully you know her; if not, then I can't help you here. She is probably one of the finest authors in the field of AI/ML.
She designed proper documentation/a book for common ML interview questions.
Target Audiences: ML engineer, a platform engineer, a research scientist, or you want to do ML but don’t yet know the differences among those titles.Check the comment section for links and repos.
https://huyenchip.com/ml-interviews-book/
#JobInterview #MachineLearning #AI #DataScience #MLEngineer #AIInterview #TechCareers #DeepLearning #AICommunity #MLSystems #CareerGrowth #AIJobs #ChipHuyen #InterviewPrep #DataScienceCommunit
https://t.me/CodeProgrammer
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Forwarded from Tech Jobs Hub
1. What is the output of the following code?
2. Which of the following data types is immutable in Python?
A) List
B) Dictionary
C) Set
D) Tuple
3. Write a Python program to reverse a string without using built-in functions.
4. What will be printed by this code?
5. Explain the difference between
6. How do you handle exceptions in Python? Provide an example.
7. What is the output of:
8. Which keyword is used to define a function in Python?
A) def
B) function
C) func
D) define
9. Write a program to find the factorial of a number using recursion.
10. What does the
11. What will be the output of:
12. Explain the concept of list comprehension with an example.
13. What is the purpose of the
14. Write a program to check if a given string is a palindrome.
15. What is the output of:
16. Describe how Python manages memory (garbage collection).
17. What will be printed by:
18. Write a Python program to generate the first n Fibonacci numbers.
19. What is the difference between
20. What is the use of the
#PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming
By: @DataScienceQ 🚀
x = [1, 2, 3]
y = x
y.append(4)
print(x)
2. Which of the following data types is immutable in Python?
A) List
B) Dictionary
C) Set
D) Tuple
3. Write a Python program to reverse a string without using built-in functions.
4. What will be printed by this code?
def func(a, b=[]):
b.append(a)
return b
print(func(1))
print(func(2))
5. Explain the difference between
== and is operators in Python.6. How do you handle exceptions in Python? Provide an example.
7. What is the output of:
print(2 ** 3 ** 2)
8. Which keyword is used to define a function in Python?
A) def
B) function
C) func
D) define
9. Write a program to find the factorial of a number using recursion.
10. What does the
*args parameter do in a function?11. What will be the output of:
list1 = [1, 2, 3]
list2 = list1.copy()
list2[0] = 10
print(list1)
12. Explain the concept of list comprehension with an example.
13. What is the purpose of the
__init__ method in a Python class?14. Write a program to check if a given string is a palindrome.
15. What is the output of:
a = [1, 2, 3]
b = a[:]
b[0] = 10
print(a)
16. Describe how Python manages memory (garbage collection).
17. What will be printed by:
x = "hello"
y = "world"
print(x + y)
18. Write a Python program to generate the first n Fibonacci numbers.
19. What is the difference between
range() and xrange() in Python 2?20. What is the use of the
lambda function in Python? Give an example. #PythonQuiz #CodingTest #ProgrammingExam #MultipleChoice #CodeOutput #PythonBasics #InterviewPrep #CodingChallenge #BeginnerPython #TechAssessment #PythonQuestions #SkillCheck #ProgrammingSkills #CodePractice #PythonLearning #MCQ #ShortAnswer #TechnicalTest #PythonSyntax #Algorithm #DataStructures #PythonProgramming
By: @DataScienceQ 🚀
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This Machine Learning Cheat Sheet Saved Me Hours of Revision ⏳
It includes:
✅ Supervised & Unsupervised algorithms
✅ Regression, Classification & Clustering techniques
✅ PCA & Dimensionality Reduction
✅ Neural Networks, CNN, RNN & Transformers
✅ Assumptions, Pros/Cons & Real-world use cases
Whether you're:
🔹 Preparing for data science interviews
🔹 Working on ML projects
🔹 Or strengthening your fundamentals
this one-page guide is a must-save.
♻️ Repost and share with your ML circle.
#MachineLearning #DataScience #AI #MLAlgorithms #InterviewPrep #LearnML
https://t.me/CodeProgrammer🐍
It includes:
✅ Supervised & Unsupervised algorithms
✅ Regression, Classification & Clustering techniques
✅ PCA & Dimensionality Reduction
✅ Neural Networks, CNN, RNN & Transformers
✅ Assumptions, Pros/Cons & Real-world use cases
Whether you're:
🔹 Preparing for data science interviews
🔹 Working on ML projects
🔹 Or strengthening your fundamentals
this one-page guide is a must-save.
♻️ Repost and share with your ML circle.
#MachineLearning #DataScience #AI #MLAlgorithms #InterviewPrep #LearnML
https://t.me/CodeProgrammer
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Forwarded from Machine Learning
👣 Rust Interview Deep Dive 🦀🔍
A repository for systematic preparation for Rust interviews at the middle, senior, and staff levels. 💼📚
Inside 100 real questions from interviews in product and infrastructure companies, detailed analyses with code examples and scenarios of tasks that occur in production. 💻🏗️ Not "guess the program's output", but the mechanics on which real services are built. 🛠️🚀
Here are lock-free structures, self-referential types in async, FFI with tensor libraries, correct Send on guards via await, memory ordering under loom, soundness of custom collections. 🔒⚡ And it all starts with the basics. Ownership, borrowing, lifetimes. 🧱🔄 Those who want can start from scratch or at the staff level. 🚶♂️👨💻
https://github.com/Develp10/rustinterviewquiestions 🔗
#Rust #Programming #InterviewPrep #SoftwareEngineering #SystemsProgramming #CareerGrowth
A repository for systematic preparation for Rust interviews at the middle, senior, and staff levels. 💼📚
Inside 100 real questions from interviews in product and infrastructure companies, detailed analyses with code examples and scenarios of tasks that occur in production. 💻🏗️ Not "guess the program's output", but the mechanics on which real services are built. 🛠️🚀
Here are lock-free structures, self-referential types in async, FFI with tensor libraries, correct Send on guards via await, memory ordering under loom, soundness of custom collections. 🔒⚡ And it all starts with the basics. Ownership, borrowing, lifetimes. 🧱🔄 Those who want can start from scratch or at the staff level. 🚶♂️👨💻
https://github.com/Develp10/rustinterviewquiestions 🔗
#Rust #Programming #InterviewPrep #SoftwareEngineering #SystemsProgramming #CareerGrowth
GitHub
GitHub - Develp10/rustinterviewquiestions: Rust вопорсы с собеседований
Rust вопорсы с собеседований . Contribute to Develp10/rustinterviewquiestions development by creating an account on GitHub.
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Data Science Interview Questions.pdf
1.4 MB
Data Science Interview Questions
💡 Here is your curated list for Data Science interviews!
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
#DataScience #AI #MachineLearning #LLM #TechJobs #InterviewPrep
💡 Here is your curated list for Data Science interviews!
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
#DataScience #AI #MachineLearning #LLM #TechJobs #InterviewPrep
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🔖 A useful training tool for Data Scientists 📊
🫡 Real-world tasks from IT companies;
🫡 SQL practice;
🫡 Python tasks;
🫡 Preparation for Data Science interviews.
⛓ Link to the training tool
https://www.stratascratch.com/
🏷 #DataScience #SQL #Python #InterviewPrep #TechTraining #DataAnalyst
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🫡 Real-world tasks from IT companies;
🫡 SQL practice;
🫡 Python tasks;
🫡 Preparation for Data Science interviews.
⛓ Link to the training tool
https://www.stratascratch.com/
🏷 #DataScience #SQL #Python #InterviewPrep #TechTraining #DataAnalyst
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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