Data-Science-CheatSheets-and-Resources

<p align="center">CHEATSHEETS AND RESOURCES TO LEARN DATA SCIENCE</p>

In this repository, I have curated all the materials one can use to study SQL, Data Analysis, Statistics, Machine learning Algorithms, LangChain, and MLOps.

Table of Contents

1. YouTubers/Playlists to Follow
2. SQL
3. Python
4. Probability and Statistics
5. Machine Learning
6. LangChain
7. MLOPS
8. Books
9. Case Studies and System Design
10. Product Metrics
11. Tech Blogs
12. Podcasts

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YouTubers/Playlists to Follow

• KRISH NAIK COMPLETE MACHINE LEARNING: Playlist
• CampusX: Playlist
• Data Monk Channel - Machine Learning: Playlist
• Data Professor
• StatQuest with Josh Starmer
• Cory Schafer
• Codebasics
• Data School
• Siddhardhan: Playlist
• The Data Scientist Show by Daliana Liu - DATA PODCAST: Playlist
• Ken Jee
• 3Blue1Brown
• Sentdex
• 365 Data Science
• Data Science Dojo
• Data Camp
• Data Science Jay
• Abhishek Thakur
• Two Minute Papers

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2. SQL

CODING PRACTICE WEBSITES

• DataLemur
• LeetCode
• Interview Query Coding Questions
• StrataScatch
• DataFord Io
• Hackerrank
• Analyst Builder
• SQL ZOO
• Best Medium-Hard SQL Coding Questions and Answers
• LeetCode SQL Solutions GitHub

YOUTUBE PLAYLIST/CHANNELS

• Tina Huang’s SQL Series
• StrataScratch - SQL Playlist
• Crack Concepts SQL
• Ankit Bansal - SQL
• Queries Asked in FAANG and MNCs
• Alex The Analyst’s SQL Playlists

ARTICLES/VIDEOS

• DataLemur Nick Singh’s Guide
• Top 25+ Data Science SQL Interview Questions
• Mode Analytics - SQL Tutorial
• GeeksForGeeks: 30 Days of SQL (Basic to Advanced)
• Data with Danny: 8 Week SQL Challenge
• MySQL Playlist by Krish Naik
• SQLZoo: SQL Tutorial
• W3Resources: SQL Exercises

INTERVIEW PREPARATION

• Ken Jee’s Simple SQL Fundamentals
• Facebook SQL Mock Technical Interview: Part 2 by Jay Fang
• SQL Intermediate Concepts by TechTFQ
• Top SQL Questions Part 1 (TOP N) - Emma Ding
• Top SQL Questions Part 2 (Ratios) - Emma Ding
• Amazon SQL Interview Question
• Clever Programming SQL Interview Questions

• [Complex SQL 2 - Find New and Repeat Customers

  Ankit Bansal](https://www.youtube.com/watch?v=MpAMjtvarrc&ab_channel=AnkitBansal)

• [SQL Mock Interview: Departments with the Highest Revenues

  Exponent](https://www.youtube.com/watch?v=EYxoPVSBKcU&t=2884s&ab_channel=Exponent)

• TOP 5 SQL QUESTIONS (Amazon, Google, Swiggy, Zomato, Flipkart, AngelOne) by InsightsLift

• [Microsoft SQL Interview Question

  Possible Flight Routes by Ankit Bansal](https://youtu.be/IFGEpvNSfLQ?si=IXMafik-6kkDB-GJ)

• SQL Solution to SPOTIFY Days At Number One Question Hard by StrataScratch

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3. PYTHON

CODING PRACTICE WEBSITES

• CodeWars

YOUTUBE PLAYLIST/CHANNELS

• Learning Pandas for Data Analysis? Start Here.
• Data analysis in Python with pandas by Data School

ARTICLES/VIDEOS

• Python pandas video series by Data School GitHub
• 10 minutes to pandas by Pandas.pydata.org

INTERVIEW PREPARATION

• Solving Coding Interview Questions in Python on LeetCode (easy & medium problems)

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4. PROBABILITY AND STATISTICS

YOUTUBE PLAYLIST/CHANNELS

• Ace the Statistics Interview by Emma Ding (YouTube Playlist)
• DATAtab
• Statistics Made Easy by Andrew Jones (YouTube Playlist)
• Statistics Fundamentals by StarQuest (YouTube Playlist)

ARTICLES/VIDEOS

• Applying Causal Inference with Python: A Practical Guide (Medium)
• Step by Step Process for Planning an A/B Test (Medium)
• Top 8 Statistics Interview Questions for a Data Science Interview
• Hypothesis Testing

• [Hypothesis Testing

  Difference between Z-Test and T-Test](https://www.analyticsvidhya.com/blog/2020/06/statistics-analytics-hypothesis-testing-z-test-t-test/)

• [A/B testing: A step-by-step guide in Python

  by Renato Fillinich](https://towardsdatascience.com/ab-testing-with-python-e5964dd66143)

• Mastering Hypothesis Testing for DS Interviews by YoussefHosni
• Understanding of A/B Testing with Udacity’s Free Course
• Mastering A/B Testing: A Real World Business Example [Part 1]
• Data Labs Statistics
• How to Do A/B Testing: 15 Steps for the Perfect Split Test
• A/B Testing Fundamentals: What Every Data Scientist Needs to Know! By Emma Ding
• Causal analysis overview: Causal inference versus experimentation versus causal discovery
• How to perform A/B Testing in Python (Medium)

INTERVIEW PREPARATION

• Practice real-world problems on Interview Query
• Mock Interview by Exponent

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5. MACHINE LEARNING

YOUTUBE CHANNELS

• Emma Ding (ML, A/B testing)
• CampusX (ML)
• Krish Naik in Hindi (ML)
• Krish Naik (ML)
• Exponent (ML, Business Case Study)
• StarQuest by Josh Starmer (ML)
• Simplilearn (ML, Stats, MLOps)
• MathematicalMonk ML videos

YOUTUBE PLAYLIST

• Ace the Machine Learning Interview by Emma Ding
• CampusX: 100 Days of Machine Learning
• Complete Machine Learning playlist in Hindi by Krish Naik
• Complete Machine Learning Playlist by Krish Naik
• Machine Learning by StarQuest
• Data Science and Machine Learning with Python by Krish Naik
• StarQuest with Josh Starmer
• MathematicalMonk ML videos playlist

READING RESOURCES & TUTORIALS

• Introduction to Machine Learning Interviews Book
• The Data Science Interview Book

• [Machine Learning

  GeeksforGeeks](https://www.geeksforgeeks.org/machine-learning/)

• Model Explainability using SHAP values (GitHub)

INTERVIEW PREPARATION

• Data Science Interview Questions by Krish Naik
• Top 50+ Machine Learning Interview Questions and Answers
• Machine Learning Interview Mastery by Emma Ding
• Interview Questions by Campus se Corporate tak
• Interview Questions - Data Scientist Positions by S. Gosh (GitHub)

ARTICLES/VIDEOS

• Techniques to Boost Model Accuracy
• All Learning Algorithms Explained in 14 Minutes
• An Introduction to Statistical Learning - Resources for Python
• ML Models Explained by Amazon Employees
• Machine Learning for Everybody – Full Course by FreeCodeCamp

Data Preprocessing

• One Hot Encoding - Everything You Want to Know (Kaggle)

Bias-Variance Tradeoff/Overfitting/Underfitting

• What is Regularization: Bias-Variance Tradeoff

Linear Regression

• Linear Regression Algorithm by Edureka
• Assumptions of Linear Regression by CampusX
• 30 Questions to Test a Data Scientist on Linear Regression
• Linear Regression by Machine Learning University
• 5 Types of Regression and Their Properties
• Ridge Regression - Clearly Explained
• Lasso Regression - Clearly Explained
• L1 and L2 Regularization in Machine Learning by Emma Ding

Logistic Regression

• Logistic Regression In-depth (Hindi) by Krish Naik
• All About Logistic Regression (Medium)

• [Logistic Regression

  GeeksForGeeks](https://www.geeksforgeeks.org/understanding-logistic-regression/)

• Logistic Regression from Scratch using Python
• Logistic Regression - Short Explanation by StarQuest
• Linear vs Logistic Regression by Edureka
• Understand Everything in Logistic Regression by Edureka
• Lasso, Ridge, and Logistic Regression by Krish Naik

Tree-Based (Decision Trees, Random Forest)

• How Do Decision Trees Work - Misra Turp
• Gini Index vs Entropy - UnFold DataScience

• [Decision Trees

  GeeksForGeeks](https://www.geeksforgeeks.org/decision-tree-introduction-example/)

• Post Pruning in Decision Trees - Krish Naik
• Entropy in Decision Trees - Krish Naik
• Information Gain - Krish Naik
• Gini Impurity - Krish Naik
• Decision Tree for Numerical Features - Krish Naik
• Visualize Decision Tree - Krish Naik
• Extra Trees Explained (Medium)
• 30 Questions to Test Tree-Based Models
• Gini Index vs Information Entropy
• Math Behind Decision Tree Splitting Criterions

Random Forest (Ensemble Bagging Algorithm)

• Guide to Ensemble Learning - Analytics Vidhya
• Decision Tree vs Random Forest
• Ensemble Technique (Bagging) - Krish Naik
• Random Forest Classifier and Regressor - Krish Naik
• Decision Trees in Random Forests - Krish Naik
• Adaboost (Boosting) - Krish Naik
• Gradient Boosting Part 1 - Krish Naik
• Gradient Boosting Part 2 - Krish Naik
• XGBoost Classifier - Krish Naik
• XGBoost Regression - Krish Naik
• Implementation of XGBoost - Krish Naik
• Why Random Forest Doesn’t Work Well for Time-Series

K-Nearest-Neighbors

• KNN Interview Questions
• 30 Questions to Test a Data Scientist on KNN
• Pros and Cons of KNN
• KNN Explained (Theory + Maths + Coding)

Support Vector Machines

• All About SVMs - Math, Terminology, Intuition, and Kernels
• 25 Questions to Test a Data Scientist on SVMs

Naive Bayes

• 12 Tips to Improve Naive Bayes
• Naive Bayes Explained (Theory + Maths + Coding)
• 6 Easy Steps to Learn Naive Bayes

K-Means (Unsupervised ML)

• KMeans in 200 Words

• [K-Means Clustering

  CampusX](https://youtu.be/5shTLzwAdEc?si=pToZl3DFIfq-b_VP)

• KNN Overview - Medium
• K-Means Detailed Explanation - Kaggle

Principal Component Analysis (PCA)

• PCA using sklearn by Krish Naik
• PCA Guide - Analytics Vidhya
• Step-by-Step PCA Explanation - Builtin

Model Evaluation

• Metrics and Scoring - Scikit-learn
• Introduction to ROC Analysis - Tom Fawcett
• ROC Curves and AUC Explained - Data School

Recommendation Algorithm

• Marketing - Product Analytics and Recommendations

Ranking Algorithm

• Introduction to Ranking Algorithms - Medium

Time Series Forecasting Algorithm

• Complete Guide to Time Series Forecasting Models

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6. LangChain

INTERVIEW PREPARATION

• Natural Language Processing: Advance Techniques (Article)
• Zero To One For NLP (Article)

ARTICLES/VIDEOS

• [Document Loaders in LangChain

  GenAI using LangChain

  Video 10

  CampusX](https://www.youtube.com/watch?v=bL92ALSZ2Cg&t=2057s&ab_channel=CampusX)

• LangGraph vs LangChain vs LangFlow vs LangSmith
• Vector Databases simply explained! (Embeddings & Indexes)
• What is a Vector Database & How Does it Work? Use Cases + Examples

PROJECTS

• [AI Medical Chatbot with RAG Tutorial (HUGGINGFACE & LANGCHAIN)

  AI in healthcare End-to-End Project](https://www.youtube.com/watch?v=OP0FYjF-37c&ab_channel=AIwithHassan)

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7. MLOps

YOUTUBE PLAYLISTS/CHANNELS

• Amazon SageMaker (By Krish Naik)

READING RESOURCES & TUTORIALS

• Docker Tutorial for Beginners [2024 Guide]
• CS 329S: Machine Learning Systems Design (Course)

INTERVIEW PREPARATION

• Crack ML System Design Interviews Like a Pro — Part 1 (Medium)

ARTICLES/VIDEOS

• Feast as Feature Store in Machine Learning: Feature Store (MLOps)
• The 24 MOST POPULAR AWS Services You Need to Know in 2025
• How to Deploy Machine Learning Models by Udemy (Article)

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8. BOOKS

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9. CASE STUDY AND SYSTEM DESIGN

GENERAL CASE STUDY

• Business Metrics for Data Analysts (Video)
• Critical Metrics Every Product Manager Must Track (Article)
• Customers of A Feather Engage Together: Using K-Means Clustering to Maximize Retention (Article)

• [Elasticity: The Economic Concept Behind How Companies Price Products

  WSJ Price Index (Video)](https://youtu.be/dmgFP0qteBU?si=Brm8oglMTPzZdA2H)

• Pricing Strategies & Models: An In-Depth Look at How to Price Your Products Effectively (Article)
• Pricing Trends to Consider
• Demand-Based Pricing
• Guide to Dynamic Pricing
• Matching and Dynamic Pricing in Ride-Hailing Platforms (Microsoft Research) (Video)
• Likely-to-Sell Recommendations for Real Estate (Article)
• Meta Product Sense Interview Questions and Answers (Video)
• 10 Case Interview Formulas You Should Definitely Know by Hacking the Case Interview (Video)
• Use SQL to Analyze the Impact of Upsell Marketing Campaigns (with American Express PM) (Video)
• Dawn of Taxi Aggregators
• Optimizing product prices for an online vendor
• Mercari Price Prediction
• End-to-End multiclass Text Classification pipeline
• End-to-End multiclass Image Classification pipeline
• Large Scale Forecasting for 1000+ products - Nagarro
• Clustering and Classification in E-Commerce
• The ABCs of Learning to Rank
• Data Science Case Study: Optimizing Product Placement in Retail

SYSTEM DESIGN

• Square Machine Learning Interview: Decision Tree Bank Loan (Design ML model) (Video)
• Fraud Detection - ML System Design Interview (Video)

COMPANY SPECIFIC CASE STUDY

1. LYFT/UBER

• Lyft/Uber Metric Interview Question and Answer: Tips for Data Science Interview Success! (Video)
• How Uber Built a QueryGPT
• What is Dynamic Pricing? How does Uber set its prices? (Video)

• [Data Analyst Interview

  Uber Eats Market Expansion Strategy by Exponent (Video)](https://youtu.be/clsM-qJlY0c?si=FWcipe3ZHUmPsOc9)

2. VISA

• How Visa Became a Popular Credit Card (Video)
• How Does VISA Make Money (Video)
• Data Science at Visa (ACM) (Video)

3. AIRBNB

• Experiments at Airbnb (Article)

4. URBAN COMPANY

• How Urban Company uses Machine Learning to Improve Reliability of the Marketplace (Article)
• How Urban Company Leverages Causal Inference (Article)

5. WALMART

• [How AI and Automation Fuel Walmart’s Ultrafast Deliveries

  WSJ Shipping Wars (Video)](https://youtu.be/Nf-P-qNej3c?si=to3nj2jG3goEiuyP)

6. DOORDASH

• Data Preparation for Modeling [DoorDash Data Science Project] by StrataScratch (Video)

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10. PRODUCT METRICS

READING RESOURCES & TUTORIALS

• The Definitive Guide to Designing Product Metrics (Article)
• How to Succeed in A Product Data Science Interview (Article)
• Are You Tracking the Right Metrics? (Article)

INTERVIEW PREPARATION

• Cracking Facebook (Meta) Product Case Interviews by Emma Ding (Video)
• LinkedIn Metric Interview Question and Answer (Video)

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10. TECH BLOGS

COMPANY AI/ML BLOGS AND CASE STUDIES

• Airbnb AI & Machine Learning
• Databricks Data Science & ML
• Google AI research applications
• NVIDIA Data Science
• Apple Machine Learning Research
• Stripe Machine Learning for Fraud Detection
• Netflix Recommender System
• Netflix Tech Blog
• Uber AI
• X (aka Twitter)
• Pinterest Ads Recommender
• Meta AI
• Microsoft ML
• DoorDash Data Science and ML
• MongoDB AI
• Amazon Machine Learning Blog
• Grammarly NLP/ML
• Spotify Machine Learning

INDUSTRY CASE STUDIES & ARTICLES

• BSNL Story
• Amul’s Pandemic Strategy
• P & G Data Culture
• Bad Loans at Banks
• Burger King’s Strategy
• AB InBev Automation
• Data Career in Insurance Industry
• Ikea Case Study
• PwC Using Analytics
• Data Science in Healthcare
• Dashboard in Local Business
• Walmart Using Power BI
• Data Literacy at Starbucks
• Efficiency Scoring in Business
• Hospitality Insights

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10. PODCASTS

YOUTUBE PLAYLISTS/PODCASTS

• Super Data Science: ML & AI Podcast (YouTube) – Hosted by Jon Krohn, covering ML, AI, and career advice.
• Data Career Podcast – How to transition into the data analytics field or get a job with no prior experience.
• Data Bytes – Bite-sized data stories, professional interviews, and current trends.
• Data Ideas Podcast – Conversations with data professionals across various real-world topics.
• Data & Impact – Analytics perspectives from a wide range of industry experts.
• Women in Data Science Worldwide – Advice and insights from top women leaders in data science.
• The Data Scientist Show (YouTube) – Career tips and technical insights from industry-leading data scientists and AI researchers.

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