In this repository, I have curated all the materials one can use to study SQL, Data Analysis, Statistics, Machine learning Algorithms, LangChain, and MLOps.
- YouTubers/Playlists to Follow
- SQL
- Python
- Probability and Statistics
- Machine Learning
- LangChain
- MLOPS
- Books
- Case Studies and System Design
- Product Metrics
- Tech Blogs
- Podcasts
- 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
- 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
- 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
- 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
- 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
- SQL Mock Interview: Departments with the Highest Revenues | Exponent
- TOP 5 SQL QUESTIONS (Amazon, Google, Swiggy, Zomato, Flipkart, AngelOne) by InsightsLift
- Microsoft SQL Interview Question | Possible Flight Routes by Ankit Bansal
- SQL Solution to SPOTIFY Days At Number One Question Hard by StrataScratch
- Ace the Statistics Interview by Emma Ding (YouTube Playlist)
- DATAtab
- Statistics Made Easy by Andrew Jones (YouTube Playlist)
- Statistics Fundamentals by StarQuest (YouTube Playlist)
- 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
- A/B testing: A step-by-step guide in Python | by Renato Fillinich
- 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)
- 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
- 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
- Introduction to Machine Learning Interviews Book
- The Data Science Interview Book
- Machine Learning | GeeksforGeeks
- Model Explainability using SHAP values (GitHub)
- 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)
- 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
- 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 In-depth (Hindi) by Krish Naik
- All About Logistic Regression (Medium)
- Logistic Regression | GeeksForGeeks
- 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
- How Do Decision Trees Work - Misra Turp
- Gini Index vs Entropy - UnFold DataScience
- Decision Trees | GeeksForGeeks
- 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
- 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
- KNN Interview Questions
- 30 Questions to Test a Data Scientist on KNN
- Pros and Cons of KNN
- KNN Explained (Theory + Maths + Coding)
- All About SVMs - Math, Terminology, Intuition, and Kernels
- 25 Questions to Test a Data Scientist on SVMs
- 12 Tips to Improve Naive Bayes
- Naive Bayes Explained (Theory + Maths + Coding)
- 6 Easy Steps to Learn Naive Bayes
- KMeans in 200 Words
- K-Means Clustering | CampusX
- KNN Overview - Medium
- K-Means Detailed Explanation - Kaggle
- Metrics and Scoring - Scikit-learn
- Introduction to ROC Analysis - Tom Fawcett
- ROC Curves and AUC Explained - Data School
- Document Loaders in LangChain | GenAI using LangChain | Video 10 | 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
- AI Medical Chatbot with RAG Tutorial (HUGGINGFACE & LANGCHAIN) | AI in healthcare End-to-End Project
- 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)
- 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)
- 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
- Square Machine Learning Interview: Decision Tree Bank Loan (Design ML model) (Video)
- Fraud Detection - ML System Design Interview (Video)
- 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)
- How Visa Became a Popular Credit Card (Video)
- How Does VISA Make Money (Video)
- Data Science at Visa (ACM) (Video)
- How Urban Company uses Machine Learning to Improve Reliability of the Marketplace (Article)
- How Urban Company Leverages Causal Inference (Article)
- 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)
- Cracking Facebook (Meta) Product Case Interviews by Emma Ding (Video)
- LinkedIn Metric Interview Question and Answer (Video)
- 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
- 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
- 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.