Interview Prep
Career
GenAI
Prompt Engg
ChatGPT
LLM
Langchain
RAG
AI Agents
Machine Learning
Deep Learning
GenAI Tools
LLMOps
Python
NLP
SQL
AIML Projects

Reading list

Machine Learning Basics for a Newbie
6 Steps of Machine learning Lifecycle Introduction to Predictive Modeling
Introduction to Exploratory Data Analysis & Data Insights Descriptive Statistics Inferential Statistics How to Understand Population Distributions?
Reading Data Files into Python Different Variable Datatypes
Probability for Data Science Basic Concepts of Probability Axioms of Probability Conditional Probability
Central Tendencies for Continuous Variables Spread of Data KDE plots for Continuous Variable Overview of Distribution for Continuous variables Normal Distribution Skewed Distribution Skeweness and Kurtosis Distribution for Continuous Variable
Central Tendencies for Categorical Variables Understanding Discrete Distributions Performing EDA on Categorical Variables
Dealing with Missing Values Understanding Outliers Identifying Outliers in Data Outlier Detection in Python Outliers Detection Using IQR, Z-score, LOF and DBSCAN
Sample and Population Central Limit Theorem Confidence Interval and Margin of Error
Bivariate Analysis Introduction
Covariance Pearson Correlation Spearman's Correlation & Kendall's Tau Correlation versus Causation Tabular and Graphical methods for Bivariate Analysis Performing Bivariate Analysis on Continuous-Continuous Variables
Tabular and Graphical methods for Continuous-Categorical Variables Introduction to Hypothesis Testing P-value Two sample Z-test T-test T-test vs Z-test Performing Bivariate Analysis on Continuous-Catagorical variables
Chi-Squares Test Bivariate Analysis on Categorical Categorical Variables
Multivariate Analysis A Comprehensive Guide to Data Exploration The Data Science behind IPL
Supervised Learning vs Unsupervised Learning Reinforcement Learning Generative and Descriminative Models Parametric and Non Parametric model
Machine Learning Pipeline Preparing Dataset Build a Benchmark Model: Regression Build a Benchmark Model: Classification
Evaluation Metrics for Machine Learning Everyone should know Confusion Matrix Accuracy Precision and Recall AUC-ROC Log Loss R2 and Adjusted R2
Dealing with Missing Values Replacing Missing Values Imputing Missing Values in Data Working with Categorical Variables Working with Outliers Preprocessing Data for Model Building
Understanding Cost Function Understanding Gradient Descent Math Behind Gradient Descent Assumptions of Linear Regression Implement Linear Regression from Scratch Train Linear Regression in Python Implementing Linear Regression in R Diagnosing Residual Plots in Linear Regression Models Generalized Linear Models Introduction to Logistic Regression Odds Ratio Implementing Logistic Regression from Scratch Introduction to Scikit-learn in Python Train Logistic Regression in python Multiclass using Logistic Regression How to use Multinomial and Ordinal Logistic Regression in R ? Challenges with Linear Regression Introduction to Regularisation Implementing Regularisation Ridge Regression Lasso Regression
Introduction to K Nearest Neighbours Determining the Right Value of K in KNN Implement KNN from Scratch Implement KNN in Python
Bias Variance Tradeoff Introduction to Overfitting and Underfitting Visualizing Overfitting and Underfitting Selecting the Right Model What is Validation? Hold-Out Validation Understanding K Fold Cross Validation
Introduction to Feature Selection Feature Selection Algorithms Missing Value Ratio Low Variance Filter High Correlation Filter Backward Feature Elimination Forward Feature Selection Implement Feature Selection in Python Implement Feature Selection in R
Introduction to Decision Tree Purity in Decision Tree Terminologies Related to Decision Tree How to Select Best Split Point in Decision Tree? Chi-Squares Information Gain Reduction in Variance Optimizing Performance of Decision Tree Train Decision Tree using Scikit Learn Pruning of Decision Trees
Introduction to Feature Engineering Feature Transformation Feature Scaling Feature Engineering Frequency Encoding Automated Feature Engineering: Feature Tools
Introduction to Naive Bayes Conditional Probability and Bayes Theorem Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! Working of Naive Bayes Math behind Naive Bayes Types of Naive Bayes Implementation of Naive Bayes
Understanding how to solve Multiclass and Multilabled Classification Problem Evaluation Metrics: Multi Class Classification
Introduction to Ensemble Techniques Basic Ensemble Techniques Implementing Basic Ensemble Techniques Finding Optimal Weights of Ensemble Learner using Neural Network Why Ensemble Models Work well?
Introduction to Stacking Implementing Stacking Variants of Stacking Implementing Variants of Stacking Introduction to Blending Bootstrap Sampling Introduction to Random Sampling Hyper-parameters of Random Forest Implementing Random Forest Out-of-Bag (OOB) Score in the Random Forest IPL Team Win Prediction Project Using Machine Learning Introduction to Boosting Gradient Boosting Algorithm Math behind GBM Implementing GBM in python Regularized Greedy Forests Extreme Gradient Boosting Implementing XGBM in python Tuning Hyperparameters of XGBoost in Python Implement XGBM in R/H2O Adaptive Boosting Implementing Adaptive Boosing LightGBM Implementing LightGBM in Python Catboost Implementing Catboost in Python
Different Hyperparameter Tuning methods Implementing Different Hyperparameter Tuning methods GridsearchCV RandomizedsearchCV Bayesian Optimization for Hyperparameter Tuning Hyperopt
Understanding SVM Algorithm SVM Kernels In-depth Intuition and Practical Implementation SVM Kernel Tricks Kernels and Hyperparameters in SVM Implementing SVM from Scratch in Python and R
Introduction to Principal Component Analysis Steps to Perform Principal Compound Analysis Computation of Covariance Matrix Finding Eigenvectors and Eigenvalues Implementing PCA in python Visualizing PCA A Brief Introduction to Linear Discriminant Analysis Introduction to Factor Analysis
Introduction to Clustering Applications of Clustering Evaluation Metrics for Clustering Understanding K-Means Implementation of K-Means in Python Implementation of K-Means in R Choosing Right Value for K Profiling Market Segments using K-Means Clustering Hierarchical Clustering Implementation of Hierarchial Clustering DBSCAN Defining Similarity between clusters Build Better and Accurate Clusters with Gaussian Mixture Models
Understand Basics of Recommendation Engine with Case Study
8 Ways to Improve Accuracy of Machine Learning Models
Introduction to Dask Working with CuML
Introduction to Machine Learning Interpretability Framework and Interpretable Models model Agnostic Methods for Interpretability Implementing Interpretable Model Understanding SHAP Out-of-Core ML Introduction to Interpretable Machine Learning Models Model Agnostic Methods for Interpretability Game Theory & Shapley Values
Introduction to Machine Learning Interpretability Framework and Interpretable Models model Agnostic Methods for Interpretability Implementing Interpretable Model Understanding SHAP Out-of-Core ML Introduction to Interpretable Machine Learning Models Model Agnostic Methods for Interpretability Game Theory & Shapley Values
Introduction to AutoML Implementation of MLBox Introduction to PyCaret TPOT Auto-Sklearn EvalML
Pickle and Joblib Introduction to Model Deployment
Deploying Machine Learning Model using Streamlit Deploying ML Models in Docker Deploy Using Streamlit Deploy on Heroku Deploy Using Netlify Introduction to Amazon Sagemaker Setting up Amazon SageMaker Using SageMaker Endpoint to Generate Inference Deploy on Microsoft Azure Cloud Introduction to Flask for Model Deploying ML model using Flask
Model Deployment in Android Model Deployment in Iphone

Top 10 YouTube Channels to Learn SQL

Yana Khare
Yana Khare Last Updated : 09 Sep, 2024
7 min read

Introduction

Mastering SQL (Structured Query Language) is crucial for individuals pursuing data management, data analysis, and database administration. If you are starting as a novice or are a seasoned pro seeking to improve, YouTube provides various tools to assist you in learning SQL at a pace that suits you. Whether you want to grasp the fundamentals or explore intricate database management ideas, these channels cater to all interest levels. Let’s discover the top YouTube channels that can assist you in becoming proficient in SQL!

Overview: 

  • Discover essential SQL concepts and techniques with detailed tutorials tailored for all skill levels.
  • Learn from experts with structured courses and practical examples that make complex topics accessible.
  • Explore diverse teaching styles, from quick, focused lessons to comprehensive, in-depth courses.
  • Enhance your SQL skills by diving into query writing, database management, and performance optimization topics.

Table of contents

Look at the top 10 YouTube channels to learn SQL for free.

freeCodeCamp.org

freecodecamp | 1.7K videos | 9.88 million subscribers

YouTube Channels to Learn SQL for Free

FreeCodeCamp.org is a giant online learning platform that provides free programming and web development materials. Its YouTube channel is just as vast, offering tutorials on SQL for all levels, from novice to expert. The SQL tutorials are usually lengthy videos that comprehensively explain different SQL subjects, such as data manipulation, joins, subqueries, and database design. These comprehensive videos are intended to help learners fully grasp SQL in just one video session. In addition to SQL, freeCodeCamp.org provides tutorials on all programming and web development aspects.

Key Features:

  • Comprehensive, long-form tutorials covering a wide range of SQL topics.
  • Free, high-quality educational content accessible to everyone.
  • Extensive coverage of additional programming and web development topics.

Click here to access the YouTube Channel to Learn SQL

Programming with Mosh

programmingwithmosh | 232 videos | 4.09 million subscribers

Mosh Hamedani established this well-known YouTube channel called ProgrammingwithMosh, which is recognized for its organized and easy-to-follow programming tutorials suitable for beginners. Mosh’s SQL crash course is designed to assist newcomers in swiftly grasping SQL basics through discussions on SQL syntax, query construction, join operations, and database administration. Mosh’s teaching approach is coherent, brief, and structured, simplifying intricate ideas for better comprehension. In addition to SQL, the channel provides tutorials on Python, JavaScript, C#, and various other programming languages, making it a valuable resource for individuals interested in developing their skills.

Key Features:

  • Beginner-friendly SQL crash course that covers the essentials.
  • Clear and structured teaching style with practical examples.
  • A broad range of programming tutorials beyond SQL.

Click here to access the YouTube Channel to Learn SQL

Traversy Media

TraversyMedia | 982 videos | 2.27 million subscribers

Traversy Media, run by Brad Traversy, is a popular YouTube channel for learning web development and programming. Brad’s SQL tutorials are particularly praised for their clarity and thoroughness. His “SQL Crash Course” is a comprehensive guide that covers everything from basic SQL queries to more advanced concepts like joins and subqueries. Brad uses real-world examples to explain how SQL is used in practice, making the content highly relevant and easy to understand. In addition to SQL, the channel offers tutorials on HTML, CSS, JavaScript, and various back-end technologies.

Key Features:

  • Detailed explanations and practical examples.
  • In-depth coverage of SQL and other programming topics.
  • Easy-to-understand tutorials are suitable for both beginners and advanced learners.

Click here to access the YouTube Channel to Learn SQL

The Net Ninja

thenetninjauk | 2.4K videos | 1.55 million subscribers

YouTube Channels to Learn SQL for Free

Shaun Pelling’s creation, The Net Ninja, is famous for its top-notch tutorials covering web development and multiple programming languages like SQL. The SQL playlist on the channel discusses essential topics like SQL syntax, data manipulation, and complex queries. The tutorials are compact, adequately organized, and simple to understand, which makes them perfect for newcomers who wish to understand SQL principles quickly. Besides SQL, The Net Ninja offers thorough materials on associated technologies such as JavaScript, Python, and Node.js, establishing itself as a comprehensive educational platform for aspiring developers.

Key Features:

  • Concise and to-the-point tutorials.
  • Focus on practical examples and hands-on coding.
  • Engaging presentation style that simplifies complex topics.

Click here to access the YouTube Channel to Learn SQL.

Academind

Academind | 727 videos | 917K subscribers

Maximilian Schwarzmüller and Manuel Lorenz co-founded this popular YouTube channel known for providing various programming tutorials, including SQL. The SQL tutorials at Academind are just one component of a larger program covering web development, data science, and machine learning. The channel’s SQL tutorials are recognized for their hands-on approach, helping users learn how to write SQL queries, handle databases, and grasp relational database principles. Academind is perfect for students who value organized courses that progress from simple to complex subjects.

Key Features:

  • Practical, hands-on tutorials with real-world applications.
  • Focus on structured learning paths for comprehensive understanding.
  • Covers SQL along with other relevant programming and data science topics.

Click here to access the YouTube Channel to Learn SQL

Kudvenkat

kudvenkat | 1.8K videos | 833K subscribers

YouTube Channels to Learn SQL for Free

Kudvenkat’s YouTube channel is a valuable resource for those seeking to become experts in SQL Server. This channel is committed to offering detailed tutorials on SQL Server, encompassing a variety of subjects ranging from fundamental SQL commands to more advanced functionalities such as stored procedures, triggers, and enhancing performance. Kudvenkat is famous for his systematic and methodical approach to teaching, breaking down challenging subjects into smaller, more digestible components. His tutorials frequently consist of thorough explanations and illustrations, which enable learners of any proficiency level to understand them easily.

Key Features:

  • Comprehensive coverage of SQL Server and its features.
  • Clear, step-by-step instructions with practical demonstrations.
  • Focus on both fundamental and advanced SQL concepts.

Click here to access the YouTube Channel to Learn SQL

Database Star

databasestar | 225 videos | 58K subscribers

Database Star is a YouTube channel designed to help viewers become SQL experts. The channel offers practical tutorials on writing SQL queries, creating databases, and understanding SQL best practices. Database Star emphasizes giving straightforward and brief guidelines, frequently including practical instances to showcase SQL’s application in the professional field. The channel is ideal for individuals looking to enhance their SQL expertise and boost their database skills, as it focuses heavily on maximizing database performance and crafting efficient SQL queries.

Key Features:

  • Practical tutorials focused on SQL queries and database design.
  • Emphasis on SQL best practices and performance optimization.
  • Real-world examples that demonstrate professional SQL use.

Click here to access the YouTube Channel to Learn SQL

Chris’ Tutorials

ChrisTutorialsYT | 1.4K videos | 123K subscribers

YouTube Channels to Learn SQL

Chris’ Tutorials is a YouTube channel that offers easy-to-understand tutorials on different programming subjects, such as SQL. The SQL tutorials on the channel emphasize the basics, such as query writing, join usage, and database creation. Chris delves into SQL in data science, catering to those intrigued by the overlap of SQL and data analysis. The channel’s straightforward teaching style and practical examples make it an excellent starting point for SQL learners.

Key Features:

  • Beginner-friendly SQL tutorials that cover the basics.
  • Explores SQL in the context of data science and analysis.
  • Straightforward teaching style with practical examples.

Click here to access the YouTube Channel to Learn SQL.

Analytics Vidhya

@Analyticsvidhya | 1.2K videos | 77.7K subscribers

Analytics Vidhya is widely recognized for its practical, hands-on approach to teaching data science skills, and its YouTube channel is an excellent resource for learning SQL. SQL, or Structured Query Language, is a fundamental tool for anyone working with databases and data analysis. Their SQL tutorials are designed to explain the language’s core functionalities, such as querying databases, manipulating data, and performing advanced data operations. They also delve into real-world applications, showing how SQL can be used in data science projects, business analytics, and managing large datasets.

Key Features:

  • Covers the basics of SQL syntax and commands and more advanced topics such as complex queries and data aggregation.
  • Focus on practical, real-world applications, showing how SQL is used in data science and business analytics.
  • Detailed explanations and walkthroughs that help users understand both basic and complex SQL operations.
  • Experts in data science provide clear and concise instructions, making even challenging topics easy to understand.

Click here to access the YouTube Channel to Learn SQL

The SQL Guy

TheSQLGuy | 42 videos | 1.93K subscribers

The SQL Guy’s YouTube channel focuses solely on SQL, serving as a great resource for those looking to master the language. The channel discusses a range of SQL subjects, from fundamental SQL commands and syntax to advanced methods such as performance tuning and optimization. The SQL Guy’s tutorials are detailed and thorough, providing in-depth explanations that help viewers understand complex SQL concepts. This specialized focus makes the channel a valuable resource for SQL learners looking for targeted content.

Key Features:

  • Dedicated to SQL with a focus on both basic and advanced topics.
  • Detailed explanations and thorough coverage of SQL concepts.
  • Ideal for viewers who want specialized SQL tutorials.

Click here to access the YouTube Channel to Learn SQL

Conclusion

Expertise in SQL is a beneficial skill for individuals involved in data management, analysis, or database administration. With these 10 best YouTube channels, you have various options to select from, suitable for beginners and advanced learners. Whether you like short, focused tutorials or extensive, thorough courses, these channels offer top-notch content to assist you in reaching your SQL learning objectives. Begin delving into these channels today to elevate your SQL skills to the next stage!

Yana Khare
Yana Khare

A 23-year-old, pursuing her Master's in English, an avid reader, and a melophile. My all-time favorite quote is by Albus Dumbledore - "Happiness can be found even in the darkest of times if one remembers to turn on the light."

Free Courses

Generative AI 4.7

Generative AI - A Way of Life

Explore Generative AI for beginners: create text and images, use top AI tools, learn practical skills, and ethics.
Large Language Models 4.5

Getting Started with Large Language Models

Master Large Language Models (LLMs) with this course, offering clear guidance in NLP and model training made simple.
Prompt Engineering 4.6

Building LLM Applications using Prompt Engineering

This free course guides you on building LLM apps, mastering prompt engineering, and developing chatbots with enterprise data.
LlamaIndex 4.8

Improving Real World RAG Systems: Key Challenges & Practical Solutions

Explore practical solutions, advanced retrieval strategies, and agentic RAG systems to improve context, relevance, and accuracy in AI-driven applications.
RAG systems using LlamaIndex 4.7

Microsoft Excel: Formulas & Functions

Master MS Excel for data analysis with key formulas, functions, and LookUp tools in this comprehensive course.

Recommended Articles

Responses From Readers

Clear

Write for us

Write, captivate, and earn accolades and rewards for your work
  • Reach a Global Audience
  • Get Expert Feedback
  • Build Your Brand & Audience
  • Cash In on Your Knowledge
  • Join a Thriving Community
  • Level Up Your Data Science Game
imag

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details