January 8, 2024

Best YouTube Channels to Learn Data Science

Best YouTube Channels to Learn Data Science

Ever wondered how to unlock the secrets hidden in vast amounts of data and use them to make impactful decisions?

Start your journey to becoming a data wizard with the best YouTube channels to learn Data Science, where complex data becomes a playground for discovery and innovation.

10 Best YouTube Channels for Data Science – Overview

Here’s an overview of top 10 YouTube channels to learn Data Science, with links to their channel homepage:

S.No.Channel NameSubscribersNo. of VideosAvg Duration of VideosChannel Link
1Ken Jee255K28610 minSubscribe
2Krish Naik847K1,75310 minSubscribe
3Andreas Kretz170K28710 minSubscribe
4freeCodeCamp.org8.73M1,5532-3 hrsSubscribe
5Simplilearn3.58M7,07615 minSubscribe
6Siraj Raval761K46512 minSubscribe
7codebasics901K74915 minSubscribe
8Joma Tech2.27M9810 minSubscribe
9Data Professor172K32515 minSubscribe
10Analytics Vidhya49.8K8325 min, 1 hrSubscribe

Best YouTube Channels to Learn Data Science

Below is the list of best YouTube channels to learn Data Science:

1. Ken Jee

ken jee

Ken Jee’s channel is an excellent resource for anyone interested in data science. His teaching style is clear, concise, and engaging, utilizing a variety of visual aids like code examples and diagrams to explain complex concepts in data science.

The playlist “Data Science Project From Scratch” is a practical guide for those looking to undertake a data science project from the ground up. This series covers every step of a data science project, including project planning, data collection, data cleaning, exploratory data analysis, model building, putting the model into production, and documenting the work.

The playlist also includes unique projects like building a burrito dashboard and a YouTube data dashboard with Streamlit, as well as a beginner Kaggle data science project walkthrough.

Joined: Feb 28, 2014

Views: 8,768,214 views

Subscribers Count: 255K subscribers

Consistency of Updates: Monthly 2 videos

Total Number of Videos: 286 videos (Playlist: 11 videos)

Average Duration of Videos: 10 minutes

Teaching Style: Clear, concise, and engaging. He uses a variety of visual aids, such as code examples and diagrams, to help explain complex concepts.

Interactive Elements: Live coding and Podcasts.

Language: English

View Playlist

2. Krish Naik

krish naik

Krish Naik’s channel is a fantastic resource for those interested in project-based practical learning in the field of data science. His videos are known for being fun, informative, and particularly helpful for those looking to apply data science concepts in real-world scenarios.

The playlist “End To End Data Science Playlist- Get Prepared With Industry Ready Projects” focuses on the entire lifecycle of a data science project. This series covers everything from project planning to deployment, offering a comprehensive view of data science initiatives.

Topics include machine learning project planning, data collection and cleaning, exploratory data analysis, model building, model evaluation, hyperparameter tuning, creating prediction pipelines, and deploying projects in cloud environments like AWS and Azure.

Joined: Feb 11, 2012

Views: 85,794,114 views

Subscribers Count: 847K subscribers

Consistency of Updates: Weekly 2 videos

Total Number of Videos: 1,753 videos (Playlist: 21 videos)

Average Duration of Videos: 10 minutes

Teaching Style: Project-based practical learning. Fun and informative videos.

Interactive Elements: Code examples, regular live streams

Language: English

View Playlist

3. Andreas Kretz

andreas kretz

Andreas Kretz’s channel is a valuable resource for those interested in data engineering, offering a theoretical and academic approach to teaching. His videos are well-organized and structured, often delving into the underlying mathematics and statistics behind data science concepts.

The playlist “Learn Data Engineering” is a comprehensive series that covers a wide range of topics in data engineering. This includes tutorials on AWS DynamoDB schema design, setting up GitHub for data projects, Python’s future in data science, choosing between Scala or Java, cloud providers comparison (GCP vs AWS), starting data engineering projects, and more. The series also discusses various tools and platforms relevant to data engineering, such as AWS Athena, Apache Hive, and Snowflake, and addresses questions like whether data analysts will be replaced by AI.

Joined: Apr 18, 2017

Views: 1,881,237 views

Subscribers Count: 170K subscribers

Consistency of Updates: Monthly 1 video

Total Number of Videos: 287 videos (Playlist: 130 videos)

Average Duration of Videos: 10 minutes

Teaching Style: Theoretical and academic. He often goes into depth about the underlying mathematics and statistics behind data science concepts. His videos are well-organized and structured.

Interactive Elements: Live streams

Language: English

View Playlist

4. freeCodeCamp.org

freecodecamporg

freeCodeCamp.org’s channel is a renowned platform for project-based learning in various tech fields, including data science. The channel is known for its comprehensive and in-depth tutorials, making it a go-to resource for learners at all levels.

The playlist “Data Science” by freeCodeCamp.org is a thorough compilation of tutorials and courses covering a wide array of data science topics. This includes full courses on data science for beginners, university-level courses on statistics, Python for data science, data analysis with Python, data visualization with D3.js, R programming, and more.

The playlist also features specialized topics like Python for bioinformatics, deep learning with PyTorch, Tableau for data visualization, and even a full mock data science job interview. This playlist is ideal for anyone looking to dive deep into the world of data science, from foundational concepts to advanced applications.

Joined: Dec 17, 2014

Views: 631,394,010 views

Subscribers Count: 8.73M subscribers

Consistency of Updates: 2 videos weekly

Total Number of Videos: 1,553 videos (Playlist: 20 videos)

Average Duration of Videos: 2-3 hours long videos

Teaching Style: Project-based learning

Interactive Elements: Live streams, conferences, polls, and quizzes

Language: English

View Playlist

5. Simplilearn

simplilearn

 

Simplilearn’s channel is a comprehensive platform for structured and comprehensive learning, especially in the field of data science. Their instructors, mostly industry professionals, deliver clear and concise explanations with a focus on practical application.

The playlist “Data Science | Data Science Full Course | Data Science For Beginners | Data Science Projects | Updated Data Science Playlist 2024” is a thorough compilation of tutorials and courses covering a wide array of data science topics. This includes introductory videos on what data science is, full courses on data science for beginners, tutorials on Python for data science, data analysis with Python, machine learning algorithms like linear regression, logistic regression, decision trees, random forest, and KNN.

The playlist also features specialized topics like time series analysis, data visualization with R, and statistical analysis for business applications.

Joined: Oct 29, 2009

Views: 323,995,405 views

Subscribers Count: 3.58M subscribers

Consistency of Updates: Daily uploads

Total Number of Videos: 7,076 videos (Playlist: 159 videos)

Average Duration of Videos: 15 minutes

Teaching Style: Structured, comprehensive approach. Their instructors, mostly industry professionals, deliver clear, concise explanations with a focus on practical application.

Interactive Elements: Code alongs, regular live streams and podcasts.

Language: English

View Playlist

6. Siraj Raval

siraj raval

Siraj Raval’s channel is known for its energetic and engaging approach to teaching data science, particularly through the use of Python. His style involves using real-world examples and projects to make complex concepts more accessible and engaging.

The playlist “Learn Python for Data Science” by Siraj Raval is a focused series aimed at teaching Python specifically for data science applications. This series covers a variety of topics, including an introduction to Python for data science, Twitter sentiment analysis, recommendation systems, predicting stock prices, deep dream in TensorFlow, and genetic algorithms. Each video in the series is designed to provide practical, hands-on experience with Python, applying it to real-world data science problems.

Joined: Jan 2, 2016

Views: 49,956,579 views

Subscribers Count: 761K subscribers

Consistency of Updates: Monthly 2 videos

Total Number of Videos: 465 videos (Playlist: 6 videos)

Average Duration of Videos: 12 minutes

Teaching Style: Energetic, uses real-world examples, projects

Interactive Elements: Live coding sessions, Q&A discussions

Language: English

View Playlist

7. codebasics

codebasics

codebasics’ channel is a fantastic resource for those interested in learning data science, particularly through Python. The channel’s teaching style is fun and engaging, using humor and pop culture references to explain complex concepts in small, digestible chunks.

The playlist “Data Science Full Course For Beginners | Python Data Science Tutorial | Data Science With Python” is a comprehensive series that covers a wide range of data science topics. This includes an introduction to data science, data science roadmap, business math & statistics using Excel, Data Science tutorials, Python programming tutorials, and various machine learning tutorials. The series also delves into specific machine learning algorithms like linear regression, logistic regression, decision trees, and more.

It also includes practical projects like real estate price prediction and image classification, offering hands-on experience in applying data science concepts.

Joined: Nov 7, 2015

Views: 64,154,990 views

Subscribers Count: 901K subscribers

Consistency of Updates: Weekly 1 video

Total Number of Videos: 749 videos (Playlist: 122 videos)

Average Duration of Videos: 15 minutes

Teaching Style: Fun, engaging, humor, pop culture references, explains complex concepts in small chunks

Interactive Elements: Projects, challenges, live Q&A sessions, code snippets in descriptions

Language: English

View Playlist

8. Joma Tech

joma tech

Joma Tech’s channel is a popular destination for those interested in data science and analytics. Known for its practical and hands-on approach, the channel focuses on teaching viewers how to apply data science skills to solve real-world problems.

The playlist “Data Science Analytics Videos” includes a variety of content related to the field of data science. This series covers topics such as the real essence of data science, types of data science interview questions, tips for getting a data science job, interviews with industry professionals, and day-in-the-life videos to give viewers a glimpse into the life of a data scientist.

The playlist also addresses more specific topics like data science in different industries, the differences between data scientists and data engineers, and insights into why someone might leave a data science job at a major tech company.

Joined: Sep 1, 2016

Views: 179,299,524 views

Subscribers Count: 2.27M subscribers

Consistency of Updates: Irregular

Total Number of Videos: 98 videos (Playlist: 8 videos)

Average Duration of Videos: 10 minutes

Teaching Style: Practical and hands-on. He focuses on teaching viewers how to apply data science skills to real-world problems.

Interactive Elements: Project breakdowns and Resume templates.

Language: English

View Playlist

9. Data Professor

data professor

Data Professor’s channel is an excellent resource for those interested in data science. His teaching style is friendly and approachable, breaking down complex concepts into easy-to-understand steps, and often using humor to keep viewers engaged. The videos are well-edited and visually appealing, making learning both informative and enjoyable.

The playlist “Data Science 101” is a collection of explainer videos on various concepts in data science. This series covers a wide range of topics, including the art of learning data science, creating a personal data science learning curriculum, getting started with specific data science challenges, and building a data science resume.

The playlist also includes practical guides on using tools and platforms relevant to data science, such as Pandas, Streamlit, and Google Colab, as well as insights into the data science process, machine learning model building, and computational drug discovery.

Joined: Aug 17, 2019

Views: 5,575,943 views

Subscribers Count: 172K subscribers

Consistency of Updates: Monthly one video

Total Number of Videos: 325 videos (Playlist: 82 videos)

Average Duration of Videos: 15 minutes

Teaching Style: Friendly and approachable. He breaks down complex concepts into easy-to-understand steps and uses humor to keep viewers engaged. His videos are well-edited and visually appealing.

Interactive Elements: Quizzes and polls

Language: English

View Playlist

10. Analytics Vidhya

analytics vidhya

Analytics Vidhya’s channel is a comprehensive resource for anyone interested in data science, offering well-produced and informative content.
The playlist “Data Science Free Courses – For Beginners Data Scientist Career Path & Crash Course [Tutorials Updated 2023]” is designed to help beginners start their journey in data science. This series covers a wide range of topics essential for aspiring data scientists.

It includes tutorials on creating a data science roadmap for 2024, a full Python programming course, statistics for data science, machine learning, deep learning, Python for data science, natural language processing, SQL, and tips on cracking data science interviews.

Joined: Jun 2, 2014

Views: 2,088,746 views

Subscribers Count: 49.8K subscribers

Consistency of Updates: Daily uploads

Total Number of Videos: 832 videos (Playlist: 9 videos)

Average Duration of Videos: 5 minutes short videos, 1 hour long videos.

Teaching Style: Well-produced and informative. Many instructors mix theory and practical ways of teaching.

Interactive Elements: Quizzes and live streams.

Language: English

View Playlist

Frequently Asked Questions

1. What are the best YouTube channels for learning Data Science?

The best YouTube channels for learning Data Science are Ken Jee, Krish Naik, Andreas Kretz, freeCodeCamp.org, Simplilearn, and Siraj Ravel.

2. Why should I choose YouTube for learning Data Science?

YouTube offers diverse teaching styles, practical examples, and a wide range of Data Science content for free, suitable for all learning levels.

3. How do I choose the right YouTube channel for learning Data Science?

Look for channels that match your learning style, cover the topics you’re interested in, and have positive user engagement and reviews for learning Data Science.

4. Can a beginner learn Data Science effectively through YouTube channels?

Yes, many YouTube channels provide beginner-friendly Data Science tutorials with step-by-step instructions and real-world examples.

5. How important is the instructor’s expertise in these Data Science YouTube channels?

Instructor expertise is crucial as it ensures accurate, up-to-date information and effective teaching methods for Data Science.

6. Are there YouTube channels for Data Science that offer content in multiple languages?

Yes, some channels like Simplilearn offer Data Science content in multiple subtitles, catering to a diverse audience with a global reach.

Final Words

These YouTube channels stand as invaluable guides in your Data Science adventure, offering the insights and hands-on skills necessary to navigate and excel in the ever-evolving world of data.

Keep checking this article as we will keep updating this space as more YouTube channels make space in the heart and study schedule of students preparing for placements and competitive exams.


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Thirumoorthy

Thirumoorthy serves as a teacher and coach. He obtained a 99 percentile on the CAT. He cleared numerous IT jobs and public sector job interviews, but he still decided to pursue a career in education. He desires to elevate the underprivileged sections of society through education

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thirumoorthy

Thirumoorthy

Thirumoorthy serves as a teacher and coach. He obtained a 99 percentile on the CAT. He cleared numerous IT jobs and public sector job interviews, but he still decided to pursue a career in education. He desires to elevate the underprivileged sections of society through education

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