Best Youtube Channels for Data Science in 2024

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Whether you are a beginner or an experienced data scientist, these channels can help you improve your skills and knowledge in data science without the need to spend a lot. So, don’t miss the opportunity, and let’s dive into discovering the best YouTube channels for learning Data Science for free in 2024.

In recent years, data science has become an increasingly popular field due to the abundance of data and the need to extract valuable insights from it. While traditional learning methods can be costly and time-consuming, many aspiring data scientists are turning to YouTube to learn the necessary skills. In this article, we have compiled a list of the best YouTube channels for learning data science for free in 2024.

Best Youtube Channels for Data Science in 2024

The Importance of Data Science in 2024

More and more organizations are hiring data analysts and other data professionals due to their contribution to business decision-making. This is also reflected in the U.S. Bureau of Labor Statistics report, which estimates that employment growth for data scientists will increase by 36% between 2024 and 2031.

The Importance of YouTube as an Educational Platform for Data Science

The accessibility, diverse content, and engaging format of YouTube make it an ideal platform for learning data science. It allows learners to access high-quality lessons and lectures from experts around the world, often for free. This strategy helps individuals improve their skills and stay updated with the latest trends and technologies.

According to Semrush, YouTube is the second-most visited website in the world, with around 2.49 billion users regularly visiting it monthly. Although it has long been perceived as an entertainment platform, its role has been rethought, and it is now considered a powerful educational platform due to:

Accessibility: Videos can be accessed from any country and on any device. Users only need a high-speed internet connection and a computer, tablet, or smartphone.
Availability: Learning on YouTube is an experience available at no cost.
Diversity: With over 500 hours of content uploaded every minute on YouTube, there is a wide selection of content on topics related to data analysis and other fields.
Individual Pace: Users can access videos at any time, pause a video, replay certain parts of it, etc. Overall, everyone can study using YouTube videos at their own pace.
Live Streaming: YouTube supports live streaming, allowing teachers and content creators to conduct online lessons and webinars.
Interactivity: Comments under videos are like product reviews, helping to understand their value. Discussions also take place in the comment section, allowing you to talk about topics related to the video that interest you with others.

The Best YouTube Channels for Data Science in 2024

In 2024, several YouTube channels stand out for their exceptional content, engaging presentation styles, and practical insights. Below is a list of the best YouTube channels for data science in 2024.

Data School

Overview

The Data School channel, managed by Kevin Markham, focuses on practical skills in data science, especially using Python. Kevin's lessons are well-organized and suitable for both beginners and experienced data scientists.

Key Topics Covered

Python for data analysis
Machine learning using scikit-learn
Data processing with pandas

Why It’s Worth Watching

Data School emphasizes practical skills and real-world applications, making it an excellent resource for anyone looking to enhance their toolkit in data science.

Krish Naik

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Overview

The Krish Naik channel offers comprehensive lessons in data science, machine learning, and deep learning. His extensive industry experience adds significant value to his content.

Key Topics Covered

Python programming
Machine learning and deep learning
Deploying data science projects

Why It’s Worth Watching

Krish Naik’s practical insights and detailed explanations help viewers understand the real-world applications of data science concepts, making his channel extremely valuable for aspiring data scientists.

Data Professor

Overview

Shani Nantsanamath offers lessons in data science and bioinformatics. The content he provides is organized and easy to follow.

Key Topics Covered

Data science and machine learning
Bioinformatics
Python programming

Why It’s Worth Watching

He blends data science with bioinformatics, making his channel unique and providing valuable insights for learners interested in these fields.

Alex The Analyst

Overview

Alex The Analyst provides lessons and career advice for those interested in becoming data analysts. His content is particularly useful for those looking to enter the field of data analysis.

Key Topics Covered

SQL and data analysis
Data visualization
Career tips and resume advice

Why It’s Worth Watching

Alex’s practical tutorials and realistic career advice make his channel a valuable resource for anyone aiming to become a data analyst.

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Ken Jee

Overview

Ken Jee focuses on helping aspiring data professionals enter the field. His content includes tutorials, career advice, and interviews with industry professionals.

Key Topics Covered

Data science projects
Career guidance and job preparation
Machine learning

Why It's Worth Watching

Ken Jee's practical advice and insights are extremely valuable for anyone looking to start or advance their career in data science.

freeCodeCamp.org

Overview

freeCodeCamp.org provides a wealth of educational content on various programming and data science topics. Their detailed courses are comprehensive and accurate.

Key Topics Covered

Data science and machine learning
Python and JavaScript programming
Full stack development

Why It's Worth Watching

The in-depth and high-quality lessons available on freeCodeCamp.org make it an excellent choice for thorough learning at no cost.

Codebasics

Overview

Dhaval Patel offers tutorials on Python programming, machine learning, and data analysis. Dhaval’s clear explanations and practical examples are very helpful for learners.

Key Topics Covered

Python programming
Data analysis using Pandas
Machine learning algorithms

Why It's Worth Watching

Dhaval Patel's straightforward teaching style and focus on practical applications make Codebasics a great resource for data science enthusiasts.

StatQuest with Josh Starmer

Overview

StatQuest with Josh Starmer simplifies complex statistical concepts and makes learning fun and engaging. Josh's unique approach breaks down complex topics into digestible parts.

Key Topics Covered

Statistics from basic to advanced
Machine learning algorithms
Data visualization techniques

Why It's Worth Watching

Josh Starmer's clear explanations and use of simple graphics make complex topics accessible to everyone, making StatQuest essential for viewers who struggle with statistics and machine learning.

Corey Schafer

Overview

Corey Schafer offers a wide range of tutorials on Python programming, which is essential for data science. His clear and concise teaching style is highly appreciated by his audience.

Key Topics Covered

Python programming
Web development with Python
Best practices in software development

Why It's Worth Watching

Corey Schafer’s channel is perfect for those looking to build a strong foundation in Python, which is crucial for a successful career in data science.

Simplilearn

Channel Link: Simplilearn Official
Subscribers: 4.2 million

Simplilearn is the world's largest online bootcamp, based in San Francisco and Bangalore. This platform offers training courses in areas where technology is vital. You can find programs ranging from digital marketing specialists to Azure cloud engineers, each containing comprehensive training materials, practical exercises, and final exams.

Simplilearn has a YouTube channel with thousands of videos and millions of subscribers. The videos explain difficult topics in simple and understandable language, making this channel particularly suitable for beginners in data analysis.

365 Data Science

Channel Link: 365 Data Science
Subscribers: 317,000

365 Data Science is an online educational platform that offers dozens of courses and certification programs. It is suitable for those looking to start or change their career in data. Many courses are available for those who wish to enhance their knowledge and qualifications in data analysis and data science.

Best Videos:

How to Become a Data Analyst in 2024
The Best Chart Types
From Economist to Data Scientist
Why Is Linear Algebra Useful

DataCamp

Channel Link: DataCamp
Subscribers: 165,000

DataCamp is a popular educational platform offering courses in data analysis, data processing, software development, data engineering, artificial intelligence and machine learning, statistics, and more. These materials are suitable for both individuals and companies seeking to enhance their employees' skills in specific subjects.

The DataCamp YouTube channel provides some educational content and video courses. However, most of its content focuses on current trends in data, best practices for companies across various industries, and short lessons covering specific topics.

Best Videos:

A Beginner’s Guide to Data Analysis with SQL
The Future of Marketing Analytics

Skyvia

SkyviaChannel

Channel Link: Skyvia Channel

Skyvia is a comprehensive data platform designed for various data-related tasks, such as queries, backups, data integration, and creating ideal endpoints for data analysts. It supports processes from data collection to loading into business intelligence and analytics tools.

The Skyvia YouTube channel is one of the informative and educational resources provided by the company. Although it is not solely focused on data analysis or data science, it contains many videos that may be useful for professionals in this field. The most popular categories of videos on the channel include:

Webinars covering data-related topics
Video tutorials on Skyvia functions
Examples of data integration scenarios

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Criteria for Selecting the Best Channels

When choosing the best YouTube channels for learning data science, we consider the following criteria:

Content Quality: Accurate, reliable, and easy-to-understand content.
Presentation Style: Engaging and clear presentation that keeps viewers’ attention.
Depth and Coverage: A wide range of topics from basic to advanced levels.
Update Frequency: Regularly updated content to keep up with new developments in the field.
Community Interaction: Active engagement with the audience through comments and Q&A sessions.

Each channel presented in this article deserves your attention, although some may suit you better than others. The choice of the right channel depends on your background and future career goals.

If you want to start a career as a data analyst, then Simplilearn, DataCamp, and Alex The Analyst channels would help you. In case you’d like to switch your career path from data analyst to data scientist, feel free to focus on Ken Jee, 365 Data Science, and Data School channels.

If you’d like to master your programming skills, freeCodeCamp.org would be the best channel for that. To deepen your knowledge of statistics in data science, have a detailed look at the channel StatQuest with Josh Starmer. To gain more knowledge about tools for data preparation and analysis, look into Skyvia channels.