16 Must-Subscribe Data Science Newsletters for 2024
Drowning in a sea of data? Feeling overwhelmed by the constant flow of information and struggling to identify the most relevant insights for your data science projects? You're not alone.
Here are some of the best data science newsletters for managers to learn about new technology, spark inspiration, and tackle data challenges with confidence!
Best Data Science Newsletters Shortlist
Here's a shortlist of the best data science newsletters I think are worth joining in 2024:
- Data Science Weekly — For comprehensive industry updates
- DataTalks.Club — For community-driven insights
- TLDR — For tech and data science summaries
- Data Elixir — For curated data science news
- Data Umbrella — For diversity in data science
- KD Nuggets — For data science tutorials and resources
- All Hands On Data — For practical data science tips
- Data Machina — For machine learning trends
- Ahead of AI — For AI advancements
- O’Reilly Data Newsletter — For expert data analysis
- Modern Data Stack — For modern data tools
- Academic Data Science Alliance — For academic research
- Big Data News Weekly — For big data developments
- Data Science Central — For data science community news
- Data Science Dojo — For data science education
- Open Data Science — For open-source data projects
Find more details about each newsletter below.
Best Data Science Newsletters Overviews
1. Data Science Weekly — For comprehensive industry updates
Data Science Weekly is a free newsletter that provides curated news, articles, and jobs related to data science.
- Audience: Data science professionals and enthusiasts
- Size: 60,000+ subscribers
- Frequency: Weekly
- Cost: Free
- Subscribe Here
Why Subscribe:
Data Science Weekly is designed to keep subscribers informed about the latest developments in the field. The newsletter's curated content ensures readers receive high-quality information without sifting through multiple sources.
2. DataTalks.Club — For community-driven insights
DataTalks.Club is an online community for data enthusiasts that offers articles, events, podcasts, books, and courses.
- Audience: Data enthusiasts and professionals
- Size: 45,000+ subscribers
- Frequency: Weekly
- Cost: Free
- Subscribe Here
Why Subscribe:
DataTalks.Club offers a free weekly newsletter that keeps subscribers informed. Subscribers benefit from a wealth of resources, including free courses and weekly events, making it a platform for continuous learning and networking.
3. TLDR — For tech and data science summaries
TLDR delivers summaries of the most interesting stories in startups, tech, and programming.
- Audience: Tech enthusiasts and professionals
- Size: 1,250,000 subscribers
- Frequency: Daily
- Subscribe Here
Why Subscribe:
TLDR is ideal for busy professionals who want to stay informed about the latest tech and data science news without spending too much time. The concise format ensures that readers get the most important updates in just a few minutes each day.
4. Data Elixir — For curated data science news
Data Elixir is a weekly newsletter that provides top picks from around the web in the field of data science.
- Audience: Data science professionals and enthusiasts
- Size: 55,000+ subscribers
- Frequency: Weekly
- Subscribe Here
Why Subscribe:
Data Elixir offers a curated mix of high-quality content from around the web, a great resource for staying updated on the latest trends and developments in data science. The newsletter's focus on machine learning, data visualization, and analytics ensures readers receive valuable insights and resources.
5. Data Umbrella — For diversity in data science
Data Umbrella is a community-driven newsletter that focuses on promoting diversity in data science. It organizes events and provides resources for underrepresented groups in the field.
- Audience: Data science professionals and enthusiasts
- Size: 1,000+ subscribers
- Subscribe Here
Why Subscribe:
Data Umbrella is dedicated to fostering diversity and inclusion in the data science community. Subscribers benefit from access to events, resources, and a supportive network that aims to create a more inclusive environment in the field.
6. KD Nuggets — For data science tutorials and resources
KD Nuggets newsletter covers a wide range of topics, including career advice, data engineering, NLP, and programming.
- Audience: Data science professionals and enthusiasts
- Size: 70,000+ subscribers
- Frequency: Weekly
- Cost: Free
- Subscribe Here
Why Subscribe:
KD Nuggets offers a wealth of resources, including tutorials, cheat sheets, and tech briefs, making it an invaluable resource for anyone looking to deepen their knowledge in data science and related fields.
7. All Hands On Data — For practical data science tips
All Hands On Data is a weekly newsletter that provides articles, podcasts, and video content on various data topics.
- Audience: Data science professionals and enthusiasts
- Size: 1,000+ subscribers
- Frequency: Weekly
- Subscribe Here
Why Subscribe:
All Hands On Data offers a unique perspective on data science by providing a "boutique library" approach to content. It aims to keep subscribers updated on the latest developments in the data sphere.
8. Data Machina — For machine learning trends
Data Machina is a weekly newsletter that provides a deep dive into the latest AI and machine learning research, projects, and repositories.
- Audience: AI and machine learning professionals and enthusiasts
- Size: 18,000+ subscribers
- Frequency: Weekly
- Subscribe Here
Why Subscribe:
Data Machina offers an excellent resource for staying updated on cutting-edge research and developments. The newsletter's focus on practical applications ensures that readers receive valuable insights and tools.
9. Ahead of AI — For AI advancements
Ahead of AI is a newsletter that specializes in machine learning and AI research. It is read by tens of thousands of researchers and practitioners.
- Audience: AI researchers and practitioners
- Size: 50,000+ subscribers
- Frequency: Monthly
- Subscribe Here
Why Subscribe:
Ahead of AI provides in-depth coverage of the latest AI and machine learning research, an invaluable resource for professionals looking to stay ahead in the field. The newsletter's focus on technical discussions and research summaries ensures that readers receive high-quality, actionable insights.
10. O’Reilly Data Newsletter — For expert data analysis
The O'Reilly Data Newsletter offers news, insights, and exclusive content, including the Next Economy Newsletter and the Radar Trends to Watch.
- Audience: Data science professionals and enthusiasts
- Frequency: Weekly and Monthly
- Subscribe Here
Why Subscribe:
O’Reilly Data Newsletter provides expert analysis of the latest trends in data science and technology. Subscribers benefit from exclusive content and offers, a valuable resource for staying informed and ahead of the curve.
11. Modern Data Stack — For modern data tools
The Modern Data Stack newsletter offers weekly editions with articles on topics such as Apache Airflow, cutting-edge tools, and map-based business intelligence applications.
- Audience: Data management professionals and enthusiasts
- Frequency: Weekly
- Subscribe Here
Why Subscribe:
Modern Data Stack provides practical tips and resources for building and operating a modern data stack. Subscribers receive weekly updates on the latest tools and techniques for continuous learning and improvement in data management.
12. Academic Data Science Alliance — For academic research
The Academic Data Science Alliance covers topics related to data science, open science, open scholarship, and career development.
- Audience: Academic researchers and data science professionals
- Size: 8,500+ subscribers
- Subscribe Here
Why Subscribe:
Academic Data Science Alliance provides a platform for collaboration and knowledge sharing within the academic data science community. Subscribers benefit from access to the latest research, debates, and developments in the field.
13. Big Data News Weekly — For big data developments
Big Data News Weekly provides curated news, articles, and job listings related to big data, data science, Hadoop, AI, AI tools, machine learning, and analytics.
- Audience: Big data professionals and enthusiasts
- Size: 10,000+ subscribers
- Frequency: Weekly
- Cost: Free
- Subscribe Here
Why Subscribe:
Big Data News Weekly offers an overview of the latest developments in big data and AI. Subscribers receive curated content that covers a wide range of topics.
14. Data Science Central — For data science community news
Data Science Central provides news and analysis on big data, covering technical topics as well as business and sector topics related to AI.
- Audience: AI practitioners and data science professionals
- Size: 5,000+ subscribers
- Frequency: Weekly
- Subscribe Here
Why Subscribe:
Data Science Central offers a wide range of content, including articles, videos, and podcasts, a valuable resource for AI practitioners and data science professionals.
15. Data Science Dojo — For data science education
Data Science Dojo provides information about upcoming boot camps and courses, including online and in-person options for data science and machine learning training.
- Audience: Data science learners and professionals
- Size: 10,000+ subscribers
- Frequency: Weekly
- Cost: Free
- Subscribe Here
Why Subscribe:
Data Science Dojo aims to make data science accessible to everyone by offering a wide range of training programs and resources. Subscribers benefit from detailed information about the latest developments in the AI industry.
16. Open Data Science — For open-source data projects
The Open Data Science newsletter offers frequent updates on the latest in data science and AI, covering technical tutorials, research coverage, career advice, and business implementation.
- Audience: Data science professionals and enthusiasts
- Size: 15,000+ subscribers
- Frequency: Weekly
- Subscribe Here
Why Subscribe:
Open Data Science provides an overview of the latest developments in data science and AI. Subscribers benefit from curated and original content, a great resource for staying informed and up-to-date with the latest trends and best practices.
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