Top 11 Data Science Newsletters You Should Subscribe To
Staying on top of the latest trends in data science can feel like a full-time job, but newsletters make it a lot easier. With so many great ones out there, you can have expert tips, industry news, and valuable tutorials sent right to your inbox. In this blog, we’ve rounded up the top 11 data science newsletters you should subscribe to for a regular dose of insight and inspiration!
Data Elixir
Data Elixir has been appreciated for its curated collection of articles on the latest in data science, machine learning, and AI. It covers everything from technical breakthroughs to industry trends, making it a complete but concise source to keep updated with. Whether new to the field or seasoned, the weekly insights from Data Elixir keep you easily updated without information overload, so you can either dive deep or get a snapshot of the latest advancements in a breeze.
DataLemur
Join the 44,000+ other email subscribers in 43 countries who receive an email from DataLemur (and me!) around once a month with original guides on career advice for Software Engineers, Data Scientists, and other technical people. You can preview a few of my old guides I've emailed out, but my emails include extra links to interesting & helpful things I've recently read, along with some tips I can't publicly publish online 🙈. Sign up for DataLemur at any pricing tier (even the free one!) and get added to Nick Singh’s personal email Newsletter OR sign up here. And while you’re at it sign up for the Ace the Data Science Interview newsletter 9-day-crash course.
AI Snake Oil Newsletter
Those interested in a more interestingly skeptical yet insightful read should try the AI Snake Oil Newsletter. It covers the myths of AI, cuts through the hype with some sobering research in tow, and presents the view in a balanced way. This newsletter would be ideal for anyone interested in the realistic development of AI, promises, and pitfalls in the case of AI applications in both industry and society.
Machine Learning Diaries
Machine Learning Diaries shares stories from the trenches of Data Science. It hosts a mix of personal experiences added to professional insight by experts in this discipline. Each issue digs a little deeper into real-world applications, innovative research, and industrial challenges in implementing large-scale ML solutions. It gives every machine learning practitioner solid insights into the creative problem-solving approaches adopted for implementing ML across domains. This is one epic way to learn how ML is deployed in the real world from an insider's perspective.
Data Storyteller
The Data Storyteller targets anyone who is seeking to communicate data effectively. It goes into great detail on the various ways of transforming data into interesting stories and simplifying data insights that might be otherwise complicated to convey. For the data scientists who work with different kinds of stakeholders, this newsletter should help to enhance their storytelling abilities in such a way that strong and active communication of data is achieved.
O’Reilly Data Newsletter
The O'Reilly Data Newsletter curates remarkable content across the disciplines of data science, machine learning, and AI from the vast resource library of O'Reilly. Since the newsletter contains expert views, tutorials, and industry news, it acts as a trusted source to stay informed about the best practices, new tools, and trends. Given that it comes from the industry leaders themselves, it is among those go-to resources about learning and professional growth.
Data Science Weekly
A classic among data science newsletters, Data Science Weekly is packed with industry news, job listings, and technical tutorials. It contains handy and practical resources, including Python scripts, interview preparation hints, and event announcements- appropriate for both the novice and the seasoned data scientist trying to keep an edge in such a fast-changing field.
Data Analysis Journal
The intended readership for the Data Analysis Journal includes all those who believe that data science subjects are worth covering in detail- ideally, you enjoy deep dives into data science topics. This newsletter provides Data Scientists with how-to guides, technical descriptions, and case studies. Thus, it's a very good resource for data professionals looking to enhance their knowledge of data analysis methodologies, statistical techniques, and ways to handle complex data sets.
Analytics Engineering Roundup
Analytics Engineering Roundup focuses on data engineering and analytics workflows, offering insights into transforming raw data into actionable insights. It’s essential reading for data engineers and those who manage data pipelines, sharing practical solutions and best practices for handling big data, analytics infrastructure, and analytics engineering challenges.
All Hands on Data
All Hands on Data equips the beginner with no less information than it would the expert, be it on Data Visualization to Machine Learning Algorithms. This is a once-a-week newsletter that practically builds up or improves your Data Science competencies with content that's approachable to the new learner but detailed enough for advanced practitioners to find value in.
Data Engineering Weekly
Data Engineering Weekly, as the name suggests, is driven toward the topics of data engineering, big data, cloud computing, and distributed systems. This will be a useful resource for data scientists working on data infrastructure projects, since it highlights recent techniques and tools in managing complex data architectures, scaling systems, and optimization of data processing. Readers also get insights into best practices in the industry and hence become the guide to drive through challenges in data engineering within a modern organization.
Why Should I Subscribe to a Data Science Newsletter?
Staying updated in data science will help you stand out from other candidates during the interview process. Aside from helping you to expand your network, following the top Data Science LinkedIn Influencers will help you stay at the edge of what's happening and keep you on top of industry trends. Also meeting and networking with those in your field will help you get opportunities you might’ve thought were out of reach. My favorite way to network is through Data Science Conferences. If you can’t attend conferences in person, check out these Virtual Data Science Conferences for more accessible options.
With these 11 newsletters, you’ll be well-equipped to keep up with the latest in data science, sharpen your skills, and stay inspired along the way!