Data & Analytics newsletters

Jose Parreño Garcia writes about data science, machine learning and leading data teams, drawing on experience building teams at Skyscanner.

Milan Janosov's regular roundup on data science, geospatial analytics, network science and AI, spanning tutorials and research frontiers.

Dr Nilimesh Halder provides practical, example-driven guidance on modelling, forecasting and scenario-based analytics for advanced students and analytics consultants.

Data-led insights on product growth, data science and career growth for technology professionals.

Companion newsletter to the That Tech Pod podcast, covering eDiscovery, data privacy, cybersecurity and technology innovation.

Luke McLaughlin unpacks the science behind digital marketing, covering marketing analytics and evidence-based practice.

Engineering and data-science notes from the teams at Tonal, covering machine learning and software work behind the product.

Behind-the-scenes engineering notes from EDB, one of the largest contributors to PostgreSQL, covering database engineering topics.

e6data's Friday newsletter with a copy-paste tutorial, a cost-optimisation technique, conference calls for papers and ideas from the data-engineering field.

Animesh Gaitonde's weekly column explains databases, system design, architecture and engineering careers in accessible terms.

A community-driven newsletter with regular data-engineering updates, inspiration and insights for data teams.

Daniel Beach writes candidly about data engineering practice, data platforms and databases for working data engineers.

Madison Mae teaches practical analytics-engineering and SQL skills that data professionals can apply in everyday work.

KDnuggets' email newsletter covers data science, machine learning, AI, analytics, tutorials, industry news, jobs, and technical resources.

A practitioner-led newsletter about data engineering, MLOps, analytics platforms, consulting, technical careers, and operating modern data teams.

A weekly newsletter curating data science, machine learning, analytics, research, tutorials, and tools for data practitioners.

A free weekly deep dive into important artificial-intelligence and machine-learning research, products, papers, and technical developments for practitioners.

Ben Lorica's newsletter on AI engineering, data systems, machine learning, infrastructure, and important technical trends affecting modern AI teams.

A weekly MLOps newsletter sharing technical deep dives, tool insights, practitioner stories, production lessons, and community resources.

A weekly digest of analytics-engineering articles, ideas, practitioners, and adjacent data-stack developments from the dbt ecosystem.

A technical data and AI newsletter explaining machine learning, LLMs, agents, Python, and production engineering with concise practical lessons.