The Data Buzz series brings you a regular roundup of what’s trending in data science.
Data science is a fast-moving field – if you’re pursuing a data science career, or even if you’re just interested in data-related topics, you need to invest time to keep up with the trends. Following a few top blogs is a great way to stay abreast of developments in data analysis, statistical software, data visualization, and more. These ten bloggers consistently offer great resources and tutorials, along with opportunities to connect with and learn from other leading data science professionals.
Simply Statistics
Simply Statistics is managed by biostatistics professors Jeff Leek, Roger Peng, and Rafa Irizarry. Regular topics include expert opinions and insights into AI and data usage, and for up-and-coming statisticians, there’s a series of career-focused interviews with data scientists about the their roles within the industry.
Flowing Data
Flowing Data offers an extensive library of tutorials and resources for effective data visualization. Through engaging infographics, Dr. Nathan Yau demonstrates innovative approaches to making data readable and accessible.
Andrew Gelman
Andrew Gelman, Professor of Statistics and director of the Applied Statistics Center at Columbia University, is joined by several of his academic colleagues to provide technical commentary on statistical modeling, data analysis, and social science.
Inside Big Data
Inside Big Data covers current news and general announcements in Big Data and IT. Managing editor Daniel Gutierrez reaches out to fellow data scientists and industry experts to contribute interviews, white papers, and insights into advancements and applications of data analysis in other industries.
Data Science Central
Data Science Central is an active community forum that encourages data practitioners to share information on everything from deep learning accuracy reports to statistical software training.
O’Reilly On Our Radar
O’Reilly On Our Radar focuses on data culture and its influence. Academic and career data scientists consult O’Reilly for the latest research, industry developments, and studies on data science applications.
What’s the Big Data?
What’s the Big Data? is veteran data professional Gil Press’s blog. Press offers up data news, commentary about new innovations, and insights on Big Data’s impact in IT, businesses, and everyday life.
The Gradient Flow
The Gradient Flow is a popular blog managed by Ben Lorica, Chief Data Scientist at O’Reilly Media. Lorica presents in-depth reports on specialized topics such as machine learning and AI technologies.
Variance Explained
Variance Explained is a niche educational blog run by David Robinson, Data Scientist at Stack Overflow. Robinson takes a lighthearted approach to explaining complex data analysis methods and models.
Dataconomy
Dataconomy features big data news, reports on tech trends, and in-depth editorials from guest experts in the data science industry. With a free IT research library, a job board, and a series of beginner’s guides, Dataconomy is a comprehensive career-building resource for aspiring data scientists