Must-Read Data Science Blogs

12 Most Recommended Data Science Blogs You Should Know About

Simply Statistics is a wonderful choice if you want a no-nonsense approach to statistics and data science topics. Simply Statistics is a basic, easy-to-read structure with postings about quality statistical analysis, data science, and research. This blog was founded by three biostatistics academics who were inspired by the new era in which data is plentiful, and statisticians are becoming scientists. Topics include “People vs. Institutions in Data Analysis,” “Rethinking Academic Data Sharing,” and “How Do Machines Learn?”

4. Revolutions

If you believe in R, the Revolutions blog is for you. The site is updated almost daily and is a must-visit if you’re interested in Python, machine learning, and visualizations. It’s the place to go for weekly roundups on the newest software developments and industry news, as well as a constantly updated list of resources to help you learn. There’s also an exceptionally sophisticated user directory where you can identify the data science group and topic you’re most interested in–or form your own.

5. insideBIGDATA

Anything related to data science and machine learning, you will find covered in the insideBIGDATA blog. From podcasts to white papers, you can receive the inside scoop on business advancements, innovative AI forecasting methodologies, and a variety of industry viewpoints from data science specialists. Because of their regular long-form guides on anything from healthcare to exploiting big data on an industrial scale, here is also the place to get all of the important evaluations from Harvard, KDD, and insideBIGDATA themselves.

6. Towards Data Science

The popular data science podcast’s blog companion site is Towards Data Science. The website was created to allow data scientists to share ideas and improve on existing knowledge in the area. The information contributed by contributors is curated by a team of data science specialist editors. The “Towards Data Science” publication on Medium is a treasure mine of papers covering a wide range of data science subjects. The blog covers machine learning, data analysis, AI, and other topics with contributions from industry specialists. The variety of information assures that both newcomers and seasoned experts will get important insights.

 *sudeep.co

7. Data Camp

DataCamp, another strong hitter in the data science industry, features a plethora of articles on all things analytical as well as corporate updates. If you want to keep your skills current, here is a fantastic location to do it. It also features interviews with data science players and current events. A good general-purpose blog that doesn’t grow too heavy (unless you want it to). DataCamp, a platform that provides interactive data science classes, has a blog that covers a variety of subjects. The DataCamp Blog is a wonderful resource for both novices and seasoned practitioners, including everything from Python and R coding lessons to debates on the newest breakthroughs in machine learning.

8. Algobeans

Consider Algobeans to be the preparatory course for Data Science 101. It was written by Annalyn Ng, a senior data scientist at Amazon Web Services, and Kenneth Soo, who has a master’s degree in statistics from Stanford University, and it provides short explanations of essential topics without involving mathematics. Even if you’re well above the fundamentals, it’s still a very useful site for explaining what you do for a career to others (i.e., laymen). Given the importance of big data in people’s lives, it’s also a significant site for them.

9. Data Science Central

Data Science Central, a TechTarget network company, is the industry’s online hub for big data practitioners. Data Science Central offers a community experience in everything from analytics to data integration to visualization. The site has a variety of information, including webinars, free books, and forums. Analytics, business intelligence, and Hadoop are among the subjects covered on the website. The blog section of the site publishes around 24 items every week. Vincent Granville, executive data scientist and co-founder of Data Science Central, is one of the authors. Granville has 40 articles published in statistical publications and was a finalist in the Wharton School Business Plan Competition and the Belgian Mathematical Olympiads.

10. Subconscious Musings

Subconscious Musings is a data science blog from vendor SAS that presents the viewpoints of SAS data scientists as they reveal the technical methodologies used to tackle many of the hard challenges that organizations face today. The blog is thorough and popular among individuals interested in learning more about NLP, neural networks, AI, and other relevant topics. Brandon Reese, a senior machine learning developer in Scientific Computing R&D, demonstrates how to represent data as a network, run standard network science algorithms, and interpret the results, as well as Susan Kahler, a global product marketing manager for AI at SAS with a Ph.D. in human factors and ergonomics, are blog authors. She describes using analytics to measure and compare mental models of how people learn difficult procedures.

11. Women in Big Data

Women in Big Data was founded by big data specialists who wanted to see more gender diversity in the business. While there are many great data science pieces on this site, Women in Big Data’s strength is their coverage of industry events. Meetups, technical conferences, and data events are highlighted with extensive notes on presenters, key trends, and key takeaways. If you don’t have the time to attend industry events, keep an eye on their site, and you’ll find lots of important information.

12. Distill

Distill is a peer-reviewed academic publication that offers some of the most comprehensive multimedia data material available. The featured authors often have impeccable credentials in data science, machine learning, research, and other fields, making this blog a fantastic source of highly trustworthy, peer-reviewed material. If you need a deeper knowledge of difficult academic material, Distill may be able to assist you in seeing and internalizing it better than a conventional textbook. To illustrate what we mean, read their post on a moderate introduction to graph neural networks.