Must-Read Data Science Blogs

Must Read Data Science Blogs

Data science and BI analytics is an undeniably intriguing technological specialization on the cutting edge of technological growth and innovation. Data scientists are highly regarded specialists in most firms since data science is becoming a more vital area as technology progresses. If a corporation wants to do sophisticated analysis and generate solid predictions based on its data sets, it will invest heavily in its data science strategy. As a data science expert, you may expect tough yet rewarding work. Blogs are one of the greatest ways to remain up to speed on some of the major changes and advances in any business, whether you’re well-established in the field or just considering a pivot to a data-focused profession.

12 Most Recommended Data Science Blogs You Should Know About

Table of Contents

Good data analysis blogs may save you a lot of time and research while also keeping you informed. Below are listed a few of the informative data analysis blogs.

1. Kaggle

Do you know where to find data sets utilized by data scientists? Kaggle is a website where you may browse through hundreds of public data sets to undertake data science and BI analytics projects. You may also compete with other specialists by performing data science jobs with their vast research database. You will not only have the opportunity to compete, but you will also have the opportunity to share information and receive comments from your peers. If you’re new to the industry, this is a wonderful place to start learning about raw data.

2. Flowing Data

If you are already aware of the vital aspects of data science, you’ll know that one of the most exciting aspects of data science is creating visualizations. Nathan Yau, a FlowingData author with a PhD in statistics from UCLA, has been devoting most of his time to developing COIVD data sets, looking at changes in airline flights, how social distancing works (and doesn’t), how stay-at-home orders vary by location, and more. Subscribers can also pay to have access to ‘The Process,’ a newsletter loaded with important modeling tasks and lessons.

3. Simply Statistics

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.

 

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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.

Conclusion

In the fast-paced world of data science and BI analytics, staying informed and always learning is critical. The aforementioned blogs provide a wide range of topics, catering to both novices and seasoned experts. Whether you’re looking for hands-on tutorials, industry insights, or cutting-edge research, these blogs are a great way to stay on top of the ever-changing area of data science.

If you want to explore the field of data science further, you should consider enrolling in the Post Graduate Certificate Programme in Data Science for Business Excellence and Innovation offered by IIM Nagpur. It is a great course for data science professional to uplift their career and rise to new heights. From identifying relevant use cases and exploring various tools, including Python, AL/ML, and Tableau to creating innovative strategies, you will navigate complex areas and attain competitive advancement.

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