There are several resources out there that every data analyst must make use of. The journey to becoming a data analyst is not easy, and one would require all the help that is available by professionals, masters or researchers of the field.
Getting information from the internet involves following some online blogs that disseminate useful information on what is expected from every data analyst and the latest trends in the career path.
Data Analytics Blogs to Follow
This article is about some of the best blogs that a data analyst must follow. For easy readability, we are going to display the blogs in alphabetical order.
- Cross Validated
Cross Validated is a site offering questions and answers for data analysts. The questions often border on areas like machine learning, statistics, data visualization, mining, and analysis. Following this blog means signing up and becoming a member of the data analysts community in this domain. The blog is an extension of the Stack Exchange conglomerate.
- DSC (Data Science Central)
DSC is a huge community comprising professional data analysts and big data experts. Whatever resources would be needed to train and sharpen your data analytics skills are always shared on the blog.
The blog also offers a rich social platform, steady support on the forum, and some of the most recent information on IT, trends, and tools for the data analysis career
- DBMS2
Curt Monash is the founder of this blog that features a community of data analysts who make use of the different tools provided on this blog for their career enhancement. The tools encompass areas such as BI, data management, and trendy analytics techniques and technologies.
The blog allows followers to have a feel of and practice with data analytics tools such as PostgreSQL, Cassandra, Amazon Redshift Cloud, etc.
- Facebook Data Science Blog
Facebook Data Science Blog is a platform for data analysts – a scalable platform that supports the collection, mining, analysis, and management of data. Data analysts draw ideas from this platform and work with one another to bring about the success of a company.
There is also a platform for carrying out social science surveys both within and outside a company.
The take here is that this platform is not a site outside Facebook but a page consisting of Facebook’s data analytics team.
- Open – New York Times
If you are really wanting to have a nice time learning data analysis with machine learning, data science, and the likes, then this blog is one you must follow. The blog was inspired by a code that the development team of the New York Times wrote. Since then, there have been issues bordering on New York Times products and internal projects.
- O’Reilly Data Radar
This blog is almost all welcoming, whether you are dealing with software, or analyzing bulk data. There is also a large amount of information about upcoming events and opinions from members of the community on the data offerings.
The blog also allows followers to be privy to big data and its manipulations. It is hard to go wrong with O’Reilly if you are a serious data analyst.
- Quora
When it comes to analyzing big data within a large community of data analysts, Quora is one of the best places that come to mind. The huge forum offers questions and answers by fellow data experts, helping the great community to learn and expand.
Quora community has countless data science and analytics topics and even big data topics from which data analysts can learn.
Reddit is another large forum that data analysts cannot afford not to follow. The blog offers materials or resources involving machine learning, data analysis, and data science.
- R-Bloggers
The contents on the internet that is about R is being replicated or talked about on the R-Bloggers site. Fans of R all over the world are aware of this site and follow it to be updated with their favorite data analytics application.
- Simply Statistics
Three biostatistics experts – Jeff Leek, Roger Peng, and Rafa Irizarry, own this blog. These three experts of statistics spend their time writing about the subject (which mainly deals with data analysis).
Millions of people worldwide read their insightful posts, and they feature a forum where followers can share ideas, ask nagging questions, and find answers that can pave ways for their careers.
Many websites are not mentioned here that a data analyst can follow to find engaging career tools to keep them abreast of new changes in the industry, however, the mentioned are popular and with a large community too.
Being a member of these communities can be viewed as a form of a data analytics Bootcamp.
By definition, a data analytics Bootcamp provides intensive training on a particular idea and for a short period. If, as a data analyst, you get yourself involved in the resources that are steadily being served on these blogs, you would notice how sharp and up-to-date you have become in your career.
If you have zero knowledge of data analysis, you can enroll for a Bootcamp and follow the above blogs as a supplement to your learning.
Why Is A Data Analytics Bootcamp Important?
People prefer a data analytics Bootcamp for several reasons.
- Short Time Requirement and Low Cost
A Bootcamp does not require years to complete specialized learning. In few weeks or months at most, you should be done with your training, and from what we know, data analytics Bootcamp costs as low as $3000 to as much as $5000.
- Can Be Experimented With
Most people test different areas of data analysis via Bootcamp. They see where they fit in and go for it when enrolling for certificate degree courses. Even folks who have a career in a non-data analytic field can switch easily with the aid of Bootcamp.
- Job Opportunities
These days, companies now know the gravity of data. No wonder in the past three years, there has been more than 90% of the world’s total data being created. Such data are used in making crucial decisions for these companies helping them achieve success in terms of profitability and serving the right product to the right people.
However, data is just junk without analysts and so enrolling in a data analytics Bootcamp and acquiring data manipulation skills can place you in the right place for a high-in-demand job.