The 50 Best Data Science Blogs That Every Data Analyst Should Follow

Data science is a combination of various machine learning principles^[1] along with tools and
algorithms to analyze raw data and conclude hidden patterns or
predictions. Data science does not only provide predictive casual
analytics and perspective analytics but also machine learning for
making predictions and pattern discovery. With these complex and
meaningful analytics, it finds the critical insights out of
anything that can help to enhance the value. There are a huge
number of blogs that talk about all these data science projects and
helps to enlighten its users about the new technology.

Best Data Science Blogs Available
Online

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Data science is an evergrowing field of computer science, and it is difficult to
keep pace with the trendy additions all the time. The
below-mentioned blogs of data science will help you to keep updated
and stay ahead in the competition.^[2]

1. Oracle AI and Data Science
Blog

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After acquiring Datascence.com back in 2018, Oracle
started focusing on the utilization of Machine learning for its
customers. Oracle always wanted to enable people to leverage the
power of AI with the combination of big data and data analytics.
This big data blog can be seen as a part of this goal as it
emphasizes the impact of big data and AI on various applications of
our regular life.

Besides, how we can transform the data catalog to get more
insight from a business alongside the extraction of business value
is discussed in Oracle AI and Data Science Blog^[3]. If you are planning to
start your career in this field, you can follow this blog as you
will get everything that you must understand to become a data
scientist in 2020.

---

This Belgium based data science community is publishing big
data-related content to minimize the gap between data science and
common people since 2015. The blogs are available for free, and you
will get all of them in their archives. They are intended to
generate solutions for the challenges that we face in our
day-to-day life through data analytics.
^[4]

They are focused on educating and empowering people while the
scholar and professionals are also included among their target
audience. It can be seen as a bridge between academics and business
as it highlights the power of big data and the value it can add to
any business. NGO  workers, business leaders, data
enthusiasts, university professors, and also Ph.D. students share
their skills and experiences through this blog.

3. Foxy Data Science

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This ad-free modern data science blog is maintained by Dr.
Zacharias Voulgar, who has experience of working with Microsoft. He
started this blog to help and inspire people who love to think out
of the box by enlightening them with the door of opportunities that
AI can open. It discusses the quality and creativity that one
should have to shine in this field.


If you are a beginner and want to know how
data can become influential information, then you can follow this
blog. Foxy Data Science^[5]
is designed to meet the requirements of all education levels.
Although the frequency of this big data blog may vary from five to
six months, it comes with innovative ideas, articles, case studies,
stories, and anything related to the data science field.

4. Appsilon Data Science
Blog

---

Leading engineers power this big data blog. They have the
common goal of serving people through the implications of data
science and its applications in every aspect of any organization.
Appsilon Data Science Blog^[6] is focused on delivering
innovative solutions for the business so that they can take the
benefits of big data and machine learning to meet the business
objectives and gain revenue as well.

The best part of the blog is they are always up to date.
They pick the latest trends or problems and apply their knowledge
to discuss a possible solution. Besides, if you are an entrepreneur
and looking to build an AI model for your business, you can have a
look at their video tutorials and graphical representation of large
data sets.

5. DSI Analytics – Data Science
Insights

---

This big data blog is arranged by David Stephenson, who
has already served top listed universities. He loves to share his
experience and knowledge that he has collected throughout his life
while working for tech giants and leading companies like eBay,
Adidas, Coolblue, Axel Springer, Randstad Group, ABN Amro, and so
on. He also loves to share many articles so that businesses can
identify their needs and take action accordingly.

DSI Analytics^[7]
gives data strategies the most priority so that businesses can
create new opportunities and offer better products to meet the
demand of their potential customers. The author has a mindset to
help businesses by creating new ways to handle the massive amount
of data and extract value out of it. You can follow this blog to
get practical knowledge, advice, and explanations of various topics
in this field.

6. Becoming A Data
Scientist

---

Probably, you can already guess the contents of this blog
by reading the name. Yes, it portrays the career path of becoming a successful data
engineer^[8]. Starting from the
basics, it highlights all the essential topics you must learn to
get a job and become a certified data professional. You will also
find podcasts on their website that you can listen to make your
leisure hours more productive.

You will get all the important articles and tutorials
under one umbrella. Becoming A Data Scientist^[9] also discusses the
data science books^[10] that one must read to
increase knowledge. It is arranged by Renee M. P. Teate, who is
currently working to build a data science learning directory known
as DataSciGuide.com. She loves to share her experience and goals
and also highlight the mathematical part like linear algebra,
calculus, matrices, and statistics required for data
analytics.

7. DataRobot | Machine Learning
Software

---

This is one of the best platforms when it comes to
learning machine learning techniques and led by industry leaders
and engineers. DataRobot^[11] is designed to empower
and help data scientists of all levels. It discusses everything you
need to know in ML-like predictive modeling, automated time series,
and so on. You will also get information on deploying learning
models faster and generating cost-effective solutions.

Unlike other big data blogs in this list, this one takes
machine learning to the next level by discussing the opportunity it
can create in industries like the financial market, manufacturing,
agriculture, retailer, robotic process automation, fintech, and
public sectors as well. You can follow this blog to gain knowledge
on tabular data, deep learning, automated AI, visual AI, and
techniques to reduce the hardware and infrastructure
costs.

8. Data Science Consulting
LLC

---

This big data blog is hosted by a company based in Florida and
delivers solutions for the companies. They have a reputation for
serving intelligent technologies and incorporating data
science techniques to derive solutions. They maintain this
blog to help students prepare themselves for this competitive job
sector. If you have a plan to start your career in this field,
Data Science Consulting LLC^[12] can be an ideal
guideline for you.

This blog distributes the contents in four categories that
include analytics, SaaS, marketing, and a dedicated category to
highlight the difference between ML, Data Science, AI, Deep
Learning, and Statistics. You may also be interested in exploring
the projects they are showcasing on their website. Get an
opportunity to use existing data sets and discover hidden patterns
for predictive analysis.

9. AnalytiXon

---

If you are looking for a blog that covers all the branches
of data science, then this is one of the best data science blogs
available out there. It helps you to explore the diversifying
opportunities that can be created and applied to the existing
industry for adding value. It also displays the career path of
becoming a powerful candidate in this field as well.


AnalytiXon^[13] takes NLP, text and
data mining, R programming language, statistical and soft computing
seriously to enable its audience to take strategic discussions.
Business analytics, Econometrics, Visualization, and knowledge
discovery are also part of their topic. They release at least
eleven blogs per week and have been maintaining them since 2013.
They are helpful, and in case there is confusion, you can ask them
by reaching out to their email.

10. Springboard

---

This data science blog is powered by Springboard, and you
can expect the top-notch quality from this. The representation of
this blog is lucrative and ready to draw the attention of any
reader.  They try to keep things simple and close to general
data science concepts. It delivers data scientist’s experience^[14] and stories so that you
can make faster decisions.

Springboard^[15] love to share the
latest activities and researches conducted by the scientists
through this blog and bring light on the latest additions to this
field of computer science. This site is updated regularly with new
topics and contents. If you are looking to build a career in deep
learning or AI, you can follow this blog to get career tips and
guidance as well.

11. Data Science at
NIH

---

This is one of the most popular data science blogs
available out there. It is developed by the national health
institute of Bethesda, who has been working on using data science
for advanced research. You will also get a brief description of how
data science is fueling the bio-medical technologies to provide
better healthcare.

Data Science at NIH^[16] gets many visitors
every year as they stand at the 21st position in the Alexa website
ranking, which proves its authentication and reliability. The
frequency of this blog is thirty posts per year. It focuses on the
data sources and how we can collect trustworthy datasets for
overcoming the problems of outliers or suspicious data. Alongside
organizational data structures, security, management of
intellectual properties are also discussed.

12. Socrates Data Science
Blog

---

This is a great data science-based blog that covers
everything; then, you need to become a hero from zero in this
industry of big data. The author of this blog is Socrates
Krishnamurthy, who has already worked in many governments, private,
and corporate projects. He discusses the problems he has faced and
how he overcame them to reach the goal of this blog
site.

You will get all the tips and tricks that can help to face
the challenges in this field. Besides, essential tools to
facilitate any big data project will be discussed so that you can
grow interested in participating in the data science competitions.
Socrates Data Science Blog^[17] brings light on topics
like K-means clustering, cross-validation techniques, data
permutation, machine learning models, Feature Engineering, Feature
Extraction, and Feature Selection as well.

13. ERDataDoc

---

Randy Thompson has arranged this blog to minimize the gap
between healthcare providers and data science. ERDataDoc^[18] works as a bridge
between the physicians and big data so that the improvement of
organizational dynamics and faster development can be achieved. He
talks about healthcare analytics and how a medical organization can
be benefited if they employ data scientists.

Predictive monitoring is the main topic of this blog. It
tries to emphasize the power of data that can be used to monitor a
patient’s current situation and predict the future that is going to
happen with the patient. The best part of this blog is it
identifies a problem that can be easily overcome if we can
incorporate data science techniques like predictive algorithms and
behavior analysis to the existing system and
infrastructure.

14. Data Science
Unicorn

---

This blog of data science holds everything you need to
know in this field and progress your career by enhancing knowledge.
Besides, it comes with data science articles, podcasts, news, and
the latest trends that are required to keep you up to date. The
frequency of this blog is four posts per quarter while they also
maintain an official Facebook fan page to maintain communication
with the readers.

Data Science Unicorn^[19] has a separate section
for R programming language^[20] and Python, while
machine learning and statistical techniques are also given
priority. Besides, interesting and real-life topics like predicting
stock market prices, risk analysis, NLP, chatbots, text
classification, web scraping, and visualization. You can also
enroll in the recommended data science course mentioned on their
website.

15. Data Science, Database, Tools
and QA Learning’s

---

It can be referred to as one of the most trustworthy data
science blogs available out there. Primarily, it started its
journey for delivering knowledge on SQL databases^[21], but later they have
advanced to any branch data science has to offer. Have a look into
this blog to explore some SQL tips, QA free tools, developer notes,
performance testing, and so on.

The author requests to discuss if you have any questions
related to Data Science, Databases, Deep Learning, Machine Learning
Training, and Strategic Decisions. Data Science, Database, Tools, and QA
Learning’s^[22] has established itself
as a learning platform and become reliable for any data science
related resources. Besides, readers can gain industry-level
knowledge as you will find how to develop, deploy, and monitor
large scale solutions in the supply chain or production.

16. No Free Hunch
(Kaggle)

---

It is powered by google’s community for machine learning
learners and data science enthusiasts known as Kaggle. You will get
news of all the upcoming events and Kaggle Interviews & Highlights
as well. Being the official community from Google, this blog site
contains the largest number of tutorials and industry news to keep
its readers and followers up to date and keep pace with the
ever-growing big data technologies.

You can explore the projects added by the contributors and
members of this community to generate innovative ideas and make
strategic decisions as well. If you are a developer, you can also
add your project to get comments from the experts and other
developers. No Free Hunch^[23] will help a lot to
improve the performance of the prototype even further. If you are a
data lover and want to build a network, then this is the blog you
must follow.

17. KD Nuggets

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First of all, it should be mentioned that this blog is not
for beginners. Even if you have covered the fundamentals and really
dive into the advanced topics still, this blog is not suitable for
you. Instead, It is dedicated to data science professionals who are
looking to expand their knowledge in AI, Analytics, Big Data,
Data Mining^[24], Data Science, and
Machine Learning.

To be at the top, you should always remain focused on
enlightening yourself with the latest trends, and this blog will
definitely help you with this. You will get all the news, insights,
and industry leader’s opinions in this one-stop-shop. KD Nuggets also provides data sets for
different industries and portrays learning opportunities as well.
You will also find webinars by professionals from companies
like  IBM, Intel, and Deloitte on their website. ^[25]

18. Revolution
Analytics

---

Revolution blog started its journey back in 2008, and now
it is maintained by the tech giant Microsoft. R programming
language is one of the most important tools used for data
analytics, and this blog covers all the news and information
related to this powerful tool. It can be referred to as the most
updated data science blog as it posts new content on every working
day.

Only the industry-leading authors can write for this blog
site, and you can always expect the best. You will get courses,
beginner tips, developer tips, advanced tips, open-source packages,
and so on. Besides, Revolution Analytics^[26] can redirect you to the
popular R sites, while there is a list of recommended sites that
you may visit at least for once to enhance your knowledge in
R.

19. DataKind

---

Jake Porway is the founder of this big data blog who
shares his vision through this site. We already know the power of
data analytics, and this blog helps us to create new opportunities
using the same data-centric approaches that have been used by many
industries all these years. DataKind^[27] allows people to submit
projects for evaluation and improve performance by applying the
advised techniques.

This company is focused on harnessing data science to serve
humanity. They are intended to generate sustainable and efficient
solutions for existing problems through data science algorithms and
strategic approaches. They are showcasing more than a hundred data
science projects to inspire people to indulge themselves in the
field and design disruptive innovations. The frequency they
maintain is  1-2 posts per week.

20. Probably Overthinking
It

---

The author of this data science podcast is Allen Downey,
who is serving Olin College as a professor. He is available on
twitter and open to any question. He maintains communication with
his readers and tries to solve any problem by discussing it with
them. He has captured many readers’ attention by presenting
interesting ideas and career tips.

Probably Overthinking It^[28] is really attractive,
and the contents are arranged to keep things as simple as possible.
Alongside data science, Bayesian statistics problems are also
discussed in this blog. If you are looking for sample problems to
practice and validate your skills, you can go through the articles
available on this site. You can enjoy his writing as the author
tries to deliver at least two to four posts per month.

21. Data Science
Report

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Data science report is mainly a blog
used for data science and machine learning with easy learning
materials. It is run by Starbride Partners. It collects data like
videos, TED Talks, books, tutorials, writings, and discussions from
every corner of the world. It helps the data scientist by working
as a resource hub. It offers to learn under professional Data
Scientists, Machine Learning Engineers, Advanced Analytics Pros,
Backend Software engineers, and Data product Managers.
^[29]
It is a very necessary forum for learning all variety of data
science projects into the brain with easy-to-understand tutorials.
One can even look for a particular subject and select the desired
topic to go through it. It can enlighten a user with technology
updates, social media, business management, and beginner guideline
regarding big data. One can even ask for critical analytical help
regarding any personal project or research based on data
science.

22. Data Science
Central

---

Data science central^[30] is an online-based
resource hub for everything related to data science and big data.
This site includes a wide variety of data science topics. Various
experts in data science write and publish articles for it, which
covers analytics, data visualization^[31], technology tools,
code, etc. It also gives the facility to ask any kind of questions
related to data science and enhance knowledge of its users as well
as discussion, insights about any key topic.

This site has frequent updates to make it up to the mark
where write posts nearly two blogs a day. Data Science Central has
a huge number of social media channels under the ownership that
makes it very popular. It also provides us with the facility of
community discussion as well.

23. Reddit

---

Reddit^[32] is one of the biggest
social news websites and forums and considered as the front page of
the internet in present times. Steve Huffman and Alexis Ohanian
started it in 2005, and the site is owned by I Condé Nast
Publications in 2006. Reddit a massive collection of forums where
people come together and share views and contents. It is a
composition of a large number of subcommunities, which are known as
subreddits, which include various topics like music, videos, news,
technology, etc.

Members of Reddit are called Redditors. They submit a
number of contents from which few are selected by vote and takes
the upfront place in the homepage. A user can subscribe to the
Reddit account and can select the topic of her choice to see and
start discussions related to the desired topics.

24.Blue Orange
Digital

---

Blue Orange Digital^[33] is an online-based data
science blog that is a platform for business analytics, big data,
data mining, and data science visualization. It is a NewYork based
visualization firm. It offers analytic techniques derived from
statistical modeling. It keeps the user acknowledged with the
latest trends. The team includes data engineers, PhDs, data
scientists, and visualization experts. 

It includes technical articles and tutorials on a variety
of technical topics along which even includes data science
software, learning concepts, algorithm, and project
implementations. It is a community-style approach to information
exchange with maximum open tools and information to provide more
accessibility among the users.

25. Datafloq

---

Datafloq^[34] is the One-Stop Source
for Big Data that connects all the stakeholders with the global Big
Data market and creates the Big Data ecosystem. The founder and CEO
of Datafloq are Mark Van Rijmenam, who is a blockchain strategist
and author and also a public speaker. The main purpose is to
provide its users with information, opportunities, and insights for
innovation with big data, blockchain, artificial intelligence, and
other emerging technologies.

Different Big Data organizations^[35] accumulate on this
common platform and find Big Data technology vendors. It offers
important knowledge and information around Big Data, which helps to
gather news about new trends, events, training, best practices, and
organizational advice. Users can read high-quality articles, post
jobs, connect with talent, and take training from online tutorial
services with registration.

26. Dataconomy

---

Dataconomy^[36] is a media portal
resource for prospective data scientists that features data science
news and tech trends. It is one of Europe’s top leading media
portals focused on data science, which is editorial from industry
experts. Carla Gentry is the founder of Dataconomy, who is also a
data scientist. It is considered as the bridge between the gap of
Data Science and Business.

Dataconomy works as a portal for news, events, and expert
opinion from the world of technology. It provides a global network
of renowned contributors and works as a hub for data scientists. It
offers a free IT research library and guidelines for the beginner
to start. The difference between other data science hubs and data
economy is that it provides the user with facilities to build a
career in data science.

27. insideBIGDATA

---

InsideBIGDATA^[37] is a data science blog
that offers machine learning of Big Data. The president of
InsideBIGDATA is Rich Brueckner, who is a writer, publisher, and
focused on high-performance computing. It deals with news,
strategies, products, and services of Big data worldwide along with
IT and business professionals along with deep learning, machine
learning, and artificial intelligence. 

Other than regular features, it offers insight analytical
information of industry perspectives along with news and editor’s
choice articles highlight. To make it more user friendly, all the
articles are being categorized by topic and subject.  It also
provides resources for jobs, events, research reports by
maintaining a host. With the help of this resource, one can have up
to date knowledge about machine learning.

28. Analytics Vidhya

---

Analytics Vidhya^[38] is a community resource
and knowledge portal for learning the analytical data from web big
data. The founder of Analytics Vidhya is Kunal Jain, an IIT Bombay
graduate with 10+ years of Global Business Analytics experience.
The main goal is to create a data science ecosystem for the next
generation. It offers predictive modeling techniques and
applications for analytics in business. 

Analytics Vidhya publishes articles related to data
science, machine learning, R programming, python, etc. It is
important to go through this platform if someone is about to start
a career in data science and machine learning. It allows people to
improve their skills and learn through various training programs
and releasing articles. One can post any quarry related to
data science and machine
learning^[39] and can start a
discussion via Q&A forum and learning paths. It provides the
opportunity to participate in Hackathons as well.

29. Data Science 101

---

Data Science 101^[40] is basically a learning
hub for people who are about to start learning data science. It is
a great beginner trainer with advanced analytical discussions. The
founder of Data Science 101 is Ryan Swanstrom, who is a data
scientist in Microsoft. This blog is designed with practical tips
and advice, along with lots of material on becoming a proper data
scientist.

Initially, the blog consisted of valuable experience,
tips, advice, and learning processes, but now the blog is extended.
It has an extensive area of archives that are worth diving into for
knowing more detailed information about the history and condition
of data science in the last few years. It surely is a must-read to
have a clear and stable starting in the career of a data
scientist.

30. Big Data
University

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Big Data University^[41] is a big data blog that
has a massive collection of tips on all the things related to data
science. It is an IBM community with more than 500,000 registered
learners working with data science, big data, analytics to nurture
community skills, open-source data professionals, etc. The target
learner is mainly for a busy person who wants to learn basic of the
material with easy instructions.  

It is a resource for online certification courses related
to big data. Students can learn the Hadoop ecosystem like Hadoop
2.7, Yarn, MapReduce, Pig, Hive, impala, etc. students can do
practical experiments on CloudLab as well in real life project
domain, which includes banking, telecommunication, social media,
e-commerce, etc. It has everything a modern scientist should
know.

31. Data Science Review | Learning
Data Science Right

---

Data Science Review^[42] is a different kind of
data science blog that offers a direct look into the minds of data
scientists with tutorials and news. This blog is created and run by
Jim Cochrane, who offers all kinds of resources regarding data
science in this blog. It offers data scientists to produce the best
models for modern datasets and helps to solve complicated machine
learning and statistics. 

Articles like improving Microsoft Kinect gesture
recognition, new technologies regarding health science, improving
Higgs boson at CERN are published in this blog. It offers
interviews with the winners so that they can discuss the project
more among new and amateurs. It also offers news, tutorials
regarding data science projects.

32. DataCamp blog

---

DataCamp blog^[43] is a data science blog
that offers high-quality tutorials, blog posts, and case studies
related to big data and machine learning technology. It deals with
the latest technology updates and the popular data science
industry. Jonathan Cornelissen is the co-founder and initial CEO of
the DataCamp blog. It has everything a data science enthusiast
needs to know to expand my future career as a data
scientist. 

It provides the user of the data science community with
advanced expertise to share insights on the various topics
regarding big data. Articles that are published on DataCamp are
featured in the DataCamp Newsletter. Users can publish and search
for articles related to the resource and can develop a critical
mindset regarding data analysis under the professionals.

33. Codementor

---

Codementor^[44] is one of the leading
mentorship programs in the marketplace that allows 1:1 live
tutorials for developers. It is a paid online programming learning
service where a long-term mentorship is given within the Codementor
community. Codementor was founded by Weiting Liu. It connects the
learners from any corner of the world in one resource hub via
screen sharing, video, and chats to develop long-term dedicated
learning from expert mentors. 

The main target audience of this program is mainly the
beginners; however, any professional can also seek help for any
critical analytical opinion, including university assignment or
project research. The main focus is to develop skills along with
solving practical problems. It can give freelancing facilities as
job requests. It has a wide range of networks linked with engineers
from top tech companies, which gives a prominent idea from
marketplace investors.

34. Analytics
Insight

---

Analytics insight^[45] is a media, branding,
and technology platform that focuses on artificial intelligence,
big data, and analytics, along with trends, insights, and opinions.
The name of the founder and CEO of Analytics Insight is Ashish
Sukhadeve. It is a trusted premier source of information and
analysis, which helps to build a comprehensive strategy and improve
analytical ability. 

It features views, journeys, and experiences from top
leaders and data industry executives to enhance knowledge of the
learner. It deals with the market analysis of the technologies,
which helps to predict trending market values and future expansions
and to reach target customers. It analyses algorithms, historical
data, and market research of the data science technology worldwide
that results in developing comprehensive strategies and maximizing
strategic development.

35. Yhat

---

Yhat^[46] is a data science blog
that offers data scientists to establish R and Python models based
on APIs. It consists of interesting tutorials and reading
materials, along with featured papers on data science and machine
learning. Austin Ogilvie and Greg Lamp are the founders of Yhat
based in New York with the composition of entrepreneurs, engineers,
and data scientists.

Yhat helps data scientists to build and integrate with up
to date technology insights. It eradicates IT obstacles in
cloud-based data science like server setup and config and can
transform static insights APIs as well as creates Rodeo, an open
source for python. Scientists can use programming tools to build
and improve analytical projects. It is an end-to-end data science
platform to build and maintain the program interface of various
applications.

36. SmartData
Collective

---

SmartData Collective^[47] is a trusted and large
community hub for the data science community that covers technical
contents such as Big Data, Artificial Intelligence, Cloud,
Analytics, IoT, etc. It is a hub for new contributors to come and
share knowledge and views and also offers data tools to deploy
opportunities. It is a social media forum that covers business
intelligence, risk management, and related topics. 

The main target audience for this forum is the business
leaders and IT Experts. Along with blog coverage, it also offers
webinars, e-books, moderate tweet chats. It is an informative
resource for people who tries to find constructive analytical
discussion on growth acceleration worldwide. The innovative model
consists of advanced and professional contributors with critical
insights about the current data science and machine
learning.

37. Dataquest

---

Dataquest^[48] is a user-friendly big
data blog where learner spends most of the time learning through in
browser and interactive screen. It offers a new concept of
on-screen code writing challenge and can get feedback right after
submitting the assignment. The founder of Dataquest is Vik
Paruchuri, who is a self-taught data scientist and winner of Kaggle
Competitions in automated essay scoring, bond & stock
trading. 

Around 500k+ students learn about data science by
Dataquest through real data analysis and can establish a portfolio
of technical projects. It is fun to learn the process through which
a learner can learn hand to hand online.  It deals with the
basic tips and tricks that can help a learner to cover every
feature quickly and in an efficient way. It is a resource for
anybody who gets stuck in any project, needs any guidelines,
advice, or assessment.

38. 365 Data Science

---

365 data science^[49] is an e-learning
website that deals with easy-going tutorials and learning processes
regarding data science, even if someone is at a very beginner
level. The user-friendly site has a rich number of contents based
on BI analysis, data analysis, and data science. It contains
high-quality content online that can be accessed from any corner of
the world just by the internet. Iliya Valchanov, Iliya Valchanov,
Nedko Krastev, Nedko Krastev are the founders of 365 Data
Science. 

It helps to build up the ability to absorb, modify, and
build data science projects by learning mathematics, statistics,
SQL, Python, data cleaning, and machine learning within as much
timeframe as one wants. With a well-structured curriculum plan and
proper practical experiments, personal attention to each detail,
proper certification, and easier accessibility, it can be a
potential educational career website.

39. O’Reilly

---

O’Reilly^[50] is one of the leading
r-learning resource hubs for data science that contains amazing
articles and journals on data science and Artificial Intelligence.
All of the contents are written and made by professional experts in
data science and machine learning. The founder of O’Reilly is Ben
Lorica, who is also an advisor to a few organizations and the host
of thedataexchange.media podcast. It is a proper tool to build
analytic insight regarding any data science-based project^[51]. 

O’Reilly offers online learning live training, interactive
learning. Tutorials, journals, and more along with a certification
reward once a course is finished. It is a place to know elaborately
about technology, and it’s a current market place in the industry.
It helps to develop analytical knowledge by improving data language
skills, effective communication skills, and the tips & tricks to
become a passionate professional data scientist.

40. HortonWorks

---

Hortonworks^[52] is a computer software
firm that specializes in the development and support of open source
Apache Hadoop. It is a public company started by Yahoo and
Benchmark Capital situated in the United States. Hortonworks Data
Platform is the principle showcase product powered by Apache
Hadoop. The main concept of this firm is to create, distribute, and
improve open data services and modern applications on data
science.

HotronWorks offers training services under experts and
helps to increase value for any technical organization to expand
the business. Along with data architecture, it helps to integrate
Hadoop^[53]. To offer more
OpenStack facilities in a public and private cloud, it came to join
forces with Rackspace. It deals with data-in-motion and
data-at-rest and is focused on open source communities such as Nifi
and Spark. It is not only a great source of news and updates but
also a great resource hub of tutorial videos, case studies, and
guidelines. 

41. Machine Learning
Mastery

---

Machine Learning Mastery^[54] is a popular big data
blog where one gets to know anything about machine learning. It is
a highly recommended blog to the people who wants to learn machine
learning using R or Python. Jason Brownlee, a Ph.D. major in
Artificial Intelligence, is the founder of Machine Learning
Mastery. The main purpose of his blog is to help the developers to
start and develop skills at applied machine learning^[55].

It is an online community and collection of supports and
training using a highly top-down and result-focused process toward
the heavy academic approach. One can learn an in-depth
understanding of machine learning concepts, machine learning codes
from scratch, to build machine learning models, analyze database,
interpretation of black box behind the model, and application of
data science in different database models. 

42. Dataschool

---

Dataschool^[56] is an e-learning blog
that mainly features articles and news and tutorials that is useful
for those who want to develop a career in Python Data Science. It
is an amazing way to start a career in Data Science. The founder of
Dataschool is Kavin Markham, who is a data scientist and teacher
who specialized in Python. It provides its users with all the
educational resources and experience on Big Data. 

It offers teaching from data science expert mentors and
specialists to give students a better understanding of how to
prepare, manage, store, and visualize data. Students from any time
and any location can take the facility with an online communication
facility and can enhance analytical insights on big data projects
along with other supportive resources. 

43. FlowingData

---

FlowingData^[57] is a data science blog
for modern data visualization using R, Illustrator, and Javascript.
The main concept of this blog is to make the data easier to
understand to those who are not experts in data science. Nathan Yau
is the author of FlowingData, who tried to make the blog a
combination of highlighting works, visualization guide, and free
resource for everyone. 

FlowingData deals with the structure of how designers,
statisticians, and computer scientists use data in this modern
world. It offers to teach Chernoff to face statistical analysis
methods that can make people learn about data science basics even
without any specialized knowledge about big data. It believes in
storytelling and visualization of data providing practical design
tips accompanied by a bit of tutorial and
resources. 

44. Data Science
Weekly

---

Data science weekly^[58] is a big data blog that
deals with all the features of news, letters, articles, job
openings regarding big data. It is a free newsletter that is
published every Thursday and is sent to the reader’s inbox right
after publishing a new journal. It is a must-read news source for
people who wants to get a regular update on the data science
industry. Hannah Borrks and Sebastian Gutierrez are the curators of
data science weekly.

The main concept of this blog is to share recent news and
job-related updates in the data science industry and about the
latest update in business management in this particular field. It
also covers interviews from various data scientists and
professionals. It narrates it into the journal so that readers can
have views and perspectives from topmost professionals and
analytics within the big data field. 

45. Sebastian Raschka’s
blog

---

Sebastian Raschka’s blog^[59] is a blog for Python
Machine Learning. Sebastian Raschka is one of the best-selling
authors of books on Python. His book named “Python Machine
Learning” is the most popular book on Python
language^[60]. One needs to have a
good skill in Python and Machine Learning to understand his blog
posts. It focuses on deep machine learning and research and is an
advanced blog for the data science sector.

In this blog, one can find Sebastian Raschka’s personal
research and courses along with some open source software that
helps to learn Python more in an advanced level. It has a reference
for all the aspiring machine learning practitioners. It deals with
the model evaluation, selection, algorithm selection in machine
learning, and compares the performance of machine learning models
with constructive analysis. 

46. Domino Data Lab

---

Domino Data Lab^[61] is a big data blog that
talks about different firms using machine learning and data science
in the industry. It is a platform that allows the data scientist to
develop more skills in data science in the medicine industry, crop
production industry, car industry, etc. The specialty of this blog
is analytics, machine learning, data analysis, predictive
analytics, data mining technology, etc. 

It is a resource hub that helps the data scientists to
develop and establish ideas faster with the cooperative,
reproducible analysis to solve a complex problem. This machine
learning platform is a savior of large team enterprises of
code-first data scientists to work things out in a structured
manner. The open technology platform provides with open tools,
model monitoring, and infrastructure a user need. 

47. Mapr

---

Mapr^[62] is an educative blog
consist of tips and articles for people who want to learn about Map
Reduce, Data Science, and Big Data technology. It is a platform for
the next generation of Artificial Intelligent and Analytics with
other business assents that are important for data science. John
Schroeder is the founder and CEO of Mapr, who is an investor of a
technology-based private company. 

This platform enables a community to input analytics into
the business process for future development, reduce costs, diminish
risks, and resolve complexity in the data science sector. It is one
of the most trusted platforms to help to solve the critical AI
complexity and analytical challenges. Mapr has built an ecosystem
with Amazon, Cisco, Google, Microsoft, SAP, and many more to give
them a better solution in the industrial field
worldwide. 

48. IBM Big Data Hub

---

IBM Big Data Hub^[63] is a data science blog
with an enormous number of tips and advice on big data. All the
guidelines published here are helpful and convenient for data
analytic professionals. It offers a huge number of contents that
improves the skill for both beginner and advanced professionals. It
is a hub specially designed for enterprise analytic leaders,
experts, and practitioners to analyze and discuss any topic
regarding big data. 

This blog talks about news, leadership, and investigative
podcast as well as industry research and infographics. It covers
all the new events like webcasts, conferences, local meetups, and
other informative videos, which can enhance one’s knowledge about
the current as well as historical state of big data analytics. It
also provides news and journals on multi-cloud and Artificial Intelligence platform^[64].

49. Dataversity

---

Dataversity^[65] is a big data blog that
provides learning contents in big data, data science, BI, data
management, etc. This e-zine has all the resources for information
technology, professionals for data management, practitioners, and
customers. The main goal of Dataversity is to supply the best
source of information and in-depth knowledge about the things
connected to data science that is happening worldwide.

It covers interviews, conferences, discussions, articles,
blogs, certifications, a news feed, and many more to come up with
the up-to-date conditions of the market to all of its readers. It
also brings content related to data management and digital
resources one can search for to educate themselves with data
science. It manages data architecture summit, data governance and
information, DG vision, and data world conference face to
face. 

50. Big Data Week

---

Big Data Week^[66] is one of the most
useful data science blogs for tips and advice that makes it easier
for the learner to gather more radical information on data science.
The main target audience of this blog is an effective data
visualizer, data scientists, etc. It improves knowledge by keeping
pace with digital science news and updates.  

It goes to an in-depth discussion of big data technology
and practical business scenario along with technology-based events
like workshops, webinars, conferences, technical talks,
exhibitions, presentations, etc. It brings all the updates about
big data technology, trends, and expert advice, insights along with
best practices. It is a worldwide abstraction of the influence of
data science in the social, political, and technical
communities.

Finally, Insight

---

In the present world where we completely depend on
technology for our day to day life, it is beyond imagination how
important data science^[67] is in the current
business market. Data science is simply solving problems with data.
An immense number of blog and resource forum is there to provide
all kind of learning facilities and contents for people who wants
to learn data science.

Each of the blogs is under advanced-level professionals
and ready to help beginners as well as advanced learners according
to their understanding of difficulty. These learning hubs not only
teach but also keep everyone informed about the current
circumstances of data science in business management
worldwide.