What is Data Science and How to get into it?

-By Eeman Majumder

What is Data Science and How to get into it?

-By Eeman Majumder

So, data science is a booming topic and everyone nowadays wants to learn data science and this questions are often asked. What are the best websites for learning data science?

So, here is the answer, keep reading to know more.

1. CIO.com

CIO.com is devoted to providing IT news, analysis, blogs, and videos to enterprise CIOs and business leaders. Through certifications, recruiting methods, and skill development, the website provides users with insights on career growth for themselves and their workers. A “solid foundation in digital transformation of their enterprises” is one of the publication’s key priorities.

CIO.com is a website dedicated to information technology.

@CIOonline on Twitter

2. DataCenterDynamics

DataCenterDynamics publishes data centre industry news, analysis, and opinions. Cloud, Manufacturing, Telecoms, Financial Services, and other verticals are covered for markets all around the world. Data centers-as-a-service, creating the edge, and keeping IT cool are among the subjects covered at the company’s in-person and virtual conferences.

datacenterdynamics.com is the company’s website.

@DCDNEWS on Twitter

3. Datamation

datacenterdynamics.com is the company’s website.

@DCDNEWS on Twitter

4. Data Science Central

Data Science Central bills itself as an online resource for data professionals, with sections on statistics, analytics, artificial intelligence, and machine learning. The site features forums, groups, and membership to stimulate social engagement within the data science community in addition to being an editorial platform.

DataScienceCentral.com is a website dedicated to data science.

@DataScienceCtrl on Twitter

5. FiveThirtyEight

FiveThirtyEight is a website that “uses statistical analysis — hard data — to produce interesting stories about politics, sports, science, economics, and culture,” according to Nate Silver, an American statistician and writer. The website’s name comes from the number of electors in the US electoral college, which is sometimes written as 538.

fivethirtyeight.com is the website of fivethirtyeight.com.

@FiveThirtyEight on Twitter

6. InformationWeek

Data analytics, cloud computing, DevOps, and other hot topics in information technology are covered in depth by InformationWeek’s news analysis and opinion. The publication provides an environment for IT business leaders and decision-makers to learn how to answer technology inquiries and solve business challenges from experienced journalists and subject matter experts. “If an IT product or platform isn’t related to delivering on business goals, it’s of little interest to InformationWeek,” the journal says.

Information Week’s website is www.informationweek.com.

@InformationWeek on Twitter

7. KDnuggets

“KD” stands for “Knowledge Discovery,” and it’s a well-known site for learning about quickly expanding technologies like big data, analytics, artificial intelligence, and machine learning. The site also has a collection of ready-to-use datasets in addition to news, blogs, webinars, and tutorials. For more career-oriented readers, the newspaper also has a Courses and Jobs section.

kdnuggets.com is the website for kdnuggets.

@kdnuggets on Twitter

8. ScienceDirect

ScienceDirect is a prominent “resource for scientific, technological, and medical research” in the globe. Journals, books, and articles are available on the internet to assist academic institutions and government agencies in obtaining high-quality research. The site also serves corporate R&D and industry researchers by offering access to the most up-to-date research and breakthroughs in a variety of sectors.

ScienceDirect.com is a website dedicated to science.

@sciencedirect on Twitter

9. TDWI | Transforming Data with Intelligence

TDWI has been helping data executives and teams have access to the “knowledge and skills they need to establish effective analytics and data management programmes” for over 20 years. The organisation provides data practitioners with research, team training, online learning, and events to help them develop their skills and technology.

tdwi.org is the website.

@TDWI on Twitter

10. Towards Data Science

Towards Data Science is one of the most popular Medium publications dedicated to data science, AI and machine learning, and programming, with over 500k followers. The portal provides selected materials in the form of tutorials, analyses, and real-world experiences from the deployment of these technologies to dedicated data practitioners.

towardsdatascience.com is a website dedicated to data science.

@TDataScience on Twitter

11. Harvard University Data Science Certificate

This course covers a variety of topics related to Data Science, including data sampling, data management, data analysis, prediction, and results communication. Students must complete four of the certificate courses to receive graduate credit.

12. Simplilearn Post Graduate Program in Data Science

This PG programme puts learners on the fast road to becoming a professional data scientist, with online training, a rigorous curriculum, and professional certification from Purdue University and IBM to certify learning.

13. Code with Google — Applied Computing Series

The Machine Learning Crash Course allows students to access video lectures, case studies, and practise activities. Learn with Google AI is another programme that allows students to tailor their learning experience by using a combination of videos, tutorials, laboratories, courses, interactive sessions, and examples of sample code and documentation.

14. California Institute of Technology Learning From Data Course

Professor Yaser Abu-Mostafa of Caltech delivers a series of video lectures. The series includes Q&A and covers a wide range of subjects, including algorithms, fundamental theory, and applications. Check out Simplilearn’s Data Science Bootcamp as well.

15. Master of Information and Data Science (MIDS) at UC Berkeley School of Information

This Data Science online course is designed for professionals who want to use complicated data to solve issues, with a focus on asking the correct questions and presenting results in the most effective way possible. Live seminars and online coursework are both available through this web-based curriculum.

16. Codementor

Codementor has tutorials for both beginners and experts. Learners may access a variety of helpful resources on how to effectively analyse data, including introductions, machine learning, and advice on selecting the finest data analytics software packages.

17. Topcoder

This website provides tutorials on various ideas in Data Science as well as a venue for industry specialists to provide guidance. They also offer useful, real-world information on a variety of issues, as well as how-to tips for newcomers to the site.

18. Analytics Vidhya

Learners will discover a thorough tutorial for studying Data Science with R here, as well as an in-depth guide that covers everything from the fundamentals of programming to data exploration and predictive modelling. There are many more data science lessons available, such as one on learning Python for Data Science.

19. KDnuggets

They provide a number of lessons that cover anything from Data Science procedures to how to get started with Data Visualization. Two lessons on probable Data Scientist interview questions are also available on the website, with useful answers and advise from the editors at KDnuggets.

20. R-bloggers

The usage of R methods with SQL servers is covered in this lesson. There are five lectures in all that guide students through the steps of integrating R models into a real SQL server. This site also has a number of additional lessons that provide information on the most recent developments and upgrades in the business.

21. Flowingdata

These tutorials, created by Dr. Nathan Yau, Ph.D., provide professional guidance on how to display, analyse, and comprehend data, as well as practical guidelines with real-world examples. Flowingdata also provides book suggestions, glimpses into the life of a Data Scientist, and instances of how data may be used to benefit people.

22. The Open Source Data Science Masters

This website has a number of materials that will assist you in comprehending the notion of Data Science. They cover a wide range of topics, from data design to computers and arithmetic, and include books, tutorials, and study groups. Clare Corthell, founding partner of Data Science Consultancy, Luminant Data, compiled all of the material.

23. Learn Data Science by nborwankar

Learners will discover a range of materials to assist them in learning Data Science using IPython Notebooks in this section. Random forests and linear regression, data investigations, and analysis of each region are all covered in these volumes. Worksheets are also provided for students to practise on.

24. Data Science Weekly

This website, which has a collection of Data Science resources and news updates, allows visitors to sign up for weekly newsletters that include jobs, articles, and news. The site also includes interviews with notable Data Scientists as well as a list of the most valuable books, data sets, and blogs.

25. FiveThirtyEight

This interactive website provides data analysis on a variety of economic, cultural, health, sports, and political topics. The site was established by Nate Silver. Podcasts are another way for readers to get these intriguing tidbits of knowledge.

26. Simply Statistics

This website shows the opinions of three biostatistics academics — Rafa Irizarry, Roger Peng, and Jeff Leek — with a large collection of essays on the use (and misuse) of data when addressing issues. They write about anything from what inspires them to what advise they would provide to budding Data Scientists.

27. International Conference on Machine Learning

The International Machine Learning Society (IMLS), a non-profit organisation, has hosted this international conference in a number of venues across the world. The conferences, which are aimed at promoting machine learning, cover a wide range of subjects and include guest speakers as well as seminars and tutorials.

28. Reddit

This site gives users a place to exchange Data Mining materials and research papers through an online community with over 30,000 members. It’s also ideal for Data Scientists wishing to network with like-minded individuals who can help them solve problems in a unique way.

29. Kaggle

The most important inclusion on this list is Kaggle. Kaggle is more than simply a free website; it’s also a community that promotes high-quality Data Science, Machine Learning, and Deep Learning projects, among other things.

Kaggle wants to give you with valuable scripts and tools to help you start building your own projects from the ground up, as well as vast databases of datasets and data to work with on a variety of project ideas.

Jupyter Notebooks featuring analytics, exploratory data analysis, and programmes are available from the community. Each year, Kaggle offers a variety of tournaments in which you are welcome to participate and learn more about.

30. Machine Learning Mastery

Jason Brownlee’s Machine Learning Mastery website has some of the greatest tools and material accessible on the internet. It covers a wide range of subjects and delves into some of Data Science’s most amazing and interesting concepts.

This website contains information and resources for every enthusiast and aspirant. Whether you are a novice or an expert, you will acquire a lot of fantastic value from your visit to our site, and the most of the information is free.

The materials cover everything from basic installation through complicated machine learning, neural networks, and deep learning calculations and applications.

31. Papers With Code

As the name implies, Articles With Code consists of scientific papers that have short codes linked to them.

It’s a fantastic platform and a fully free website where anyone interested in Data Science, Machine Learning, Deep Learning, and other topics may learn more.

For beginners, some of the concepts and issues discussed may be a little complex. However, because the study papers are accompanied by codes, Data Science hopefuls will find it easy to assess these projects. I strongly advise you to visit this website.

32. GitHub

The greatest location to find comprehensive codes and coding structures is on GitHub. The major reason for using GitHub is to learn from so many bright people who share comprehensive code for the benefit of the entire community.

You may not only read and learn from other codes on GitHub, but you can also clone them and use them on your desktop. You may put these scripts to the test, validate them, and even change them to better fit your needs and projects.

You may post your projects and programmes for everyone to use and benefit from, in addition to reading other people’s work. GitHub also allows you to share your code with the rest of the world.

33. PyImageSearch

One of the greatest resources for getting started with computer vision projects is PyImageSearch (by Adrian Rosebrock). It also covers OpenCV and deep learning in depth, allowing you to create simple and advanced computer vision projects for free.

This website was the first one I found while I was working on my first computer vision project, and it hasn’t let me down since. In my opinion, the website is still one of the top machine learning tools for building computer vision projects.

If you enjoy computer vision projects and want to learn more about this topic, I strongly advise you to visit the website for further study materials, expertise, and resources.

34. Google AI

Google AI is a Google subsidiary that focuses on artificial intelligence. The website is likewise free and contains data science and machine learning material.

Google AI aims to educate all users on the benefits of artificial intelligence, and as a result, it is a fantastic resource for learning and expanding one’s understanding about AI.

The Google AI Platform is a really useful, helpful, and informative website. It has a wide range of themes in its arsenal, including research topics, AI education for individuals and users, a variety of AI tools, and blogs for learning concepts and developing AI abilities. You can even take courses like data science bootcamp job guarantee for a greater approach to data science.

35. YouTube

YouTube is a great place to learn more about Machine Learning and Data Science by watching videos.

You may see some wonderful movies that will inspire you and teach you practical information and applications in these domains by browsing through numerous channels.

Sentdex, 3Blue1Brown, TechWithTim, Corey Schafer, and a slew of other fantastic channels are among my personal favourites. These are some of the top YouTube channels to subscribe to if you want to learn how to grasp things more intuitively.

36. TensorFlow

TensorFlow is a fantastic deep learning framework for creating amazing Data Science and Machine Learning applications.

Apart from this fantastic framework for addressing complicated computational issues, TensorFlow also provides a free website where you can learn more about it.

The TensorFlow website offers official documentation, guidelines, valuable tools, and programmes to help people get started with TensorFlow and build some amazing projects from the ground up.

TensorFlow’s support and development tools are continuously expanding. Basic Datasets and answers to certain sample issues are also available on the website. I strongly advise you to visit the website if you want to learn how to use TensorFlow for Deep Learning.

37. Reddit, Quora, And Stack Overflow

The three resources stated in this point all serve a similar function, namely, community engagement and involvement, as well as solutions to a variety of concerns.

Reddit is a social media platform where users can communicate with one another, and the subreddits for Machine Learning and Data Science are highly valuable free websites to learn more and get additional answers to some of the questions you might have.

Another such website is Quora, which has specialised places for studying and obtaining more information about Data Science and Machine Learning. You may also ask more general inquiries for which you will receive free responses and assistance. Stack Overflow is the greatest place to go for high-level question answers.

Conclusion:

Here are all the websites you need to learn data science. Follow them. Good luck on your data science journey !!