Do you want to learn Data Sciences?
Do you want to get updated on what’s happening in the world of Data Sciences?
Do you want to look for career options in Data Sciences?
Starting your career in Data sciences?
Want to learn more about Data Science, Machine Learning, Deep Learning & Artificial Intelligence?
Then this is the post, you should- Read, Save & Bookmark.
Here is a compilation of expert’s resources- from courses to blogs, webinars, tutorials, Jobs, Internships and many more that you must follow to learn and stay updated in Data Sciences (DS), Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL):
1. KDnuggets –
www.kdnuggets.com (Support the Analytics and Data Mining Community)- Website with latest updates on Machine learning, DS, Big Data, Analytics & AI. Good to get a general idea of what’s happening in the field with a few tutorials. It comprises of::
SOFTWARE | News/Blog | Top stories | Opinions | Tutorials | JOBS | Companies | Courses | Datasets | EDUCATION | Certificates | Meetings | Webinars.
They also have a professional and good group on LinkedIn: KDnuggets Machine Learning, Data Science, Data Mining, Big Data, AI (click on the name to join)
Trending AI Articles:
1. Investigating Focal and Dice Loss for the Kaggle 2018 Data Science Bowl
2. My solution to achieve top 1% in a novel Data Science NLP Competition
3. Application of Deep Learning in Front-end Web Development (HTML + CSS)
4. Paper repro: “Self-Normalizing Neural Networks”
2. Kaggle –
https://www.kaggle.com/ — The Home of Data Science & Machine Learning. Kaggle helps you learn, work, and play. The world’s largest community of data scientists.
They have: Competitions | Datasets | Kernels | Discussion | Learning resources
What is Kaggle?
Kaggle is a platform for data-related competitions. The platform allows companies, researchers, government and other organizations to post their modelling problems and have data professionals and researchers compete to produce the best solutions. Kaggle offers data professionals and researchers the opportunity to test their skills, try their techniques on interesting datasets and enhance their professional reputations.
3. Analytics Vidhya –
www.analyticsvidhya.com — Educational resources on Analytics.
Blog | Jobs | Trainings | Learning Paths | Discuss | Corporate Resources
You can find on Analytics Vidya:
- Training and tutorials to get you going and make you better in analytics and data science
- Tips and tricks related to Data Science, Machine Learning, Business Analytics and Business Intelligence tools
- Hackathons for solving Real-life industry problems being released in form of contests
- Case studies of problems and their analytical solutions
- Interviews of Business Analytics & Business Intelligence leaders
4. Data Science Central-
www.datasciencecentral.com — The community of & for Data Scientists. It provides a robust editorial platform, social interaction, forum-based technical support, the latest in technology, tools and trends and industry job opportunities.
DataViz | Hadoop | Big Data | Analytics | Webinars | Deep Learning | AI | JOBS | Membership Opportunities | Data Science Search Engine | Classifieds
Subscribe to DSC Newsletter- HERE
5. Towards Data Science –
www.towardsdatascience.com — Sharing concepts, ideas, and codes
A medium publication with articles from Data Science students, professionals and experts globally.
DATA SCIENCE | MACHINE LEARNING | PROGRAMMING | VISUALIZATION | PICKS | CONTRIBUTION OPPORTUNITIES
Follow their Newsletter: HERE
6. Deep Cognition- We simplify AI.
deepcognition.ai — Deep Cognition is an AI software company that simplifies the process of developing and deploying Artificial Intelligence.
AI Engineers, Data Scientists and researchers across the globe use this AI software platform, Deep Learning Studio, free of charge. The platform can be used in the cloud or on your infrastructure.
7. Randy Lao ☁️ –
http://www.claoudml.co/ — An awesome repository of best courses on Data Sciences, Machine Learning, Deep Learning from Coursera & other website
Randy Lao is an expert in Data Sciences, Machine Learning and Deep Learning and he has contributed his share of resources in a highly organized manner. After realizing that most data science resources are hard to find to those new to the field, he had made this site an easily accessible way for you to get your materials. These resources should come in handy to any data scientists at all levels of experience. (Note: This site will be updated periodically.) Check out his Kaggle Kernel: https://www.kaggle.com/randylaosat/predicting-employee-kernelover
The website offers:
START LEARNING ☁️ | DATA SCIENCE ☁️ | MACHINE LEARNING ☁️ |
FREE BOOKS ☁️ | MATH/STATISTICS ☁️ | PODCASTS ☁️
“Data will talk to you when you are ready to listen”
8. Eric Dejin –
https://lebigdata.com/ — Big Data Jobs at LeBigData.com: FREE job board for recruiters & data scientists. Jobs, definitions & challenges in Data Sciences.
The website offers:
BIG DATA INFO | FIND JOBS | RECRUITER | CANDIDATE | COURSES | NEWS
9. Kyle McKiou –
www.datasciencedreamjob.com/free-tips — Expert Tips… Straight to Your Inbox
READY TO LAND YOUR FIRST JOB AS A DATA SCIENTIST?
Learn the Step-by-Step System to Become a Data Scientist, Even If You Have No Experience. Data Science Dream Job is an interactive, online course, jam-packed with hours of videos, interviews, real-world case studies, walkthroughs, and step-by-step action plans.
JOIN THE COURSE — https://www.datasciencedreamjob.com/course-info
(It costs for Data Science Dream Job + Opening Weekend Bonus Package- $1500- $1800 but the results are beyond phenomenal)
P.S. Remember, it’s totally risk-free. If you complete the course and are not happy with your results for any reason within the first 60 days, He will give you a FULL refund AND send you a personal check for $100 to make up for wasting your time. He offer this money-back guarantee because he has 100% confidence that this course is worth the investment and will help you land the job of your dreams. P.P.S. Yes, it will work for you too. Even if you have no experience. Even if you’re not getting interviews now. Even if you don’t have the right degree. Even if you’re terrified of interviews. It’s time to take action and take control of your career — sign up now and let’s do this together!
10. Favio Vazquez –
https://medium.com/datos-y-ciencia (use translate option for English version)
Made by Favio, the website offers learning and resources on: DATA SCIENCE | MACHINE LEARNING | DEEP LEARNING | CONTRIBUTION OPPORTUNITIES
11. DataScribble.com by Pranav
[ If you are a data science enthusiast and plan to emerge as a great scribbler in this field, you are at the right place ]
12. pyimagesearch- [ by Adrian Rosebrock]
https://www.pyimagesearch.com/ — If you’re interested in learning how image search engines work, or trying to build one of your own, you’ve come to the right place.
As its name suggests, it’s focused on images. Its strengths? Many of these tutorials can be applied to real world problems and they are very detailed.
13. Brandon Rohrer –
https://brohrer.github.io/blog.html — This course will walk you through a data science (applied machine learning) project from end to end.
Brandon is a Data Scientist at Facebook
14. MACHINE LEARNING MASTERY by Jason Brownlee
machinelearningmastery.com — Master machine learning by using it on real-life applications, even if you’re starting from scratch. Get the EXACT framework Jasonused to cut his time working through predictive modeling problems in HALF, and STILL get better results.
Do You Need Help Getting Started with Applied Machine Learning?
This is The Step-by-Step Guide that You’ve Been Looking For!
- Need help with machine learning? Take the FREE Crash-Course.
- Want to know more about the author or founder , visit here.
Start Here | Blog | Books
15. fast.ai- ( Their MOOC- course.fast.ai )
Making neural nets uncool again
fast.ai is dedicated to making the power of deep learning accessible to all. Deep learning is dramatically improving medicine, education, agriculture, transport and many other fields, with the greatest potential impact in the developing world. For its full potential to be met, the technology needs to be much easier to use, more reliable, and more intuitive than it is today. They are:
- Writing fast and easy to use software for both developers and end users
- Developing a complete educational framework
- Building a library of ready-to-use applications and models
- Working on hybrid “man and machine” solutions that harness the strengths of both humans and computers
Their posts by Topics can be accessed here: http://www.fast.ai/topics/
16. Cognitive Class-
https://cognitiveclass.ai/ — Data Science and Cognitive Computing Courses
Build Data Science and Cognitive Computing skills for free today.
Free Data Science and Cognitive Computing supported by IBM offers free online courses on all the latest technologies. One can earn a badge through acclaim by completing the online exam which can also be linked to your linkedin profile.
Start using the platform by signing up here: Sign Up
It offers: Learning Paths | Courses | Mobile Apps | Badges | Business | Competitions| Free Cloud Credits
OFFER: For a limited time, IBM is giving the learners a special IBM Cloud offer — a $1,200 value, with no strings attached. Practice what you learn on Cognitive Classand build with IBM Cloud for free!
[ Link to offer: https://cognitiveclass.ai/ibm-cloud-promotion/ ]
https://www.datacamp.com — THE SMARTEST WAY TO- Learn Data Science Online.
DataCamp offers interactive R and Python courses on topics in data science, statistics, and machine learning. Where you can learn from a team of expert teachers in the comfort of your browser with video lessons,fun coding challenges, quizzes and on completion you get a certificate too. This site also has some guided projects to work on solving real-world problems.
The best part of this site is the career track and skill track which teaches bundled courses relevant to certain career (data analyst, data scientist) or a certain skill (data cleaning, data visualization)
https://datascienceplus.com/ — DataScience+ is an online community for showcasing R & Python tutorials. It operates as a networking platform for data scientists to promote their talent and get hired.
They empower data scientists by bridging the gap between talent and opportunity.
Introduction | Getting Data | Data Management | Visualizing Data | Basic Statistics | Regression Models | Advanced Modeling | Programming | Tips & Tricks | Video Tutorials
19. Data Science Weekly Newsletter-
www.datascienceweekly.org — A free weekly newsletter featuring curated news, articles and jobs related to Data Science.
“How do I get a data science job?”
Get A Data Science Job Course →> HERE
Buy the guide with confidence and without fear. This guide was written to help you. If you’re not happy, email firstname.lastname@example.org and you’ll receive a refund.
20. Story by Data by Kate Strachnyi-
Tutorials for Data Science, Tableau, Statistics, R, Phython, SQL, Data Analysis, Data Wrangling, Visualizations, calculations, and data connection tips. How to videos for using Tableau software. See: Humans of Data Science ( HoDS)
21. statisticsbyjim.com ( Making statistics intuitive- by Jim Frost )
To learn statistics at a deeply intuitive level. A good & organized compilation of the topics by statistical area, which you can find in the menu bar at the top. The author is rapidly adding new statistical content. Currently, the categories are:
Basic statistical concepts | Hypothesis Testing | Regression | ANOVA | Fun | Glossary| Blog (contains all of the author’s posts.)
PEOPLE TO FOLLOW
Experts in Data Science, Machine Learning, Artificial Intelligence & Deep Learning you must follow on LinkedIn,
for highly valuable resources, training materials, relevant industry updates, cool problems & solutions, Jobs & Internships information, Guide to get a job or internship, Webinars and much more.
Favio Vázquez | Kyle McKiou | Randy Lao | Kate Strachnyi | Vivek Kulkarni | Sateesh Kumar | Mahesh Kashyap | Eric Feuilleaubois (Ph.D) | Tarry Singh | Andriy Burkov | Mandeep Kumar | Rajendra Singh
Additional RECOMMENDED Gold Resources:
- Starting career in Data sciences? Want to learn more in Data Science, ML, DL & AI? — Read This Post
- A curated list of 200+ blogs related to Data Science.
- 530 Free Online Programming & Computer Science Courses You Can Start in May
- Python data science Handbook — https://lnkd.in/fYiMTyj
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data: https://lnkd.in/frFrGtN
- The Ultimate Guide: 200+ Tableau Interview Question and Answers (free download)
- Become a confident Data Scientist from having no Knowledge: 4 steps and 3 Links
- Not “Cliche” Hadoop Article — Powerful Resources Inside 😎😉😍
- A Guide To Switching Careers To Deep Learning
You are awesome and you will be an awesome data scientist. Get started today!
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