- 4 Free Math Courses to do and Level up your Data Science Skills - Jun 22, 2020.
Just as there is no Data Science without data, there's no science in data without mathematics. Strengthening your foundational skills in math will level you up as a data scientist that will enable you to perform with greater expertise.
- Python and R Courses for Data Science - Feb 26, 2020.
Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.
- 10 Best and Free Machine Learning Courses, Online - Dec 26, 2019.
Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.
- 5 Famous Deep Learning Courses/Schools of 2019 - Sep 24, 2019.
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
- Earn a Deep Learning Certificate - Apr 22, 2019.
Now is your chance to break into AI, even if you don’t have a PhD. If you want a job in AI and Deep Learning, Andrew Ng’s Specialization will help you get there.
- Earn an IBM Data Science Certificate - Mar 25, 2019.
IBM’s Data Science Professional Certificate program on Coursera brings you everything you need to plunge into an exciting career in data science—no prior experience required! Start learning today.
- Help us understand your Data Science goals! - Nov 13, 2018.
If you are currently enrolled in or completed either short, online courses in data science or intensive, paid online bootcamps in data science, please complete this short survey for chance to win one of twenty $50 Amazon gift cards, and help improve Data Science education.
- Ready your Skills for a Cloud-First World with Google - Jul 20, 2018.
The Machine Learning with TensorFlow on Google Cloud Platform Specialization on Coursera will help you jumpstart your career, includes hands-on labs, and takes you from a strategic overview to practical skills in building real-world, accurate ML models.
- NLP in Online Courses: an Overview - May 28, 2018.
This article examines several Natural Language Processing (NLP) courses across a variety of online sources and programming languages.
- Top SAS Courses Online - May 11, 2018.
High quality SAS training for beginners is out there and I’ll help you find it.
- Data Skills: They’re Not Just for Data Scientists - Mar 22, 2018.
The continued growth of big data, both in terms of quality and accessibility, is disrupting a wide range of roles. The skills needed to analyse this data need to be learned by everyone - not just data scientists.
- A Basic Recipe for Machine Learning - Feb 13, 2018.
One of the gems that I felt needed to be written down from Ng's deep learning courses is his general recipe to approaching a deep learning algorithm/model.
- The Doing Part of Learning Data Science - Feb 6, 2018.
Consider this a beginner’s answer to “Studied Basics, What Next?”
- The Art of Learning Data Science - Jan 9, 2018.
A beginner’s account of getting into comfort zone of learning Data Science.
- 15 Minute Guide to Choose Effective Courses for Machine Learning and Data Science - Dec 28, 2017.
Advice for young professionals in non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.
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- Computer Vision by Andrew Ng - 11 Lessons Learned - Dec 22, 2017.
I recently completed Andrew Ng’s computer vision course on Coursera. In this article, I will discuss 11 key lessons that I learned in the course.
- Deep Learning Specialization by Andrew Ng – 21 Lessons Learned - Nov 24, 2017.
I found all 3 courses extremely useful and learned an incredible amount of practical knowledge from the instructor, Andrew Ng. Ng does an excellent job of filtering out the buzzwords and explaining the concepts in a clear and concise manner.
- An Overview of 3 Popular Courses on Deep Learning - Oct 13, 2017.
After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.
- Top /r/MachineLearning Posts, August: Andrew Ng is back at it; Reinforcement Learning makes a splash; Fixing your ANN - Sep 8, 2017.
Andrew Ng announces new Deep Learning specialization on Coursera; DeepMind and Blizzard open StarCraft II as an AI research environment; OpenAI bot beat best Dota 2 players in 1v1 at The International 2017; My Neural Network isn't working! What should I do?; Deep Learning Neural Networks Play Path of Exile
- New Online Data Science Tracks for 2017 - Apr 17, 2017.
In 2017 there are many new and revamped data science tracks that are much more comprehensive for beginners than ever before. The tracks are designed to give you the skills you need to grab a job in data science, and some even have a job guarantee.
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- Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 1 - Mar 24, 2017.
The focus is increasingly shifting from storing and processing Big Data in an efficient way, to applying traditional and new machine learning techniques to drive higher value from the data at hand.
- Every Intro to Data Science Course on the Internet, Ranked - Mar 2, 2017.
For this guide, I spent 10+ hours trying to identify every online intro to data science course offered as of January 2017, extracting key bits of information from their syllabi and reviews, and compiling their ratings.
- Process Mining: Where Data Science and Process Science Meet - Nov 17, 2016.
A data scientist without Process Mining training is ill-equipped to uncover the organization’s real processes, analyze compliance, diagnose bottlenecks and improve processes, so improve your skills with a new version of the free Coursera course "Process Mining: Data Science in Action" will start on November 28, 2016.
- Up to Speed on Deep Learning: July Update, Part 2 - Sep 7, 2016.
Check out this second installation of deep learning stories that made news in July. See if there are any items of note you missed.
- The top 5 Big Data courses to help you break into the industry - Aug 25, 2016.
Here is an updated and in-depth review of top 5 providers of Big Data and Data Science courses: Simplilearn, Cloudera, Big Data University, Hortonworks, and Coursera
- 4 Online Data Science Training Options for Your Team - Aug 24, 2016.
We highlight and compare 4 great online data science training providers that can help you foster a data-driven organization: DataCamp, Lynda, Pluralsight, and Coursera.
- How to Start Learning Deep Learning - Jul 14, 2016.
Want to get started learning deep learning? Sure you do! Check out this great overview, advice, and list of resources.
- Top Machine Learning MOOCs and Online Lectures: A Comprehensive Survey - Jul 11, 2016.
This post reviews Machine Learning MOOCs and online lectures for both the novice and expert audience.
- Top /r/MachineLearning Posts, June: Microsoft Videos, Machine Learning Training Pathway, Free Books! - Jul 5, 2016.
Microsoft Research Machine Learning Videos; Free Machine Learning Training Pathway; Andrew Ng's New Book; Coursera Removing Free Online Courses; Free Books!
- Top 10 Data Science Resources on Github - Mar 24, 2016.
The top 10 data science projects on Github are chiefly composed of a number of tutorials and educational resources for learning and doing data science. Have a look at the resources others are using and learning from.
- Strategic Business Analytics – n5 Most Coveted Coursera Certificate in 2015 - Jan 27, 2016.
ESSEC Specialization on “Strategic Business Analytics” was ranked #5 most coveted Coursera certificate on LinkedIn in 2015. The course is aimed at students, business analysts and data scientists who want to apply statistical knowledge and techniques to business contexts.
- KDnuggets™ News 15:n38, Nov 18: TensorFlow Disappoints; Spark with Python; Deep Learning; Top 20 Books - Nov 18, 2015.
TensorFlow Disappoints - Google Deep Learning falls shallow; Introduction to Spark with Python; A Statistical View of Deep Learning; Amazon Top 20 Books in Databases & Big Data.
- Top Coursera Data Science Specializations: Comparison & Exclusive Insight - Nov 12, 2015.
There are more MOOC learning options for Data Scientists today than ever. Take a tour of Coursera's 8 Data Science specializations, with exclusive insight from program coordinators and course instructors.
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- Northwestern MOOC Specialization: “Social Marketing – How to Profit in a Digital World;” Lexalytics CMO Seth Redmore Featured Faculty Member - Oct 12, 2015.
Six-part series offered through Coursera will teach entrepreneurs, executives, and marketing professionals how to manage, measure, and monetize social media marketing programs.
- Best Data Science Online Courses - Oct 12, 2015.
The number of online data science courses have exploded in recent years and there courses for any needs. Here is a extensive list of free and paid courses from Coursera, DataCamp, Dataquest, edX, Udacity, Udemy, and other major providers.
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- MOOC: “Process Mining: Data science in Action” repeats in Oct 2015 - Sep 28, 2015.
Due to the large success of the first two runs, this 6 week online course is repeated in October. The course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
- 15 Mathematics MOOCs for Data Science - Sep 23, 2015.
The essential mathematics necessary for Data Science can be acquired with these 15 MOOCs, with a strong emphasis on applied algebra & statistics.
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- A New MOOC on Strategic Business Analytics - Sep 18, 2015.
Coursera and ESSEC Business School launch a MOOC on how to create value from data to solve business issue. It focuses on 4 sets of skills: analytics, IT, business, and communication.
- Coursera/Stanford “Mining Massive Datasets”, free online course - Jul 22, 2015.
Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Next session of this great course starts Sep 12 on Coursera and is free.
- Hotlist of Training resources for Predictive Analytics - Jul 13, 2015.
A hotlist of training resources for Predictive Analytics, Machine Learning, Data Science, R, Python, SAS, and Excel, including MOOCs, blogs, meetups, courses, videos, and more.
- Top KDnuggets tweets, May 12-18: Hadoop demand falls; Andrew Ng Machine Learning class, excellent course notes - May 19, 2015.
#Hadoop demand falls, 54% of enterprises have no plans for it; Download your entire #Google search history; #DataScience for #Dummies: An interview with author Lilian @BigDataGal Pierson; Andrew Ng Machine Learning Coursera class - complete, excellent course notes.
- Coursera: Process Mining: Data science in Action, April 2015 - Mar 14, 2015.
Due to the big success of the first run, this 6 week online course is repeated on Coursera, starting April 1. This free course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
- Top /r/MachineLearning Posts, Feb 15-21: The Elephant in the Room of ML Research - Feb 24, 2015.
Problems with deep learning papers, Coursera linear algebra courses, Reddit comment visualizations, deep learning lectures, and genetic algorithm introductions make up the top posts this week on /r/MachineLearning.
- Coursera / Stanford Mining Massive Datasets MOOC, Jan-Mar 2015 - Jan 12, 2015.
Don't miss! Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Next session of this great course starts Jan 31 on Coursera and is free.
- Top KDnuggets tweets, Nov 24-25: Why So Many Data Ideas Fail: beware of building on public or others data - Nov 28, 2014.
Why So Many Data Ideas Fail: beware of building on public or others data; #BigData Top Trends in 2015: In-memory DBs, Non-Data Scientists, Sensor Data ...; Hackathon pits data scientists against social problems; Great course: Intro to Statistical Learning, with Applications in R.
- Top KDnuggets tweets, Oct 13-14: Data mining classics: Classifying Shakespearean Drama - Oct 15, 2014.
Also - The Open Source Data Science MS Curriculum: UW/Coursera + Harvard ; Statistical Modeling vs Machine Learning - mapping the terms and concepts; Very useful! Python 2.7 Quick Reference Sheet.
- Top stories in September: Data Science is mainly a Human Science; Hiring Data Scientists: What to look for? - Oct 7, 2014.
Data Science is mainly a Human Science; Hiring Data Scientists: What to look for?; Most Viewed Machine Learning Talks at Videolectures; Neural Networks and Deep Learning, free online book (draft).
- Top stories for Sep 14-20: Coursera Mining Massive Datasets MOOC; Rattle package for Data Mining in R - Sep 21, 2014.
Coursera / Stanford Mining Massive Datasets MOOC; Rattle package for Data Mining and Data Science in R; edX "Learning From Data"; Caltech course; Neural Networks and Deep Learning, free online book (draft).
- Top KDnuggets tweets, Sep 15-16 - Sep 17, 2014.
14 Awesome (and Free) Data Science Books on Statistical and Machine Learning; Mining Massive Datasets, free on Coursera, by top Stanford researchers - starts Sep 29; Nike: Senior Data Scientist.
- Coursera / Stanford Mining Massive Datasets MOOC - Sep 16, 2014.
Don't miss this Big Data MOOC on Coursera (free)! Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Starts Sep 29.
- MOOC: “Process Mining: Data science in Action” - Sep 10, 2014.
This 6 week online course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
- Top KDnuggets tweets, May 26-27 - May 28, 2014.
Machine Learning Algorithms Tour: Regression, kNN, Regularization, Decision Tree; Where to Learn Deep Learning - Courses, Tutorials, Software; 9 Courses on Data Science, R, Machine Learning start on Coursera.
- Top KDnuggets tweets, Apr 14-15 - Apr 16, 2014.
9 Free Books for Learning Data Mining and Data Science; Coursera #DataScience Specialization: 10 courses from JHU; Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science; EMC Data Science and Big Data Analytics Offer.
- Top KDnuggets tweets, Apr 7-8: Beware of P values – they are not reliable; The Data Scientist Toolbox online course - Apr 9, 2014.
Data scientists beware: P values are not reliable; The Data Scientist Toolbox course - online at Coursera; Beyond the Science of Data Science; EU recommends changing copyright law to enable scientific text data mining.
- Top KDnuggets tweets, Mar 26-27: Watch “Statistics with R for newbies”; Coursera free #DataScience courses - Mar 28, 2014.
Also free ebooks on Practical Machine Learning: Innovations in Recommendations, and Apache Hive - How to access big data on Hadoop with SQL/HiveQL.
- Top KDnuggets tweets, Jan 22-23: 30 Free Data Mining Tools; Linkurious – explore and visualize graph data - Jan 24, 2014.
A somewhat random but useful review of 30+ Free Data Mining Software tools; Linkurious: a solution to explore and visualize graph data; The Data Scientist Toolbox, starts on Coursera Apr 7
- Top 10 KDnuggets tweets, Jan 20-21: Data scientists who use OS tools earn more; JHU #DataScience Specialization - Jan 22, 2014.
Data scientists who master open source tools R, Python, Hadoop earn more; JHU offers 9-Course #DataScience Specialization via Coursera; The Life of a Data Scientist, Relentless, but in a Lazy Way; MADlib, a solution for #BigData Analytics
- Coursera Andrew Ng on Online Revolution: Education for Everyone - Aug 15, 2013.
My report on KDD-2013 Keynote talk by Coursera co-founder Andrew Ng, on Coursera far-reaching experiment in education, which collected more educational data in one year than all the universities in the history of mankind. Andrew Ng believes that great education should not be only for the privileged but should be a fundamental human right.