- The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization - Oct 7, 2019.
As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.
- Which Data Science Skills are core and which are hot/emerging ones? - Sep 17, 2019.
We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.
- New Poll: Data Science Skills - Aug 28, 2019.
New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.
- How Creating an AI Study Group Boosted My Skills and Got Me a Job - Aug 13, 2019.
The amount of time I had to put in to organize the AI Society left me sometimes sleep-deprived but it was definitely worth it. It was also one of the main factors why I got the job in Machine Learning after all. I hope that this article will inspire you to create your own AI study group!
- Top 13 Skills To Become a Rockstar Data Scientist - Jul 26, 2019.
Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.
- 12 Things I Learned During My First Year as a Machine Learning Engineer - Jul 23, 2019.
Learn about the day-in-the-life of one machine learning engineer and the important lessons learned for being successful in that role.
- A Step-by-Step Guide to Transitioning your Career to Data Science – Part 2 - Jun 7, 2019.
How do you identify the technical skills a hiring manager is looking for? How do you build a data science project that draws the attention of a hiring manager?
- A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1 - May 31, 2019.
If you are looking to transition your career to data science, don't immediately start learning Python or R. Instead, leverage the domain expertise you have accumulated over the years. Here's a foolproof guide on how to do that.
- The Analytics Engineer – new role in the data team - Feb 13, 2019.
In a constantly changing landscape and with many companies, the roles and responsibilities of data engineers, analysts, and data scientists are changing, forcing the introduction of a new role: The Analytics Engineer.
- KDnuggets™ News 19:n05, Jan 30: Your AI skills are worth less than you think; 7 Steps to Mastering Basic Machine Learning - Jan 30, 2019.
Also: Logistic Regression: A Concise Technical Overview; AI is a Big Fat Lie; How To Fine Tune Your Machine Learning Models To Improve Forecasting Accuracy; Airbnb Rental Listings Dataset Mining; Data Science Project Flow for Startups
- Your AI skills are worth less than you think - Jan 25, 2019.
We are in the middle of an AI boom. That doesn’t mean that making your AI startup succeed is easy. I think there are some important pitfalls ahead of anyone trying to build their business around AI.
- How to go from Zero to Employment in Data Science - Jan 15, 2019.
We propose the quickest and surest way to go from zero experience to landing a job, either in data science generally, or specifically in a new programming language or a new technology.
- 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.
- Build Your Skills in the Career You Love – KDnuggets Offer - Feb 15, 2018.
In the spirit of Valentine's Day, we want to show you the love - data love. Use coupon KDLOVE25 and save 25% on all individual Online Learning courses*, now through February 26!
- 8 Ways to Improve Your Data Science Skills in 2 Years - Nov 17, 2017.
Two years. Two years is the maximum amount of time you should spend focused on your learning, education and training. That’s exactly why this guide is focused on honing the most beneficial skills in two years.
- How to Job Interview a Data Scientist - Nov 7, 2017.
Data Scientist is a very broad term and hiring a good fit data scientist for your project is challenging task. Here we discuss this important topic in details.
- Putting Machine Learning in Production - Sep 22, 2017.
In machine learning, going from research to production environment requires a well designed architecture. This blog shows how to transfer a trained model to a prediction server.
- Closing the Insights-to-Action Gap - Sep 5, 2017.
There are many types of analytics for getting insight out of data, but the bigger and more difficult challenge is turning that insight into action. What should we do differently based on your findings?
- They Want to Get Rid of Me! (Data Scientist Lament) - Apr 21, 2017.
We examine “citizen” data scientists and debate between Jeffersonians, who seek to empower everyday worker with data science tools, and Platonists who argue that democratizing data science leads to anarchy and overfitting.
- Top mistakes data scientists make when dealing with business people - Apr 13, 2017.
There are no cover articles praising the fails of the many data scientists that don’t live up to the hype. Here we examine 3 typical mistakes and how to avoid them.
- The Librarian, the Scientist, the Alchemist and the Engineer: Anatomy of a DataOps Expert - Apr 10, 2017.
We know various job profiles in data science – data engineer, data scientist, data analyst etc. Here we explain how these roles fits in a real world data science team and what they do.
- How to stay out of analytic rabbit holes: avoiding investigation loops and their traps - Apr 6, 2017.
Data scientists tend to think that their main job is to answer complex questions and gain in-depth insights, bu in reality it is all about solving problems – and the only way to solve a problem is to act on it.
- Beware of Two Data Obfuscation Tactics - Apr 3, 2017.
We examine 2 common tactics by data "skeptics": demanding more precision and demanding unanimity. These techniques are especially effective against data scientists, who should be aware of them, and able to counteract them.
- What makes a great data scientist? - Mar 30, 2017.
Here are 3 key traits that differentiate between a data scientist and a great data scientist, starting with – great data scientist is obsessed with solving problems, not new tools.
- Why A/B Testers Have The Best Jobs In Tech - Mar 22, 2017.
Learning about what these people do made it clear that when you are deeply involved in A/B testing at scale, there is a tremendous rush from doing so many different things that matter.
- How to get your first job in Data Science? - Feb 6, 2017.
We provide guidelines for the most important questions, including the key data scientist skills and tools, how to get them, how to learn and practice, and where to send your application.
- 10 Tips to Improve your Data Science Interview - Nov 29, 2016.
Interviewing is a skill. Here are 10 tips and resources to improve your Data Science interviews.
- How to Become a Data Scientist – Part 3 - Sep 6, 2016.
This is the third and final part of a thorough, in-depth overview of becoming a data scientist, written by a recruiter in the field. This part focuses on the job market.
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- Cartoon: Labor Day in the era of Robotics - Sep 5, 2016.
Amidst all the discussion about robots and automation taking over human jobs, new KDnuggets cartoon looks at how Labor Day can evolve by 2050.
- How to Become a Data Scientist – Part 2 - Aug 30, 2016.
Check out part 2 of this excellent series of articles on becoming a data scientist, written by someone who spends their day recruiting data scientists. This installation focuses on learning.
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- How to Become a Data Scientist – Part 1 - Aug 22, 2016.
Check out this excellent (and exhaustive) article on becoming a data scientist, written by someone who spends their day recruiting data scientists. Do yourself a favor and read the whole way through. You won't regret it!
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- The Benefits of Decentralizing Analytics Talent - Jun 4, 2016.
Over the next several years data will be served in a variety of ways, greater innovation will come from companies that look to share raw data. Here we talk about, democratizing the data which requires a different philosophy to allow all business functions to participate in analytics.
- Practical skills that practical data scientists need - May 13, 2016.
The long story short, data scientist needs to be capable of solving business analytics problems. Learn more about the skill-set you need to master to achieve so.
- Data Scientists – future-proof yourselves - May 10, 2016.
Here are 7 suggestions for Data Scientist to make themselves future-proof and get skills for a successful Data Science career in the future.
- Data scientists mostly just do arithmetic and that’s a good thing - May 10, 2016.
Are you also wondering how you can get started as data scientist, and become a valuable team player. Understand what really matters as data scientist, and things to focus in the initial stages.
- There is more to a successful data scientist than mere knowledge - May 9, 2016.
Look at Data scientist "definitions" with a wry smile: the "essential" skills very much reflect those that a short time ago were quite novel, and are being used in applications to problems that have recently become solvable.
- 10 Signs Of A Bad Data Scientist - Apr 6, 2016.
With the number of people claiming to be a data scientist growing, the “true” data scientists are becoming hard to find. Here your guide identify the clues to catch a bad data scientists.
- Career Advice to Data Scientists – Go Make More Money - Mar 16, 2016.
Data Scientist should offer the enterprise more than the ability (and cost) of doing analysis, but behave as an executive with expertise in analysis and help lead the enterprise on decisions, investments, and operations.
- Data Science Skills for 2016 - Feb 12, 2016.
As demand for the hottest job is getting hotter in new year, the skill set required for them is getting larger. Here, we are discussing the skills which will be in high demand for data scientist which include data visualization, Apache Spark, R, python and many more.
- A Look Back on the 1st Three Months of Becoming a Data Scientist - Jan 13, 2016.
A person new to the Data Science field summarizes his surprising findings after a few months on the job.
- KDnuggets™ News 15:n42, Dec 29: Where did you apply Analytics? 5 ways Data Scientists keep learning - Dec 29, 2015.
Poll: Industries/Fields where you applied Analytics, Data Mining, Data Science in 2015; 5 Ways Data Scientists Keep Learning After College; Lessons from 2M Machine Learning Models on Kaggle; 10 BI Trends for 2016.
- H2O World 2015 – Day 3 Highlights - Nov 20, 2015.
Highlights from talks delivered by machine learning experts from Fast Forward Labs, H20.ai, Kaiser and Macy's at H2O World held in Mountain View.
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- Explaining Analytics to Decision Makers: Insights to Actions - Oct 27, 2015.
Communicating the value of analytics work requires different tools and skills than building predictive models, but you need to master these tools to have your work implemented.
- INFORMS Courses: Essential Practice Skills, Data Exploration and Visualization, November, Baltimore - Oct 5, 2015.
Two INFORMS courses teach Essential Practice Skills for High-Impact Analytics Projects (Nov 18-19) and Data Exploration & Visualization (Nov 10-11). Both courses are given at Johns Hopkins University, Baltimore, MD.
- Data science job market – what it’s like - Oct 2, 2015.
Data scientist interviews can be complex and there is no definite recipe for the success. Understand the complications and processes of an interview and what you should be careful about before accepting the offer.
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- Is Analytics Career Right for You? - Jun 12, 2015.
An analytical way to decide whether you should pursue a career in analytics. We shared some economic ways to getting started and mind-set required for entering into this exciting field.
- Interview: Sheridan Hitchens, Auction.com on Data Science Evolution from a Nerdy Hobby to a Strategic Priority - Jun 4, 2015.
We discuss the evolution of Data Science expectations, Data Science as a career, advice, and more.
- INFORMS Essential Practice Skills for Analytics Professionals + Baseball Night - May 29, 2015.
Register for the "Essential Practice Skills for Analytics Professionals" Course (Chicago, Jun 23-24) and join INFORMS for a Special Networking Night and Baseball at Wrigley Field.
- Interview: Antonio Magnaghi, TicketMaster on Why Honesty is Key for Analytics Success - May 19, 2015.
We discuss lessons from implementing lambda architecture, impact of Big Data on recommender systems, trends, advice, and more.
- INFORMS Analytics courses: Discrete-Event Simulation, Essential Practice Skills for Analytics Professionals - May 14, 2015.
INFORMS Continuing Education courses are designed to enhance the skills for today’s analytics professionals. SPECIAL OFFER: Register now to save $350 on registration for the upcoming course Introduction to Monte Carlo and Discrete-Event Simulation, offered on May 28-29 in Washington, DC.
- Interview: Mark Weiner, Temple University Health System on Addressing Healthcare Data Gaps through Advanced Simulation - May 12, 2015.
We discuss dealing with current gaps in healthcare data, challenges in using real world healthcare data, desired skills for data scientists in healthcare industry, advice, and more.
- Interview: Rachel Hawley, SAS on Why Data Science Needs Communication Skills - Feb 4, 2015.
We discuss SAS Analytics Center of Excellence, trends, advice, desired skills in data science and more.
- Interview: Arno Candel, H2O.ai on the Journey from Physics to Machine Learning - Jan 22, 2015.
We discuss Arno’s career path, transition from Physics to Machine Learning, talent gap in Big Data, advice and more.
- INFORMS Analytics and Data Science Education - Jan 12, 2015.
Upcoming INFORMS continuing education courses offer training in Essential Skills for Analytics Professionals, Data Exploration & Visualization, Modern Predictive Analytics, and Monte Carlo and Discrete-Event Simulation.
- Top stories for Dec 28 – Jan 3: What will happen to big data and data science? Analytics: Five Rules to Cut Through the Hype - Jan 4, 2015.
2015 Predictions: What will happen to big data and data science?; Data Mining is LinkedIn Hottest Skill in 2014; Analytics: Five Rules to Cut Through the Hype; 11 Clever Methods of Overfitting and how to avoid them.
- KDnuggets 14:n35, Data Mining: Hottest Skill; 2015 Predictions; KDD-2015 - Dec 29, 2014.
2015 Predictions: What will happen to big data and data science? KDD-2015 in Sydney - CFP; Open Source Tools for Machine Learning; The Big Data of Wearables.
- Top KDnuggets tweets, Dec 15-21: Cartoon: Unexpected Machine Learning Recommendations; Data Science at the Command Line - Dec 22, 2014.
KDnuggets Cartoon: Unexpected #MachineLearning Recommendations for holidays; Review: #DataScience at the Command Line - great book; 4 questions that reveal whether you have the hottest job skill of 2014; Why #Amazon Ratings Might Mislead You: Herding Effects.
- Data Mining (and Statistical Analysis) is LinkedIn Hottest Skill in 2014 - Dec 18, 2014.
Data Mining was LinkedIn Hottest Skill in 2014, moving up from number 5 in 2013. Top locations for "data mining" skill were US, India, Australia, and Canada, while top companies were IBM, Microsoft, Google, and Accenture.
- Most Demanded Data Science and Data Mining Skills - Dec 15, 2014.
Our analysis of most demanded data scientist skills shows that Data Science is a team effort focused on business analytics, with top 5 platform skills being SQL, Python, R, SAS, and Hadoop.
- Australia Analytics Professionals Skills and Salary Report - Dec 10, 2014.
The Institute of Analytics Professionals has published a report showing that in Australia data science recruitment is challenging, salaries are high, social analytics is hot, and there are business challenges that analysts face.
- SPOTLIGHT: Can Data Science Save Humanity from Mosquitoes and other Deadly Insects? - Oct 8, 2014.
KDnuggets launches Spotlight initiative to bring attention to academic research. The journey begins with Prof. Eamonn Keogh and his student, Yanping Chen, who are applying data mining to save us all from insect-vectored diseases.
- Interview: Joe Otto, Alpine on Selecting the Right Big Data Vendor - Sep 10, 2014.
We discuss Big Data vendor landscape, key relevant questions, Alpine's competitive differentiation, important qualities sought in data scientists, and more.
- Hiring Data Scientists: What to look for? - Sep 9, 2014.
Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.
- Analytical Skills Survey for 2014 - Sep 2, 2014.
Have your voice be heard - participate in the Analytical Skills, Tools and Attitudes Survey 2014, and see the challenges faced by others.
- Interview: John Funge, CTO, Knack on Why Gaming is the Next Big Thing for Hiring - Aug 18, 2014.
We discuss the gamification of hiring, founding story of Knack, applications of Predictive Human Analytics, challenges, Big Data tools and technology used, key qualities sought in data scientists, career advice and more.
- Recommendations for Big Data Success for the Long Haul - Aug 15, 2014.
Overcome common big data challenges by identifying the right POC (proof-of-concept) use case for Hadoop and leveraging its success to build executive and stakeholder buy-in.
- Interview: Sujee Maniyam, Elephant Scale on the Best Free Online Resources to Learn Hadoop - Aug 7, 2014.
We discuss the startup - Elephant Scale, DIY Hadoop learning, best free online resources for learning Hadoop, getting a good job in Big Data, and the experience of authoring a book - Hadoop Illuminated (available for free).
- Interview: Vita Markman, LinkedIn on Discovering Customer Insights through Sentiment Mining - Aug 5, 2014.
We discuss examples of discovery through sentiment mining, current trends, innovative applications, important soft skills, and more.
- Interview: Taylor Phillips, Square on Why Finance Needs Machine Learning and Data Science - Aug 1, 2014.
We discuss the role of data science at Square, common machine learning use cases, transition to real-time architecture, major challenges, expectations from data science, key qualities for data scientists, and more.
- Interview: Samaneh Moghaddam, Applied Researcher, eBay on Opinion Mining – Typical Projects and Major Challenges - Jun 27, 2014.
We discuss typical sentiment analysis problems at eBay, underrated challenges, career motivation, important soft skills and more.
- Interview: Santhosh Adayikkoth, CEO, BigInfo Labs on Big Data perception and learning Big Data skills - Jun 7, 2014.
We discuss BigInfo Labs' future plans, Big Data perception at C-level in large firms, most effective ways to learn Big Data skills and more.
- Interview: Kirk Borne, Data Scientist, GMU on Decision Science as a Service and Data Science curriculum - May 31, 2014.
We discuss Kirk's role at Syntasa, the concept of "Decision Science as a Service", key components of a well-designed Data Science education curriculum, advice for young aspirants and more.
- Big Data Leads Top Paying Skills - Apr 29, 2014.
Big Data related skills led the list of top paying technical skills (six-figure salaries) in 2013. Several other useful insights are available in the Dice Tech Survey Report, available for free download.
- Exclusive Interview: David Stringfellow, Chief Economist, State Utah Auditor - Apr 25, 2014.
We discuss Analytics for Public Policy decisions, responsibilities of Utah Chief Data Officer, crowdsourcing analytics for resolving Government problems and most important skills for data science practitioners.
- WCAI: Measuring Skill Level and Optimizing Player-Matching Algorithms in Online Games - Mar 26, 2014.
New research opportunity from Wharton Customer Analytics Initiative (WCAI) involves a unique data set from a major gaming company, with historic behavioral data for 9.5 million users who played 882K games. Learn more on Apr 25.
- Top KDnuggets tweets, Mar 17-18: NSA metadata can find medical/financial conditions; Machine Learning in 7 Pictures - Mar 19, 2014.
Stanford students show NSA metadata can find medical, financial conditions; Machine Learning in 7 Pictures ; Social Networks are investing big in Artificial Intelligence; 7 Key Skills of Effective Data Scientists.
- Best KDnuggets tweets in January: Data Science Venn Diagram v2.0: “unicorns”; Great map of #DataScience skills - Feb 4, 2014.
Data Science Venn Diagram v2.0 - how to find "unicorn" data scientist; Great map of #DataScience skills (Biz, ML, #BigData, Coding, Stats) vs Roles; Dilbert takes on #BigData Analysis and Salaries of Top Performers - hilarious! Learning from Data: Caltech free online course, now with captions in 40+ languages.
- Top KDnuggets tweets, Jan 24-26: Great map of #DataScience skills; Online Courses in Predictive Analytics, ML - Jan 27, 2014.
Great map of #DataScience skills (Biz, ML, #BigData, Coding, Stats) vs Roles ; Online Courses in Predictive Analytics, Machine Learning, Data Science; Top #BigData Trend in 2014: Big Data as a Service; Opinion: Why your company should NOT use Big Data.
- Split on Data Science Skills: Individual vs Team Approach - Jan 21, 2014.
The results of latest KDnuggets poll show an almost equal split between those who favor individual and those who favor the team approach. See the counterintuitive regional differences and interesting comments.