- How to Build Your Data Science Competency for Post-COVID Future - Jul 1, 2020.
Data science is helping healthcare organizations and businesses navigate the current crisis more effectively. Find out how you can learn this in-demand qualification and help them with addressing complex challenges.
- KDnuggets™ News 20:n02, Jan 15: Top 5 Must-have Data Science Skills; Learn Machine Learning with THIS Book - Jan 15, 2020.
This week: learn the 5 must-have data science skills for the new year; find out which book is THE book to get started learning machine learning; pick up some Python tips and tricks; learn SQL, but learn it the hard way; and find an introductory guide to learning common NLP techniques.
- Top 5 must-have Data Science skills for 2020 - Jan 8, 2020.
The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.
- KDnuggets™ News 19:n49, Dec 27: What is a Data Scientist Worth? New Explainable AI from Google - Dec 27, 2019.
What is a Data Scientist Worth?; Google's New Explainable AI Service; The Most In Demand Tech Skills for Data Scientists; The 4 fastest ways NOT to get hired as a data scientist; and KDnuggets Cartoon which was included in a surprising textbook.
- The Most In Demand Tech Skills for Data Scientists - Dec 20, 2019.
By the end of this article you’ll know which technologies are becoming more popular with employers and which are becoming less popular.
- The Complete Data Science LinkedIn Profile Guide - Nov 11, 2019.
With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.
- What is Data Science? - Nov 8, 2019.
Data Science is pitched as a modern and exciting job offering high satisfaction. Does its reality really live up to the hype? Here, we show what it's really like to work as a Data Scientist.
- Addressing the Growing Need for Skills in Data Science - Oct 22, 2019.
To address the current difficulties in hiring data scientists due to their short supply, many companies can benefit from retraining existing analytically minded employees.
- 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.
- KDnuggets™ News 19:n35, Sep 18: Which Data Science Skills are core and which are hot/emerging ones?; There is No Free Lunch in Data Science Features - Sep 18, 2019.
Check the results of KDnuggets' latest poll to find out which data science skills are core and which are hot/emerging ones; why is there no free lunch in data science?; training Scikit-learn 100x faster; poking fun at unsupervised machine learning; exploring the case for ensemble learning. All this and much more this week on KDnuggets.
- 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.
- I wasn’t getting hired as a Data Scientist. So I sought data on who is. - Sep 6, 2019.
Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before.
- KDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented Programming for Data Scientists - Sep 4, 2019.
This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine Learning; 4 Tips for Advanced Feature Engineering and Preprocessing; and much more!
- 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 to Become More Marketable as a Data Scientist - Aug 16, 2019.
As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.
- KDnuggets™ News 19:n28, Jul 31: Top 13 Skills To Become a Rockstar Data Scientist; Best Podcasts on AI, Analytics, Data Science - Jul 31, 2019.
Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field
- 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.
- Show off your Data Science skills with Kaggle Kernels - Jun 14, 2019.
Kaggle is not just about data science competitions. They also have a platform called Kaggle Kernels, using which you can build a stellar data science portfolio.
- The Third Wave Data Scientist - May 6, 2019.
An extensive look at what skills are needed to make up the portfolio of the third wave of data scientists.
- The most desired skill in data science - Apr 26, 2019.
What is the biggest skill gap in data science according to hiring managers looking for hire recent graduates? Hint: it’s not coding.
- Who is a typical Data Scientist in 2019? - Mar 11, 2019.
We investigate what a typical data scientist looks like and see how this differs from this time last year, looking at skill set, programming languages, industry of employment, country of employment, and more.
- The Difference Between Data Scientists and Data Engineers - Mar 4, 2019.
ODSC East 2019 has multiple tracks for both Data Scientists and Data Engineers, including workshops, talks, and training sessions. Save 45% with code KDN45.
- KDnuggets™ News 18:n45, Nov 28: Your Favorite Python IDE/editor? Intro to Data Science for Managers - Nov 28, 2018.
Also: 6 Goals Every Wannabe Data Scientist Should Make for 2019; Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices.
- To get hired as a data scientist, don’t follow the herd - Nov 12, 2018.
Key tips, including advice on how to step out of your comfort zone and sometimes overlooked important skills that will impress employers. Check also the audio version with additional advice.
- KDnuggets™ News 18:n42, Nov 7: The Most in Demand Skills for Data Scientists; How Machines Understand Our Language: Intro to NLP - Nov 7, 2018.
Also: Machine Learning Classification: A Dataset-based Pictorial; Quantum Machine Learning: A look at myths, realities, and future projections; Multi-Class Text Classification Model Comparison and Selection; Top 13 Python Deep Learning Libraries
- The Most in Demand Skills for Data Scientists - Nov 2, 2018.
Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. How should data scientists who want to be in demand by employers spend their learning budget?
- Select Your Analytics Adventure – Analytics On-boarding - Oct 15, 2018.
Lower the barriers to productivity by employing a “Choose your own adventure” approach to on-boarding your new analytics team members.
- Webinar: Life as a Data Scientist, Sep 12 - Sep 8, 2018.
Watch Springboard webinar and learn everything from the hard skills to the soft skills aspiring data scientists need. Springboard Data Science Career Track now offers deferred tuition - learn more.
- What Data Scientists Want? - Aug 27, 2018.
We examine what's important for data scientists in their careers, including challenging work, networking with peers, foreseeing their career path and creating a good work-life balance.
- Data Scientist Interviews Demystified - Aug 2, 2018.
We look at typical questions in a data science interview, examine the rationale for such questions, and hope to demystify the interview process for recent graduates and aspiring data scientists.
- KDnuggets™ News 18:n21, May 23: Python eats away at R; Top 2018 Analytics, Data Science, Machine Learning tools; 9 Must-have skills for a Data Scientist - May 23, 2018.
Also How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch; Frameworks for Approaching the Machine Learning Process.
- 9 Must-have skills you need to become a Data Scientist, updated - May 17, 2018.
Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.
- 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 Guide to Hiring Data Scientists - Feb 22, 2018.
This article provides a short overview of emerging data scientist types and their unique skillsets, as well as a guide for HR professionals and analytics managers who are looking to hire their first data scientists or build a data science team. Included are an overview of skills for each type and specific questions that can be asked to assess candidates.
- Stop Doing Fragile Research - Nov 17, 2017.
If you develop methods for data analysis, you might only be conducting gentle tests of your method on idealized data. This leads to “fragile research,” which breaks when released into the wild. Here, I share 3 ways to make your methods robust.
- 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.
- KDnuggets™ News 17:n24, Jun 21: Learn Data Science skills you need for free; Understanding Deep Learning Requires Re-thinking Generalization - Jun 21, 2017.
Learn Data Science skills you need for free; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau - Call Detail Records; The Machine Learning Algorithms Used in Self-Driving Cars.
- Data Scientist: Learn the Skills you need for free - Jun 14, 2017.
Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.
- Getting Into Data Science: What You Need to Know - May 18, 2017.
Ready to embark on an exciting and in-demand career? Here’s what you need to know about what a data scientist does—and how you can become competitive in this in-demand field.
- Data science through the lens of research design - May 16, 2017.
Data science projects may often fail due to a lack of clear definition of the business goal and not because data scientists technical abilities. We examine the connection between data science and research design to help address this issue.
- The Quant Crunch: The demand for data science skills - May 10, 2017.
This report, created by analyzing millions of job postings using advanced technology, divides Data Science and Analytics roles into 6 broad categories, and answers many questions, including cities, industries, job roles with most growth.
- 42 Essential Quotes by Data Science Thought Leaders - May 4, 2017.
42 illuminating quotes you need to read if you’re a data scientist or considering a career in the field – insights from industry experts tackling the tough questions that every data scientist faces.
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- KDnuggets™ News 17:n13, Apr 5: What makes a great data scientist? Best R Packages for Machine Learning - Apr 5, 2017.
Also Best R Packages for Machine Learning; Deep Stubborn Networks - A Breakthrough Advance Towards Adversarial Machine Learning; A Short Guide to Navigating the Jupyter Ecosystem.
- 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.
- How to think like a data scientist to become one - Mar 23, 2017.
The author went from securities analyst to Head of Data Science at Amazon. He describes what he learned in his journey and gives 4 useful rules based on his experience.
- How to Get a Data Science Job: A Ridiculously Specific Guide - Mar 7, 2017.
Job hunting is challenging and sometimes frustrating task and we all experience it in our career. Here we provide a very specific and practical guide to get your dream job in Data Science world.
- 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.
- Kobielus Predictions for Data Science in 2017 - Dec 5, 2016.
IBM Data Evangelist James Kobielus predictions for 2017, including key role of data scientists in survival of their companies. Join industry experts for a live #MakeDataSimple Crowdchat on Thursday December 8 at 1:00pm EST.
- Mind of a Data Scientist – Part 2 - Oct 26, 2016.
First part of this series was about formulation of the business problem and engineering the data points. This is the last part of the series and it tells us about exploratory data analysis and feature engineering.
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- Mind of a Data Scientist – Part 1 - Oct 25, 2016.
By now, many people are aware of which technical skills are required for a Data Scientist, but do you know what mindset or thinking is required to be a good data scientist? Let’s read this two parts series by an industry expert.
- 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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- 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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- 10 Must Have Data Science Skills, Updated - May 23, 2016.
An updated look at the state of the data science landscape, and the skills - both technical and non-technical - that are absolutely required to make it as a data scientist.
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- Building effective “Citizens Data Scientist” teams - Apr 28, 2016.
The idea of citizen data scientists is being for more than a year, which suggests businesses to put the people from the business side in the work of exploring and analyzing data. Understand how you and your organisation can be benefitted by this.
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- 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.
- How to tell a great analyst from a good analyst - Mar 15, 2016.
Good analyst help businesses to stay in the competition, but great analyst sets the business apart from its competition. Learn more about how to be a great analyst by walking that extra mile.
- Practical Career Advice and Best Practices in Analytics - Mar 10, 2016.
Being an analyst is not only a technical job it also has a peoples side to it. Given that many MBAs, engineers, and even non-quantitative graduates are interested in Analytics careers, we are sharing some advice on best practices for excelling with Analytics in your career.
- KDnuggets™ News 16:n07, Feb 24: Deep Learning For Everyone; 21 Must-Know Data Science Q&A, part 2; Amazon Machine Learning - Feb 24, 2016.
21 Must-Know Data Science Interview Questions and Answers, part 2; Opening Up Deep Learning For Everyone; Getting Started with Data Visualization; Top 10 Data Visualization Projects on Github; Amazon Machine Learning.
- Software development skills for data scientists - Dec 29, 2015.
Data science is not only about building the models and sharing insights, many times they have to collaborate in deploying models and sharing them with software developers, learn which things to keep in mind while doing so.
- The Art of Data Science: The Skills You Need and How to Get Them - Dec 28, 2015.
Learn, how to turn the deluge of data into the gold by algorithms, feature engineering, reasoning out business value and ultimately building a data driven organization.
- Top KDnuggets tweets, Nov 3-9: 500 Deep Learning Papers, Graphviz and Python; Facebook App can answer questions on content of photos - Nov 10, 2015.
500 #DeepLearning Papers, Graphviz and Python; Skills You Need To Become a $240K+ Unicorn Data Scientist: n1 is Apache #Spark; Cartoon: It all started with the iPhone answering my Gmail; Overview of Python Visualization Tools
- 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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- Doing Data Science at Twitter - Sep 16, 2015.
Data scientist career exciting, fulfilling and multidimensional career path. Understand through the journey of a data scientist of twitter about data scientists roles, responsibilities and skills required to perform them.
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- Are you trying to acquire Machine Learning Skills? - Sep 16, 2015.
Embarking on a journey through the lands of machine learning? Here are few important lessons like Feature Engineering, Model tuning, Overfitting, Ensembling etc. which you should keep in mind along the way.
- Salaries by Roles in Data Science and Business Intelligence - Sep 9, 2015.
Data Scientist is the hottest role. What's next? We present national average salaries, job title progression in career, job trends and skills for popular job titles in Data Science & Business Intelligence. Check out the salaries of related roles.
- Paradoxes of Data Science - Aug 21, 2015.
There are many paradoxes, ironies and disconnects in today’s world of data science: pain points, things ignored, shoved under the rug, denied or paid lip.
- Statistics Denial Myth: Repackaging Statistics With Straddling Terms - Jul 16, 2015.
Data science is nothing but the old wine in new bottle versions of the statistics with different fields. Here, we are busting the myth which states data scientist is new and different than traditional statisticians.
- KDnuggets Interview: Amr Awadallah, CTO & Co-founder, Cloudera on the Secret Sauce of Open Source - Jul 2, 2015.
We discuss the critical success factor for open source projects, entrepreneurial lessons, advice, desired qualities in data scientists and more.
- 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.
- Will the Real Data Scientists Please Stand Up? - May 18, 2015.
Job postings for data scientists are everywhere. But what is a data scientist? I present a few archetypes.
- Top KDnuggets tweets, May 4-11: Why #HowOldRobot went viral and how does it work? 3 Things About #DataScience You Won’t Find In Books - May 12, 2015.
Why #HowOldRobot went viral and how does it work? 3 Things About #DataScience You Won't Find In Books; Cartoon reminds all Data Scientists to remember their Mother; Data Scientist vs Data #Engineer.
- Interview: Michael Li, Data Incubator on Bridging the Data Science Skills Gap between Academia and Industry - Apr 21, 2015.
We discuss the response from hiring companies, recommendations for aspirants, retaining data science talent, advice, and more.
- Interview: Alessandro Gagliardi, Glassdoor on the Indispensable Skills for Data Scientists - Apr 1, 2015.
We discuss Analytics at Glassdoor, important lessons, major factors affecting job satisfaction, challenges of working on Twitter Data, indispensable components of Data Science education.
- Data Science as a profession – time is now - Mar 30, 2015.
Now is the time to begin thinking of Data Science as a profession not a job, as a corporate culture not a corporate agenda, as a strategy not a stratagem, as a core competency not a course, and as a way of doing things not a thing to do.
- 5 Lessons from a Data Science Chat - Mar 19, 2015.
Data science applications, key challenges, appropriate skills and more – key takeaways from a data science Tweet chat.
- Interview: Kaiser Fung, NYU on Why Statistical Reasoning is more important than Number Crunching - Mar 5, 2015.
We discuss why every individual should care about statistics, inspiration behind the book Numbersense, teaching statistics as liberal arts, Junk Charts blog, advice and more.
- Interview: Nicholas Marko, Geisinger on the Skills Needed for Healthcare Analytics - Feb 27, 2015.
We discuss challenges of dealing with healthcare data, trends in healthcare analytics, important skills for data scientists and more.
- Interview: Phani Nagarjuna, Nuevora on Right Data and Business Analytics Roadmap - Feb 10, 2015.
We discuss the journey of Business Analytics, definition of Right Data, competitive differentiation of Nuevora, challenges in the large-scale consumerization of analytics, and more.
- Interview: Sharmila Mulligan, ClearStory Data on Variety & Velocity to be Big Data Priorities - Jan 10, 2015.
We discuss the ClearStory Data’s competitive differentiation, client use case, Big Data trends, advice, desired soft skills in data scientists and more.
- Top KDnuggets tweets, Dec 22-28: Top 10 Data Science Skills, and How to Learn Them; How to tell correlation from causation - Dec 29, 2014.
Top 10 Data Science Skills, and How to Learn Them; Mathematicians claim to figure out how to tell correlation from causation; Review of #MOOC Learning from Data - the class that changed everything; Free Big Data sources every Data Science enthusiast should know.
- Top stories for Dec 14-20: Most Demanded Data Science/Data Mining Skills; Watson Analytics vs. Azure Machine Learning - Dec 21, 2014.
Most Demanded Data Science and Data Mining Skills; IBM Watson Analytics vs. Microsoft Azure Machine Learning; Cartoon: Unexpected Data Science Recommendations; 16 NoSQL, NewSQL Databases To Watch.
- Top KDnuggets tweets, Dec 15-16: KDnuggets Cartoon: Unexpected Machine Learning Recommendations - Dec 17, 2014.
KDnuggets Cartoon: Unexpected Machine Learning Recommendations; Review: #DataScience at the Command Line - great book; Most Demanded Data Science and Data Mining Skills; The problem is that many ML researchers are not working on on most impactful areas.
- Top KDnuggets tweets, Dec 7-14: Google new CAPTCHA trains #AI; Random Forests, SVM give best results - Dec 15, 2014.
Which one is the bunny? Google new CAPTCHA bot-trap trains #AI; O'Reilly Data Scientist Salary and Tools Survey 2014; Microsoft brings the power of #MachineLearning to Office Online; 10 Data Science Newsletters to Subscribe to.
- 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.
- 2015 Predictions – What’s Next for Data Scientists? - Dec 12, 2014.
What’s next for data scientists in 2015 - new areas they will focus on - cyber threats to fraud detection - and how the expectations for this profession will change.
- Interview: Daqing Zhao, Macys.com on Building Effective Data Models for Marketing - Dec 11, 2014.
We discuss the challenges in identifying the fair price of ad media, recommendations for building effective models for online marketing, unique challenges of Mobile channel, selection of Big Data tools, and more.
- 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.
- Data Scientist: Owning Up to the Title - Dec 5, 2014.
Regardless of how Data Science or Data Scientist is defined, if you are going to use the word "scientist" in your title, you are going to be held accountable for it.
- Top stories in November: 9 Must-Have Skills for a Data Scientist; IBM Watson Analytics replacing a data scientist? - Dec 4, 2014.
9 Must-Have Skills You Need to Become a Data Scientist; IBM Watson Analytics - Will it Replace Data Scientists ? Update: Top LinkedIn Groups for Big Data, Data Mining, Data Science; R and Hadoop make Machine Learning Possible for Everyone.
- Top stories for Nov 23-29: Update: Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science - Nov 30, 2014.
Update: Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science; 9 Must-Have Skills You Need to Become a Data Scientist; Cartoon: Thanksgiving, Big Data, and Turkey Data Science; Most Popular SlideShare Presentations on Data Science.
- Most Popular Slideshare Presentations on Data Science - Nov 25, 2014.
Top SlideShare data science presentations provide a unique view on topics like data science management, using Python and NumPy in your data science project, and leveraging data science for enterprise big data.
- KDnuggets 14:n31, Update: Top LinkedIn Groups for Analytics; Cartoon: Thanksgiving Data Science - Nov 25, 2014.
Update: Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science; Cartoon: Thanksgiving and Turkey Data Science; 9 Must-Have Skills You Need to Become a Data Scientist, and more.
- 9 Must-Have Skills You Need to Become a Data Scientist - Nov 22, 2014.
Burtch Works details the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.
- R and Hadoop make Machine Learning Possible for Everyone - Nov 16, 2014.
R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.
- Six Thinking Hats and the Life of a Data Scientist - Aug 8, 2014.
Learn about the different "hats" (mindsets) a data scientist should adopt to reach maximum effectiveness in the variety of situations encountered in this emerging field.
- Why analysts should master public speaking - Jul 27, 2014.
Learn how to advance your career and increase the adoption of your analysis by conveying your message more clearly using public speaking experience.
- Top stories for Jun 22-28 - Jun 29, 2014.
Does Deep Learning Have Deep Flaws? What is Text Analytics? Data Science Skills and Business Problems; CRN 50 Emerging Big Data Vendors.
- Data Science Skills and Business Problems - Jun 27, 2014.
Discover what skills a data scientist benefits from learning and how the concept of a data scientist, and what businesses expect of them, has developed over time.
- Interview: George Corugedo, CTO, RedPoint on Big Data Trends and Important Skills - May 13, 2014.
We discuss the key trends in Big Data industry, important skills for Data Science practioners and more.
- 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.