What is Data Science, how is it used?
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What is Data Science, how is it used?
Can I use data science to make a difference in my company (HECK YES)
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Data Science Tutorial - Data Science From Scratch PDF

Data Science Tutorial - Data Science From Scratch PDF | What is Data Science, how is it used? | Scoop.it
Data Science Tutorial covers data science from scratch - R programming, python for data science. Get Python Data Science handbook, practical in PDF & PPT
Carla Gentry CSPO's insight:
Solution to the problem should be logically solved by using mathematical skills and specific tools like R studio. Data science is a medium to analyze real-time data that enhance clarity and give the right solution to an enterprise.
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How To Survive Corporate Politics as A Data Scientist

How To Survive Corporate Politics as A Data Scientist | What is Data Science, how is it used? | Scoop.it
As data scientists we want to spend more of our time analyzing problems and less time dealing with corporate politics. How can we do that when there is often a rift between executives and their data science teams.
Carla Gentry CSPO's insight:
This can sometimes lead to a lack of trust, poor implementation and support of projects and thus, failed data science teams.
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» Five Ways to Select a High Value Predictive HR Project

» Five Ways to Select a High Value Predictive HR Project | What is Data Science, how is it used? | Scoop.it
We use predictive analytics to reduce employee attrition & increase performance for high volume roles like Call Centers, Insurance Agents, Sales Reps, Tellers, Sales Engineers, Personal Bankers and the like.
Carla Gentry CSPO's insight:
Greta Roberts, CEO Talent Analytics, Corp. 1. Identify a business problem to solve. Almost everyone working on modern predictive analytics discusses the need for a defined business problem before engaging in a predictive project. And yet, the #1 question I get in speaking with businesses is “I need to do a predictive project, bu
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Partnering with data to create insightful stories

Partnering with data to create insightful stories | What is Data Science, how is it used? | Scoop.it

One of the reasons for that is similar to the well-known phenomenon called mathematical anxiety, where people are afraid of maths as a result of past difficulties and traumas. Every one of us have interacted with data analyses (at work, newspapers or academic research) that were created by unskilful communicators, people that might be amazing statisticians but lack the ability to convey the stories behind the numbers. That creates anxiety and could prevent professionals from even trying to understand data.

Carla Gentry CSPO's insight:
Data is no longer "next year's big thing", we have gone through that many times over and almost everyone accepts data as a valuable team member. But not everyone can understand and make use of it optimally, which means lots of decisions are still made based on intuition - if you don't believe me, check PwC's Global Data and Analytics Survey 2016, it shows some interesting numbers on how often managers use data during the decision-making process. Data education is a crooked road and we have a long journey ahead of us.
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20 Cheat Sheets: Python, ML, Data Science, R, and More

20 Cheat Sheets: Python, ML, Data Science, R, and More | What is Data Science, how is it used? | Scoop.it
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, e…
Carla Gentry CSPO's insight:
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, and many more. To keep receiving these articles, sign up on DSC. Previous entries are listed below the picture.
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Data Science is real » You don’t know how to hire a REAL Data Scientist!

Data Science is real » You don’t know how to hire a REAL Data Scientist! | What is Data Science, how is it used? | Scoop.it
Carla Gentry CSPO's insight:
I was recently contacted by a recruiter concerning a Director of Analytics position at a Private University in my home state; they wanted to know if I could recommend someone for the position since I had a background in Education and Data Science
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Data Science is real » Honored to be a Women In Data

Data Science is real » Honored to be a Women In Data | What is Data Science, how is it used? | Scoop.it
Women in Data
Carla Gentry CSPO's insight:
So, for the 1st time in my life, I am a “cover girl” thanks to O’Reilly – I have received many congrats and “hat’s off” comments, to them I say “Thank You” :o)
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Three predictive modeling flaws that cripple data science projects

Three predictive modeling flaws that cripple data science projects | What is Data Science, how is it used? | Scoop.it
Before you kick off new data science projects, read about these three common pitfalls that can trip up data scientists.
Carla Gentry CSPO's insight:
Data science projects can provide immense business value by guiding companies toward increased revenue or improved operations, but can also be damaging if done wrong. (EXPERIENCE does matter!!!)
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Celebrating Women's Day: 33 Women in Data Science from around the World & AV Community

Celebrating Women's Day: 33 Women in Data Science from around the World & AV Community | What is Data Science, how is it used? | Scoop.it
This article features 33 women from data science, machine learning & analytics.Here we have women leaders from Google, Linkedin,MapR,Stanford
Carla Gentry CSPO's insight:
I am so honored to be included with such WONDERFUL women in tech #WIT
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Carla Gentry CSPO's curator insight, March 8, 2017 10:22 AM
WOW, what an HONOR! I am so thrilled to be mentioned with such terrific ladies in tech and science #STEM! 
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» 3 Parallels Between the Future of Retail and the Future of the Workforce

» 3 Parallels Between the Future of Retail and the Future of the Workforce | What is Data Science, how is it used? | Scoop.it
We use predictive analytics to reduce employee attrition & increase performance for high volume roles like Call Centers, Insurance Agents, Sales Reps, Tellers, Sales Engineers, Personal Bankers and the like.
Carla Gentry CSPO's insight:
I loved this recent article from the CEO of Walmart about his 3 Predictions for the Future of Retail. I saw so many parallels to the future to the workforce and the future of work – I wanted to share them.
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Using AI to reduce bias in hiring | Ifeoma Ajunwa, The University of the District of Columbia

Learn how you can use data and science to make work better at https://g.co/rework Ifeoma Ajunwa, assistant professor at The University of the District o
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Learn how you can use data and science to make work bette
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Talent Socio's curator insight, February 28, 2017 11:40 PM
Technology implications are going to be there in every space. Recruitment has immense potential for technology interventions.
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How Predictive Technology is Changing Advertising

How Predictive Technology is Changing Advertising | What is Data Science, how is it used? | Scoop.it
Advertisers have done everything they can to find out more about their audience so they can make their ads more effective. They have used online technology like cookies to try to predict what audience members will want, such as by looking at what other websites they have visited.
Carla Gentry CSPO's insight:
Advertisers have done everything they can to find out more about their audience so they can make their ads more effective. They have used online technology like cookies to try to predict what audience members will want, such as by looking at what other websites they have visited. Read more at http://www.business2community.com/marketing/predictive-technology-changing-advertising-01773066#3ZWFEBvFpxoUW7EP.99
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» Are All Predictive Talent Acquisition Platforms Created Equally?

» Are All Predictive Talent Acquisition Platforms Created Equally? | What is Data Science, how is it used? | Scoop.it
We use predictive analytics to reduce employee attrition & increase performance for high volume roles like Call Centers, Insurance Agents, Sales Reps, Tellers, Sales Engineers, Personal Bankers and the like.
Carla Gentry CSPO's insight:
Detailed predictions require a level of interaction with your company’s data (HR data plus Line of Business Data) to determine what attributes predict a top performer for your company vs. another company. These attributes can be very different company and by company.
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What statisticians think about data scientists - Data Science Central

What statisticians think about data scientists - Data Science Central | What is Data Science, how is it used? | Scoop.it
Interesting to read what some statisticians write about data science, on the American Statistical Association (ASA) blog. Most of us don't care about our job title - there are so many breeds of statisticians and data scientists after all - and they do overlap to some extent. While I was once a statistician, I now call myself data scientist or business scientist. Anyway, below are some extracts from very lively and interesting discussions taking place on the ASA blog.
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Demystify Data Science Conference - Carla Gentry

Carla Gentry CSPO's insight:
I'm just a data nerd giggle, great event!!!
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» Advisor 4.04

» Advisor 4.04 | What is Data Science, how is it used? | Scoop.it
We use predictive analytics to reduce employee attrition & increase performance for high volume roles like Call Centers, Insurance Agents, Sales Reps, Tellers, Sales Engineers, Personal Bankers and the like.
Carla Gentry CSPO's insight:
Who Uses Advisor™? Over 800 customers, in a myriad of industries use Advisor today. HR, recruiters and hiring managers use Advisor on a day to day basis for smarter hiring decisions. Analytics professionals upload their predictive models into Advisor – so workforce leaders can make use of their models. HRIS, HCM, ATS, PEOs and other workforce systems connect to Advisor’s predictions to enhance their value
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Data Science

DJ Patil, Former U.S. Data Scientist & Roxanne Varza, DIrector, Station F and Loic Le Meur, Founder & CEO, Leade.rs
Carla Gentry CSPO's insight:
Data Science - DJ Patil, Former U.S. Data Scientist https://youtu.be/fzGzKUsJB3U via @YouTube
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Data Science is real » Big Data needs Data Science but Data Science doesn’t need Big Data

Data Science is real » Big Data needs Data Science but Data Science doesn’t need Big Data | What is Data Science, how is it used? | Scoop.it
Carla Gentry CSPO's insight:
Data science has been around for decades, and it’s not just big data. I hear a lot of people clumping these two together like they go hand-in-hand, which I agree with to an extent. However, big data needs data science but data science doesn’t necessarily need big data.
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4 Women Leading the Way in Business Intelligence

4 Women Leading the Way in Business Intelligence | What is Data Science, how is it used? | Scoop.it
To find out what it takes to become a successful female executive within BI, we interviewed four female professionals at the top of the field. Here are their stories.
Carla Gentry CSPO's insight:
It’s no secret that there’s a disproportionately low number of women in STEM (science, technology, engineering, mathematics) fields.
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Data Science is real » Proud to be part of 25 Most Influential #WomenLeaders

Data Science is real » Proud to be part of 25 Most Influential #WomenLeaders | What is Data Science, how is it used? | Scoop.it
Carla Gentry CSPO's insight:
“The past two decades have seen a huge surge of women taking on key roles in the world of emerging technology. When we decided to put together this list, we were thrilled to discover dozens of outstanding candidates, and we have picked the top 25 female thought-leaders, champions, and innovators in the field.”
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Do Data Scientists Still Really Exist?

Do Data Scientists Still Really Exist? | What is Data Science, how is it used? | Scoop.it
It’s a question that’s asked a lot lately, and the truth is, data scientists not only exist -- one of them may become president someday. That is a bold sta
Carla Gentry CSPO's insight:
Well hell yes WE exist, what do you think I do all day, twittle my fingers lol
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DrDids's curator insight, March 17, 2017 8:10 AM
Looking at the stars from the Earth of vice versa? but where is the data gutter? Oscar  V-Wilde
 
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It Seems Like Anyone Can Be a Data Scientist... but Is It True?

It Seems Like Anyone Can Be a Data Scientist... but Is It True? | What is Data Science, how is it used? | Scoop.it

This leads me to believe that the real question here is, “Can anyone BE a data scientist?” And to that I would say no, not at all, for the very reasons I just mentioned. In my experience, not even your top CS or STEM majors from a top school can easily become good data scientists, without additional training in it, and some personal factors. Apart from its multidisciplinary nature, data science requires a deep love of the divergence between observed reality in data and the prediction of mathematical models. To do that, one needs something more than just a mastery of tools. One needs a love for imperfection.


Carla Gentry CSPO's insight:
But that brings me back, full circle, to the confusion surrounding one being able to “call” one’s self a data scientist, even if one doesn’t possess the entire toolkit, the experience and the love of imperfection and variability. As a budding profession, data science has a lot of work to do. We need a more standardised multidisciplinary curriculum, implemented by people with field and business experience (not just academics) and perhaps a professional body or two that can guard the gates.
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» What if HR Was Paid to Reduce Employee Turnover?

» What if HR Was Paid to Reduce Employee Turnover? | What is Data Science, how is it used? | Scoop.it
We use predictive analytics to reduce employee attrition & increase performance for high volume roles like Call Centers, Insurance Agents, Sales Reps, Tellers, Sales Engineers, Personal Bankers and the like.
Carla Gentry CSPO's insight:
What if this changed? What if HR was paid not only to hire quickly but to also be responsible for reducing turnover in roles that have a lot of volume? What would need to change to make this happen? How would this affect day to day operations?
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The one critical skill many data scientists are missing

The one critical skill many data scientists are missing | What is Data Science, how is it used? | Scoop.it
Data science is a new career for the age of Big Data (whatever that means this week), but you can see that it’s at the intersection of qualities many people have been developing for years. As a graduate of the Science to Data Science (S2DS) summer school, I know people who have come to data science from a wide variety of backgrounds and found a new niche for themselves.
Carla Gentry CSPO's insight:
When I started to learn about data science and consider it as a career choice, there was a diagram that I came across regularly and still come across today, in articles and even text books aimed at introducing and educating the world about the “sexiest job of the 21st century.” First created by Drew Conway, it illustrates the three broad skill groups you need to be a data scientist.
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Employee Life Time Value and Cost Modeling - Predictive Analytics Times - predictive analytics & data science news

Employee Life Time Value and Cost Modeling - Predictive Analytics Times - predictive analytics & data science news | What is Data Science, how is it used? | Scoop.it
Understanding the Most Expensive Asset Practically every business shares the same biggest cost – employees. This makes sense – even in this age of robots and computers, human talent is behind everything that a company does. People are the source of innovation, growth, and competitive edge for every company. Given this importance, it’s a bit …
Carla Gentry CSPO's insight:
We address employee cost, performance, attrition and lifetime value to bring the practice of Human Resources into the information age. Only with these metrics will the actual value and dynamics of our "Human Resources" be known.
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