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GEPHI – Introduction to Network Analysis and Visualization

GEPHI – Introduction to Network Analysis and Visualization | HR Analytics | Scoop.it

Network Analysis and visualization appears to be an interesting tool to give the researcher the ability to see its data from a new angle.

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The difference between R and Excel

The difference between R and Excel | HR Analytics | Scoop.it
Why learning new things is hard, plus four fundamental differences between Excel and R
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Travis Bradberry on Forbes shares: Eight Bad Habits You Must Break To Be More Productive 

Travis Bradberry on Forbes shares: Eight Bad Habits You Must Break To Be More Productive  | HR Analytics | Scoop.it
When it comes to productivity, the little things make all the difference. Quit sabotaging yourself with these bad habits.
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It's All Connected: Unearthing The Potential in Hidden Collaborative Networks

It's All Connected: Unearthing The Potential in Hidden Collaborative Networks | HR Analytics | Scoop.it
Organizational Network Analysis (ONA) is a powerful analytics tool that shows the business benefits of investing in the social capital and networks of employees. John Boudreau, professor at the USC Marshall School of Business and Rob Cross, the Edward A. Madden Professor of Global Leadership at Babson College
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19 Inspiring Women Blazing a Trail in the Data Science World

19 Inspiring Women Blazing a Trail in the Data Science World | HR Analytics | Scoop.it
This article features women working in the data science field. From Airbnb to Stanford, we celebrate women changing the landscape of data science!
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Educating Clients on the Importance of Trust

Educating Clients on the Importance of Trust | HR Analytics | Scoop.it
In our second issue featuring Paul Jarvis, we dig into the importance of building trust with your clients and subscribers.
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How To Learn R, Part 1: Learn From A Master Data Scientist's Code

How To Learn R, Part 1: Learn From A Master Data Scientist's Code | HR Analytics | Scoop.it
The R programming language is a powerful tool used in data science for business (DS4B), but R can be unnecessarily challenging to learn. We believe you can learn R quickly by taking an 80/20 approach to learning the most in-demand functions and packages. In this article, we seek to ultimately understand what techniques are most critical to a beginners success through analyzing a master data scientist’s code base. Half of this article covers the web scraping procedure (using rvest and purrr) we used to collect our data (if new to R, you can skip this). The second half covers the insights gained from analyzing a master’s code base. In the next article in our series, we’ll develop a strategic learning plan built on our knowledge of the master. Last, there’s a bonus at the end of the article that shows how you can analyze your own code base using the new fs package. Enjoy.

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Getting started with stringr for textual analysis in R

Getting started with stringr for textual analysis in R | HR Analytics | Scoop.it
Manipulating characters – a.k.a. non-numerical data – is an essential skill for anyone looking to visualize or analyze text data. This tutorial will go over a few of the base R functions for manipulating strings in R, and …
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A Beginner’s Guide to Data Engineering — Part I – Robert Chang –

The more experienced I become as a data scientist, the more convinced I am that data engineering is one of the most critical and foundational skills in any data scientist’s toolkit. I find this to be…
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Do tweeps with more followers follow tweeps with more followers?

Do tweeps with more followers follow tweeps with more followers? | HR Analytics | Scoop.it
I investigate a question about the Twitter network, and find that generally (until reaching a level of fame few of us aspire to), having more followers oneself is associated with following people who have less followers, not more.
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Streetnames: Streetscapes – Mozart, Marx and a Dictator | 

Streetnames: Streetscapes – Mozart, Marx and a Dictator |  | HR Analytics | Scoop.it
Street names reveal our past. Romans, the kaisers, socialists: All of them left behind traces of their presence. Hidden patterns in the 450,000 German street names.
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The Psychology of People Analytics

The Psychology of People Analytics | HR Analytics | Scoop.it
The attention to people analytics has increased enormously over the last few years. It is time to have a closer look at the psychology of people analytics.
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An executive’s guide to AI | McKinsey & Company

An executive’s guide to AI | McKinsey & Company | HR Analytics | Scoop.it
To stay at the forefront of the accelerating artificial-intelligence race, business executives can study up on the ABCs of AI using this interactive.
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Predicting Glassdoor scores with engagement data

Predicting Glassdoor scores with engagement data | HR Analytics | Scoop.it
What can internal employee engagement data tell you about how your company is viewed externally? Our Chief Scientist explains the correlation between employee survey data and Glassdoor ratings and how you can use that knowledge to make a difference.

Via David Green
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How machine learning drives big business benefits - TechGenix

How machine learning drives big business benefits - TechGenix | HR Analytics | Scoop.it
With the emergence of business computing utilizing the Internet and the cloud, machine learning is poised to drive business benefits on a large scale.
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Step-by-step guide: How to write, publish and promote job ads? –

Step-by-step guide: How to write, publish and promote job ads? – | HR Analytics | Scoop.it
How to write a great job ad? Where should you publish it and how to promote it to attract the best candidates? Find out in this easy to follow, step-by-step guide! What is a job ad? A job ad is an advertisement for an open job position. The purpose of a job ad is to…
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Another Game of Thrones network analysis - this time with tidygraph and ggraph

Another Game of Thrones network analysis - this time with tidygraph and ggraph | HR Analytics | Scoop.it
A while back, I did an analysis of the family network of major characters from the A Song of Ice and Fire books and the Game of Thrones TV show. In that analysis I found out that House Stark (specifically Ned and Sansa) and House Lannister (especially Tyrion) are the most important family connections in Game of Thrones; they also connect many of the story lines and are central parts of the narrative.
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Six Sigma For Strategic HR Management –

Six Sigma For Strategic HR Management – | HR Analytics | Scoop.it
Authors - Raja Sengupta & Amol Pawar Six Sigma – A Short Intro Data science has touched every aspect of business function today, enabling greater speed, accuracy and improved quality of business decision making and as an inherent part of core business operations, “people function” hasn’t been immune to this development. The best data science practices are…
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Flexdashboard in R – What, Why and How?

Flexdashboard in R – What, Why and How? | HR Analytics | Scoop.it
Flexdashboard enables R-only Data Scientists deploy interactive visualizations, just like a Javascript-wizard would do. The biggest problem with I-am-an-R-coder Data Scientists is the big wall they hit when it comes
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Effective data analytics in Manufacturing | Mango Solutions

Mango Business Solutions Ltd provide complex analysis solutions, consulting, training, and application development for some of the largest companies in the world. Founded and based in UK in 2002, the company offers a number of bespoke products for data analysis including validation of open-source software for regulated industries.
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Web Scraping Matrimonial Website with R

Web Scraping Matrimonial Website with R | HR Analytics | Scoop.it
In this tutorial, we will cover how to extract information from a matrimonial website using R.  We will do web scraping which is
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Text Processing in R

This tutorial goes over some basic concepts and commands for text processing in R. R is not the only way to process text, nor is it really the best way.
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3% Decide If Your Change Will Make or Break

3% Decide If Your Change Will Make or Break | HR Analytics | Scoop.it
Did you know that 3% of your employees hold the power to decide, if any of your organizational changes will make or break? If you do not get them onboard with your change, you might as well bury the change.
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From chatbots to measuring the lifetime value of employees: AI is rapidly augmenting HR

From chatbots to measuring the lifetime value of employees: AI is rapidly augmenting HR | HR Analytics | Scoop.it
The robots are coming, and they want to improve your HR processes. How will artificial intelligence affect the critical areas of recruitment, employee engagement and talent management?
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