WholeStory

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Common Mistakes Executives Make With Data

Data is a human invention. Humans define the phenomenon that they want to measure, design systems to collect data about it, clean and pre-process it …

UX Design

Big Companies Are Embracing Analytics, But Most Still Don’t Have a Data-Driven Culture

For six consecutive years NewVantage Partners has conducted an annual survey on how executives in large corporations view data. Each year the response rate increases, and the reported urgency of making effective use of data increases as well. This year the results are both more encouraging and more …

Data Warehousing

A beginner’s guide to investigative data journalism

This is an introductory guide on how to produce the beginnings of a piece of data journalism. We’re going to walk through it together, as I outline the key things to consider before starting. We’ll cover:<p>how to structure your work<br>• a basic process to follow<br>• a real-world case study to show how this …

Data Visualization

Choose the Best Method for Dealing with Your Data

How to Analyze Qualitative Market Research Data<p>Determine Which Data Analysis Option Fits Your Research Purpose<p>Updated October 22, 2017<p>Once …

Data Science

A Collection of 10 Data Visualizations You Must See

Introduction<p>Writing codes is fun. Creating models with them is even more intriguing. But things start getting tricky when it comes to presenting our …

Data Visualization

So, You Want to Become a Data Visualization Expert?

With businesses producing mountains of data daily, finding ways to visualize it properly is a major factor in creating actionable insights. However, …

Data Visualization

9 Powerful MS Excel Features That You May Not Be Aware Of

Do you use Excel often for work? These 9 tricks should help make your life a little bit easier…<p><i>The following is a guest post by</i> <i>Steven Correy</i><i>. Steven</i> …

Analytics

Sentiment Analysis and Topic Detection in R using Microsoft Cognitive Services

(This article was first published on <b>Phil Ferriere's OSS Work</b>, and kindly contributed to R-bloggers)<p>In our previous post, we covered {mscsweblm4r}, a …

Natural Language Processing

How to Structure a Data Science Team: Key Models and Roles to Consider

How to develop a data science team? We recommend three team structures that match stages of machine learning adoption.

Data Science

Which is better for data analysis: R or Python? Is R still a better data analysis language than Python? Has anyone else used Python with Pandas, to a large extent, in data analysis projects?

For most data analysis projects, your goal is going to be to create the highest quality analysis in the least amount of time.<p>If you understand the …

25 Data Analytics Vendors at the Forefront in 2018

Businesses are updating their approaches to data analytics as the competitive landscape changes. We explore the trends, technologies, and vendors …

Why I'm Learning Python in 2018

We might be tempted to say that Python “had a moment” in 2017. After all, the recent growth of the language has been hard to ignore.<p><i>Image via Stack</i> …

How to Collect and Transform Data into Value for Your Business

The Age of Data is here and it’s more important than ever to take data into account when managing your business. There’s more data available around …

Big Data

Google Has Made It Simple For Anyone To Tap Into Its Image Recognition AI

Google released a new AI tool today designed to let anyone train its machine learning systems on a photo dataset of their choosing. The software is …

Here’s What Aspiring Data Scientists Are Looking for in Future Employers

“Data scientist” is currently one of the most sought-after positions in the United States.<p>Companies in nearly every industry have come to understand …