Data Science & Analytics

Data analytics for professional development.

man doing qualitative research

Data Analysis for Qualitative Research: 6 Step Guide

Data analysis for qualitative research is not intuitive. This is because qualitative data stands in opposition to traditional data analysis methodologies: while data analysis is concerned with quantities, qualitative data is by definition unquantified. But there is an easy, methodical approach that anyone can take use to get reliable results when performing data analysis for

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are data visualizations good or bad? good

Pros & Cons of Data Visualization: the Good, Bad, & Ugly

To understand the pros and cons of data visualization, you should first look at historical context: the data visualization discipline has grown in popularity as a communication tool since the mid-2000s, a time when private companies began collecting information at mass scale, and for good reason. Data visualization helps communicate complex relationships and ideas in

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content analysis

Qualitative Content Analysis: a Simple Guide with Examples

Content analysis is a type of qualitative research (as opposed to quantitative research) that focuses on analyzing content in various mediums, the most common of which is written words in documents. It’s a very common technique used in academia, especially for students working on theses and dissertations, but here we’re going to talk about how

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data dictionary

What is a data dictionary? A Simple & Thorough Overview

It may sound strange to have a dictionary for data since a dictionary is data, but these metadata repositories are an essential element to maintaining and communicating the structure of any underlying database. In short, a data dictionary describe a table’s columns based on common traits (i.e name, definition, data type) within another table. Admins

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