“The main value a good data analytics professional adds is not the ability to crunch numbers. It is to distill and formulate a meaningful question, and devise a method to answer it.”–Igor Arkhipov(Udemy Instructor & Endorsed Education Provider™ by IIBA®) The old adage, “knowledge i...
What is Data Analytics? Data analytics is the use of tools and processes to combine and examine datasets to identify patterns and develop actionable insights. The goal of analyzing data is to answer specific questions, discover new insights, and help you make better, data-driven decisions. Why ...
The terms data analytics and data analysis are often used interchangeably. What most people don’t know, data analysis is asubcategoryof data analytics focusing on examining cleaning visualizing, and modeling datasets. Its aim is tocircle out important informationin raw data and use this insight t...
Data visualization is also a powerfulstorytelling tool.Visual data storytelling helps to uncover hidden patterns, relationships, and correlations that may not be apparent, or not visible in raw data. Through visualizations, data can be presented in a way that is engaging, impactful, and memorable,...
, and the same also applies to data visualizations. The reason is that it takes less than half a second for the eye and the brain to grasp what is called the pre-attentive visual properties of an image—the color, form, spatial positioning and movement that makes up a data visualization....
Data visualization, cloud computing, natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) all provide the infrastructure, tools, and frameworks needed for all analytics. Let’s dig into each one a bit deeper. Data visualization Data visualization is a visual ...
with little assistance from humans. These techniques span the gamut of data modeling and statistical analysis, from simple scripts to sophisticated tools. For example, to support business choices, a cybersecurity organization might automate data collecting, web activity analysis and visualization. ...
Analytics and BI platforms are developing data science capabilities and new platforms are emerging to deliver specific functionality for key activities, such as data visualization or D&A governance. Cloud service providers are creating yet another form of complexity as they increasingly dominate the infras...
Data analytics is the business of deriving meaningful insights in the form of patterns, relationships, and trends, from diverse data sets. It involves the application of both quantitative and qualitative methodologies. Data analytics softwareenables collecting, cleansing, storing, analyzing, and reporting...
Insights from the Past: Descriptive Analytics Descriptive analytics focuses on interpreting past performance using historical data. It uses statistical analysis and data visualization. This helps businesses understand their successes or failures. By creating data dashboards, it groups past business metrics....