Remove 2014 Remove Data Analytics Remove Data Visualization
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Transforming Business Analysis With Big Data: A Decision-Maker’s Guide

Analysts Corner

Key components of Big Data analytics [own elaboration] Big Data analytics refers to advanced techniques used to analyze massive, diverse, and complex data sets. At its core, Big Data Analytics seeks to uncover patterns, correlations, and trends that traditional methods mightmiss.

Big Data 130
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Fulbright Award Winner Closes Data Skills Gap for Students and Teachers

Tableau

Danika Harrod October 22, 2024 - 5:46pm Larissa Amoroso Vice President, Tableau Community, Tableau Tableau Academic Ambassador Dr. Mary Dunaway has spent years empowering students and educators with skills such as data visualization. There’s so much to know about Tableau and data analytics that you can’t cover everything in one course.

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Exploratory Data Analysis using Data Visualization Techniques!

The BAWorld

For instance, This example shows the maximum wind speed of different hurricanes with their names that occurred in 2014. Hence, This indicates that this was the strongest hurricanes in 2014; Edouard has the maximum spread of data points in Q3, Bertha has some outliers which need to be investigated.

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Exploratory Data Analysis using Data Visualization Techniques!

The BAWorld

This example shows the maximum wind speed of different hurricanes with their names that occurred in 2014. This indicates that this was the strongest hurricanes in 2014; Edouard has the maximum spread of data points in Q3, Bertha has some outliers which need to be investigated. Correlation Plots (Heat Maps).

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Fact: IBM built the world’s first data warehouse in the 1980’s. 2014: Satya Nadella, who is influential behind Microsoft’s cloud market ventures, becomes the CEO of Microsoft. Microsoft also releases Power BI, a data visualization and business intelligence tool. He puts forth a mobile-first, cloud-first strategy.

IBM cost 130
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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

This is infused analytics at work: Wearable devices deliver data and insights directly to the coaches, enabling them to make decisions and transform teams’ performance without technical data expertise. These developments have added a whole new dimension to data analysis.

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What Is A Bar Chart And What Are The Types Of Bar Chart?

The BAWorld

Ordinal data variables have a natural ordering, but the distance between the categories is not known like education level, your mood (Very happy, happy, bored, sad, very sad), grades received (70 and above, 60 -70, 50- 60, 40-50, below 40) and so on. Types of Bar Charts. We can also filter the category that we want to analyze.