Hiring Top Tech Talent

Hiring top tech talent is hard, especially when these people are in high demand. So how can you build your tech team? HR and hiring experts Laura and Theo talk about their process.   Laura Ianuly: I think the most important thing, the best advice I could give a hiring manager is making sure that they understand what they’re looking for. They’ve defined it, and they understand it. Secondly, being certain that

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Making Data Assets Profitable with VDC

Many companies are sitting on data assets that could be revenue streams for them, without knowing it. Matt Staudt of VDC discusses making latent data profitable. Ginette: I’m Ginette, Curtis: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data Crunch is produced by the Data Crunch Corporation, an analytics, training, and consulting company. Ginette: Today,

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Machine Learning with Max Sklar

What does it look like to shape a social media platform? Max Sklar can speak to that having worked on machine learning at one for nearly its entire existence. In today’s episode, he talks about what’s worked and what hasn’t at Foursquare.  Max Sklar: So Foursquare’s a very positive platform, but the Japanese language is off the charts. You have 97% positive tips. Whereas the Russian language has the lowest; it’s

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Tableau Distribution: Heatmaps, Histograms, Ranges

Distribution in Tableau In the business world, you’ll hear averages get referenced all the time. “What’s the average number of admissions per day?” or “What’s the average profit per month?” or “How are we trending compared to our average?” Those are all fine – even vital – things to know. But they obscure insights hidden in the data. It assumes that everyone behaves just like the norm. And often the

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Using Tableau Measure Names and Measure Values to Build Data Tables

The Data pane contains a few fields that are not part of your data, two of which are Tableau Measure Names and Tableau Measure Values. The Measure Values field always appears at the bottom of the Tableau Measures area of the Data pane and contains all the measures of your data collected into one field. The Tableau Measure Names field always appears at the bottom of the Dimensions area of the Data pane

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Think Differently with Graph Databases

Curious about graph databases? Matthias Broecheler from DataStax talks with us about looking at the world through a graph lens and using it to solve real world problems. Ginette: I’m Ginette, Curtis: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data crunch is produced by the Data Crunch Corporation, an analytics training and consulting

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Data, Epidemiology, and Public Health

With recent events being what they are, epidemiology has come into the spotlight. What do epidemiologists do and how does data shape their everyday experience? Sitara and Mee-a from “Donuts and Data” fill us in.     Ginette: I’m Ginette, Curtis: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data crunch is produced by the

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Dual Axis Tableau Maps: Tutorial and How-To – Data Crunch

What is a Dual Axis Filled Map in Tableau? A dual axis filled map allows us to plot two maps or graphs on top of each other and encode values on both of them, but it shows up looking like one map.  Why is a Dual Axis Filled Map in Tableau Useful:   A dual axis filled map provides us with additional context to our visualization that we would not see if

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How to Tell a Story with Data and Analytics in Tableau

After all your effort in learning how to analyze data and present it effectively in charts and dashboards, we are going to evolve our thinking even further by learning how to tell a story with data and analytics. Chip and Dan Heath in their classic book Made to Stick, said: “Statistics are rarely meaningful in and of themselves. Statistics will, and should, almost always be used to illustrate a relationship. It’s

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How to Become a Data Analyst Today with No Experience

We’ve all been there! Dreaming about becoming a Data Analyst, but our lack of experience in the field triggers our anxiety and worries, hence lowering our confidence in ace-ing that job. Fortunately for you, we are here to share never-before-exposed insights on How to Become a Data Analyst with No Experience. 1. Fully Understand Your Role as a Data Analyst and Consultant Everybody wishes to have a road map or

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