Data Science for Spreadsheet Users

In this webinar, DataCamp Account Executive Chris Cardillo will challenge anyone spending their days in and out of spreadsheets to pick up a coding language. He’ll cover the tangible benefits of incorporating coding into an everyday workflow, as well as examples of where coding enhances or replaces work done in spreadsheets. Finally, he’ll cover some R language equivalents for spreadsheet techniques, and where to get started when you’re ready to take the first step.
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Spotlight

OTHER ON-DEMAND WEBINARS

How to Become Citizen Data Scientist

alteryx.com

As organisations look to enrich their approach to advanced analytics, employees company-wide are filling the skills gap. These are todays citizen data scientists, dedicated to solving problems and building solutions with data, no matter what their background. For them to truly exceed, they need powerful, enabling technology and a framework to use it.
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Data Analytics and AI Fraud, Waste, & Abuse

Join Google Cloud, SpringML, and Carahsoft for a webinar as we explore a framework for combating fraud, waste, and abuse. It’s not enough to chase down fraud after it happens — our solution helps you proactively identify fraud, waste, and abuse before it infiltrates your system and doesn’t penalize legitimate claims.
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Data visualization in Looker Studio: Better dashboards with Supermetrics Charts

It’s not always about the numbers; it’s more about how you present them in an easily understandable way. Not everything can go into a pie chart, and not everything looks right in a line graph. That’s why it’s crucial to know the best principles of data visualization.
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How to Modernize Data Lake Technologies with Cloud-Based Solutions

tdwi.org

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
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