If you’re interested in working in the field of data or looking to advance in the field, you need a foundational knowledge of several key areas of data science. Not only that, you need to be able to demonstrate that knowledge. In this four-part, hands-on series, Ben Sullins shows how to build four distinct data science projects using SQL, Tableau, Python, and Spark. In this first installment, Ben uses SQL to analyze employee data, which is notoriously difficult to analyze given its structure. He breaks down the specific structure of employee data, and the best way to track this kind of information, then covers how you can start answering specific questions utilizing SQL. Finally, he gives advice on how to present your data, considering both your audience and the visuals you use, in order to convey your knowledge of the subject.
Note: This course was created by Free the Data Academy. We are pleased to host this training in our library.
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- Ben Sullins Host Free the Data Podcast // Electric Vehicle Reviewer
As a lifelong data geek, Ben Sullins dedicates his time to helping others use data wisely.
Ben makes information meaningful and has fun doing it. His background affords him a unique set of knowledge that sets him apart in the data community. Since the late 1990s, he has consulted many high-tech companies, including Facebook, Microsoft, LinkedIn, Cisco, Mozilla, Pluralsight, and Genentech, on democratizing data in their organizations. Moreover, Ben spent three months leading the charge at Facebook to grow its data culture by demonstrating proper tool implementation and data visualization techniques using Tableau. And with this expertise, Ben aims to provide exceptional service to his customers by enriching their lives with impactful smart data.
- Free the Data Academy
Free the Data Academy is an online training provider founded by Ben Sullins.
With a focus on providing relevant, concise, and high-quality data analytics training content, the authors and presenters at Free the Data Academy offer courses on topics like data analytics, Tableau, SQL, Excel, Power BI, presentation design, storytelling with data, and data literacy.