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Discover how to sort, analyze, and interpret big data in just 54 hours

October 21, 2021
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Deal pricing and availability subject to change after time of publication.

TL;DR: The Complete 2022 Big Data Analysis Bundle is only $75 as of Oct. 21.


Companies are constantly extracting data from you anytime you log onto the internet. That’s how apps like Netflix are able to offer an assortment of suggestions for what you should watch next. Or how you get targeted ads on social media. Hate it or love it, big data gives companies valuable insights on how their customers buy, how to predict market trends and future needs, how to grow, how to optimize operations, and so much more. But big data is only one piece of the puzzle. The other? Someone who knows how to analyze it.

From data scientists to business analysts, those who know how to sort, analyze, and interpret big data are highly in demand. They’re also paid the big bucks. If that sounds like something you’d be interested in, this Complete 2022 Big Data Analysis Bundle is the ultimate crash course. It’s packed with 54 hours of beginner-friendly video tutorials on Python, Power BI, Excel, and more — all the tools you’ll need to analyze and visualize data.

The courses come from StreamSkill, an IT education platform that has helped over 600,000 students in the past decade, earning an average of 4.5 out of 5 stars. They’ll help open the door to your next career path.

You’ll learn to code in Python and R — the two most popular programming languages for data scientists. Plus, you’ll dive deep below the surface in Microsoft Excel and discover all the software is capable of. As it turns out, it’s a whole lot more than simple spreadsheet software. It can be used to visualize and interpret data with Power Query, Pivot Tables, and Pivot Charts. The training also looks at Microsoft Power BI, Alteryx, and Qlik Sense, three other powerful tools for visualizing and interpreting data.

Ready to get started? This nine-course training is on sale for just $75 ($944 value), or about $8 per course.

Credit: StreamSkill

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