This data science bootcamp is on sale for 97% off

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TL;DR: The Dynamic Data Scientist Bundle is on sale for £21.21 as of May 23, saving you 97% on list price. "Data science" seems to the buzzy term these days. While it sounds super fancy, when you really break it down, it's just the ability to wrangle big data, analyse it, and turn it into actionable insights. These insights are used for anything from detecting fraud and determining credit worthiness to forecasting sales and recommending which Netflix film to watch next. And according to a report by LinkedIn, the data science field itself is not only driving emerging job growth, but the skills required are also highly in demand across every industry. In that same LinkedIn report, they also noted that online learning is seeing massive growth and is here to stay. So, how appropriate is it that this Dynamic Data Scientist Bundle dabbles in both the booming data science field and focuses on online learning?  With seven courses and 33 hours of instruction, this training will give you a structured overview of data science tools and concepts that you can work through at your own pace. You'll learn how to process data and apply machine learning using MATLAB, plot and visualise all your data using Python, master and code a multitude of data structures, and use Microsoft Power Business Intelligence to view and share insights into your business like never before. You'll have unlimited lifetime access to each course, so no worries if you don't get the gist of it after the first go-around. The whole point of the SkillSuccess online learning hub is to help you learn new stuff on your own time and at your own pace. And with something as dynamic as data science, you're going to want to take your time. This training is worth over £985, but you can save lots of money and get it on sale for just £21.21. Whether it helps you launch a new career or not, you'll still walk away with vital knowledge that'll look great on your CV. And maybe you'll finally understand how Netflix recs work, too.