One of the most exciting parts about being a data scientist is the pace of advancements in the field. There are constantly new innovations. New algorithms. New techniques. New stories. It is a battle to stay up-to-date with all of the changes in the field, but always worth it. While those new innovations rarely apply immediately to my day-to-day work, they spark ideas and allow me to be a better data scientist in the long-run.

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AuthorInfo CompassRed

In 2019, there are a plethora of options when it comes to Business Intelligence (BI) platforms. There are many factors to consider when selecting the platform that will work best for you and your team, which can quickly become overwhelming. Luckily for you, we have gone through the trouble of evaluating three of the most popular products on the market: TableauMicrosoft Power BI, and Google Data Studio. We evaluated these products across five major feature categories: connecting to data, cleaning data, analyzing data, visualizing data, and sharing data. We also include an overall score at the bottom of this post if you would prefer skipping through the detail.

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AuthorInfo CompassRed

Any trip to your job board of choice will quickly tell you one thing: a lot of companies are hiring data scientists of all skill levels¹. There are a lot of common themes across these roles, which have been covered in plenty ofplaces. From a technical perspective, you’ll need skills in the most popular open source languages — R or Python and SQL at a minimum. If you have experience with a variety of big data toolsets and scripting languages you’re even better off. That’s to say nothing of the large variety of other technical skills a data scientist might need. From the soft skills perspective, every company wants data scientists to be story tellers and business experts.

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AuthorRyan Harrington

CompassRed is a Data Science and Analytics Lab. We bring really hard data problems inside our walls and try to find answers. Our analysts sit right next to our data scientists and we surround them with the most advanced technology to make it all work. While one is asking “What happened?”, the other is asking “What will happen?”.

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AuthorPatrick Callahan

Have you ever seen one of those fancy heat maps that tools like Hotjar and CrazyEgg can produce, but were hesitant to pull the trigger on a $70+ monthly fee? Well I may have a solution for you using the free version of Google Analytics. This tutorial will take you through everything you will need to do to create a stunning visual like the one below. Prerequisites for this tutorial include a basic understanding of Google Analytics, Google Tag Manager, and Data Studio. There is some custom javascript involved, but all you will need to know how to do it copy and paste code. Let’s get started!

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AuthorPatrick Callahan