Getting your first client as a data science consultant is just like trying to get your first job with no experience. It feels borderline impossible and barely anyone will consider your services. Everyone wants experienced consultants with references, project examples, and case studies. But how are you supposed to get references and project examples without first working…
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Data science, is it about designing models and creating cool visualizations with D3? Not really. At least, it’s not your Goal. But don’t take our word for it. We recently found a great channel on youtube created by a Youtuber named Joma. Joma’s full name isJonathan Ma and he has worked at several big tech…
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Originally Posted Here Whether you are just breaking into data science, or you are looking to improve your data science skills. Books are one great method to get a base level understanding of specific topics. Now, we personally believe nothing beats experience, but in lieu of that, taking a course or reading a book is a…
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by Ben Rogojan Loading files into databases are not exactly exciting work. It can be tedious and boring work. Often times it is constrained by tools like SSIS that freak out when a small change is made. This is one of the core roles of BI and data engineering teams. They need to load files from…
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By Benjamin Rogojan Healthcare analytics is a multibillion-dollar industry. Having the ability to predict patient readmission, fraud, logistical needs, provider quality and so on provides healthcare providers with opportunities for cost savings and increased efficiency. Even being able to answer simple questions in healthcare with data can provide massive ROI. Our team has seen companies…
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After writing the brief piece about How Men’s Wearhouse Could Use Data Science. My team and I continued discussing how we would approach the problem of recommending products to customers for Men’s Wearhouse. We believe that if Men’s Wearhouse could move their in-store customer experience and fashion knowledge(which is great) online, then they would grow from…
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*Stationary, Auto-correlation, Differencing Accurately forecasting costs, sales, user growth, patient readmission, etc is an important step to providing directors actionable information. This can be difficult to model by hand or in Excel. In addition, using traditional methods like moving averages might not provide enough insight into the various trends and seasonality that occur in real…
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A common question among directors, managers and the C-suite is what are some examples of business cases using data science. Data science is a tool that can be used to help reduce costs, find new markets and make better decisions. However, without examples of how to use data science it can be hard to see…
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We wanted to follow up our previous piece about how to grow as a data scientist with some other skills senior data scientists should have. Our hope is to bridge the gap between business managers and technical data scientists by creating clear goals senior data scientists can aim for. Both entities have to take on…
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The role of a data scientist still varies from company to company and even team to team. This makes it much harder for companies to create a standardized growth plan for their data scientists. Without having a clear growth plan, there is a risk that these talented computer wizards will get stuck. They might provide…
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