A number of times last year I was asked “What do you think is the most important skill in data science?” I always replied “SQL”. Although this response was always met with a nod of agreement, I was often told that wasn’t the typical response. Understandable, the Python vs. R debate is apparently more sexy. But on day 1 of your first data job they’re going to introduce you to their data warehouse. This is the data you’ll utilize to analyze data, by writing SQL queries.

Companies love to exclaim “we’re data driven”. There are obvious benefits to being a data driven organization, and everyone nowadays has more data than they can shake a stick at. But what exactly does an organization need to be “data driven”?

If you’re new to the field of Data Science, I wanted to offer some tips on how to transition from presentations you gave in academia to creating effective presentations for industry.

I often see similar questions in my inbox or asked in webinars. I’d like to set the record straight with data. However, I didn’t need to start from scratch, there was an excellent article on KD Nuggets by Jeff Hale. Here is the link to his article: “The Most in Demand Skills for Data Scientists”. He had already scoured multiple job search site and aggregated data on the demand for different skills for data scientist. I recreated some of his analysis myself, so that I could come up with some points for this article, and to make sure his numbers matched mine before posting. The charts I created below are based on data from searches on indeed.com only.

Setting up your hypothesis test for success as a data scientist is critical. I want to go deep with you on exactly how I work with stakeholders ahead of launching a test. This step is crucial to make sure that once a test is done running, we’ll actually be able to analyze it. This includes:

I’ve spent the last 6 years of my life heavily involved in A/B testing, and other testing methodologies. Whether it was the performance of an email campaign to drive health outcomes, product changes, Website changes, the example list goes on. A few of these tests have been full factorial MVT tests (my favorite).