Einstein Analytics has been an area where I was very reluctant to tread. I don’t have a computer science background and I never took a data science class or studied statistical analysis. I did have to takes one math class while earning my Bachelors of Music Performance and the class I took was “Math for the Everyday World”. Hearing all of that you might be surprised that I've made it this far in the tech world. But I'm also really stubborn...which tends to come in handy in my learning process. So while it took me a bit longer than I had hoped to become Einstein Analytics proficient, I’m so glad that I persisted. More than a year ago, a few of my team members and I went through several introductory training classes to try to "learn Einstein". Unfortunately, our main take away was that the interface was very foreign and that Einstein Analytics was much more complex than we had expected. I knew that we didn't have the skill set to leverage Einstein at that point, but it went on my list as something I wanted to learn in the not too distant future. And thanks to Trailhead and a number of excellent community resources I passed the Einstein Analytics and Discovery Consultant exam last month. About the ExamHere are the subject areas that are covered on the exam. Do not skip over this part! Knowing how the different sections are weighted and the specifics of what you need to study in each subject area is the most important step in preparing for this type of exam. The full exam guide can be found here.
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AuthorSusannah Kate St-Germain is a 20x certified Colombian-American Salesforce nerd, travel fanatic, and aspiring Certified Technical Architect. Archives
May 2020
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