Get yourself trained on A Beginner’s Guide with this Online Training A Beginner’s Guide to Data, by The San Francisco Data School.
Online Training A Beginner’s Guide to Data, by The San Francisco Data School
The inspiration for building this course is right in the title it’s the Analytics Context We Wish We Had, When We First Started.This course starts with an introduction to the world of data. Context is critical, and it most definitely applies to learning how to work with data. Before even touching a data tool, amongst manyother things, we believe it’s vital that one fully understands the context surrounding data.From there you’ll delve deep in to the differences between Data Analytics, Data Science, and Data Engineering, and how each of these roles provide value in their own way. In addition, you’ll gather a deep understanding of the tools used by professionals which are the most popular, when one would be preferred over another, and how they can be used in collaboration.Next, you’ll learn about the technical processes that encompass the lineage of data. This section will enable you to internalize the concept of a Data Pipeline, and start building-up a lexicon and literacy for how data moves from collection to analysis.Finally, you’ll see a step-by-step learning roadmap to become a practitionerof Data Analytics. In this section you’ll gain access to recommended steps to take after this course, and career paths that are most relevant.One of the biggest challenges in getting started with data is finding the right place to start, we believe this is it. You are 90 minutes away from truly understanding the world of data a perspective we’ve built over a decade of experience.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.