Get yourself trained on Complete Guide to with this Online Training Complete Guide to Crack a Data Science Interview.
Online Training Complete Guide to Crack a Data Science Interview
Data Scientist is the sexiest job of the century and there are many reasons as high compensation, experiencing diverse domains, solving interesting real-life problems, and it is very unique.This complete guide will answer all your queries regarding careers in Data Science such as:1. Effective job search2. Key Factors to Succeed in the Interview3. Educational Requirements4. Creating an Outstanding Resume5. Why choose a career in Data Science6. Is Data Science for YOU?7. Essential Mathematics, Statistics, and Machine Learning8. Examples of technical questions9. Career Options in Data Science10. How to choose between R and Python?11. Level of expertise required in these toolsand so many other queries.
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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.