Get yourself trained on How to become with this Online Training How to become Successful Data Scientist – Mentor approach.
Online Training How to become Successful Data Scientist – Mentor approach
You hear a lot about data, big data, data mining, machine learning, and predictive modelling. Sometimes it might be overwhelming. You might have finished university, started a job, completed online technical course, downloaded some software but dont know how to get the data scientist job and if you are already in junior data analyst or data analyst role, how to get that promotion. How to write cv, prepare for an interview?Do you want to be successful data scientist? Do you need a mentor to show you step-by-step real life events on how to become best data scientist but dont know how and where to start? This video series is for you.If you have ever wondered what exactly Data scientists do in their day to day working life? This animated video series will take you in the day to day life of data scientist to show you what exactly happens behind those glass doors. This video series is also aimed for analytics professional who has responsibilities to recruit and train junior data analyst. It will give you an idea on how to plan the training. This animated video series is fun way to learn, understand, prepare to become successful data scientist. Topics Covered : 1. Introduction and Induction to the Company.2. What is Data mining Coffee chat3. Companys Data mining approach 4. What is Virtuous Cycle of Data mining5. Understand Business objectives and what is our role6. Customer Life Cycle Role of Data mining7. How Multi-channel Data gets generated 8. Data Warehousing at Large organisation9. What is Single Customer View (SCV)10. Identify and Understand Business requirements
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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.