Get yourself trained on R and R with this Online Training R and R Studio 2019 Edition.
Online Training R and R Studio 2019 Edition
R LanguageA Silicon Valley Language2016 The journey of analytics started with SAS and R language. They were the top 2 statistical computing tools with 80% of the market share until in 2017 R language being free and open source data analysis software for innovative and important work in science, education and industry took the lead in statistical computing. The R language is designed for analysts, data scientist, research & development programs and for all skill levels so one can concentrate more on analysis rather than coding. Hence we have also designed this course for all skill levels even if one have no programming or statistical background. In summary the training is packed with real life analytics challenges which you will learn to solve using R language.Why data analytics with R is so important? Twitter Since 2013, the number of posts increased 25% to more than 350,000 tweets per minute. YouTube usage has more than tripled in the last two years with user uploading 400 hours of new video each minute of every day. Instagram users like 2.5 million posts every minute! Google Around 4 million Google searches are conducted worldwide each minute of everyday. Finally, data send and received by mobile internet users 1500 000TB. So, with the above examples of how much data gets generated, now how much hidden insights and patterns for accurate future predictions that we can actually achieve by using data science.According to Forbes, annual demand for Data Scientist jobs for United States itself will increase by 364 million by 2020.The average salary for a Data Scientist is $113,436.What are the career progression path for R professionals? Data Scientist: with a vast knowledge of Data Science, with Machine Learning and Business Intelligence tools. Data Scientist stands high as the Everest. Data Analyst: in 2019, the world will generate data 50times more than now and with each day passes by the data generated is infinity and with that to analyze those data, data analyst jobs will never have to see the face of recession. In linkedin itself there are average 400 new jobs for every 12 hour. Data Science / Machine Learning / Predictive Modeling Trainer: in this present date with a lack of the knowledge of these advance data science techniques gives a vast opportunity to become the fountain of data science for others. Business analyst: with the role of defining and managing the business requirements, business analyst takes the lead in every business decision making process of organization.This course features on:Silicon Valley Language: Learn and master the essentials of statistical computing and machine learning with world’s leading R programming language.Leap from coding to analysis: The course covers 45 lessons on how to perform statistical computing and machine learning with high speed of computing and less time on coding.Real World Case Studies: Packed with real life analytical challenges for hands-on experience for each machine learning and statistical computing on how to solve real world problems.
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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.