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DATA SCIENCE FROM SCRATCH: From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond
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About DATA SCIENCE FROM SCRATCH: From Data Visualization
You Are About To Build Your Knowledge Of Data Science To Perhaps Build A Career Out Of It Even If You Are A Complete Beginner!The most valuable resource is no longer oil and gold; data reigns supreme these days!And if data is the most valuable resource, perhaps the field of data science is the most critical of them all! It is so lucrative that the median entry level starting salary of a data scientist is $98,000!If you think I’m making this up, just think of the Cambridge Analytica story of how it was used in the 2016 Presidential elections in the US to influence people’s voting decisions! I’m not being political here; whether true or not, data was used and it, to some extent, was seen to be effective in influencing people!All that is the realm of data science! And it is not just Cambridge Analytica that uses data on a massive scale. Data is used to tell which ad suggestions show up when you are browsing on your favorite website, the kind of videos you see on YouTube for instance, the friend suggestions we see on Facebook, the stuff you see on your newsfeed, the emails that land in your spam folder, our credit rating, how much we pay for insurance, the products/movies that Amazon, Netflix and other online stores display to you and much more!For all these things to be possible, lots of data (an estimated 2.5 exabytes were being generated every single day in 2012, according to IBM) has to be collected, analyzed, interpreted and manipulated to serve a given purpose! Does all this sound like music to your ears? Would you want to understand the inner workings of key concepts of data science, including high performance computing, big data analysis, data infrastructure issues, machine learning, data mining, deep
