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Online Training Crack Pandas and NumPy: Python Data Science Made Easy
This course was funded by a #1 Kickstarter projectLearn a skill that is not only highly requested by employers but also has a greater demand than supply. Python is the single best language to start learning to code in with an online course.Python is 100% readily available online. Simply install Python on your computer, open a text editor&get coding.This is the most practical course on Python youll find. You will make projects while you learn. Every piece of theory we explain with an example.Learn on free, open source software that is changing the worldWhether you have no Python programming experience or are an experienced developer who wants to learn specializations of pandas &NumPy, you should take this course.Youll get lifetime access to this course, which includes 70 lectures &hours of video.Why should I learn pandas?Pandas is the most important tool in data science. According to Datacrunch, millions of people around the world use Pandas. The world wouldn’t be the same without it.Pandas is used for a variety of tasks like data loading, renaming, grouping, statistics, mapping, aggregating &more.Why should I learn NumPy?NumPy is going to be your new best friend. Its optimizations make the already amazing Python language even more useful.What are you waiting for? Learn Python to advance your career. You can learn this new skill right now.Make games with PythonRead & write data to & from CSVRecognize analytical approaches to data, including: analyzing data, locating, making statistical descriptions & plots of dataResize & manipulate arraysPerform calculations, functions & statistics with NumPy& more!Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:Data Science & Analysis: Make DataFrames in Pandas & PythonLearn Python Data Analysis with Pandas and Make a Unity GameCreate Arrays in Python NumPy – Learn Scientific ComputingIncluded in this course you’ll also find a webinar by Mammoth Interactive founder John Bura.Testimonials”An easily understood course, withdetailed instruction& good explanation of the concepts involved in making this clone game.A very well done tutorial, especially forsomeone like me is just now learning how to write code.””I really like the approach the presenter takes not just the technical details, but also the veryhuman, personal development information & recommendationshe provides.””The instructor is very good at teaching. He teaches at agreat pace& covers anything a beginner would need to understand (every little detail).I am already learning a lot & I just started yesterday.”Enroll right now to join the Mammoth community
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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.