Get yourself trained on Pandas & Seaborn with this Online Training Pandas & Seaborn Data Science and Visualization Masterclass.
Online Training Pandas & Seaborn Data Science and Visualization Masterclass
Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers’ one of the most requested skills of 21st Century! An expert level Data Science can earn minimum $100000 (that’s five zeros after 1) in today’s economy.This is themost comprehensive, yet straight-forward course for the Data Science with Python 3 on Udemy!Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Seaborn and Pandas with Python 3, this course is for you! In this course we willteach you Data Science with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Seaborn.(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)Withover 40 lecturesand more than 11 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Seaborn!This course will teach you Data Science in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Seaborn installed on your Windows computer and Raspberry Pi.We cover a wide variety of topics, including:Basics of Scientific Python EcosystemBasics of PandasBasics of NumPy and MatplotlibInstallation of Python 3 on WindowsSetting up Raspberry PiTour of Python 3 environment on Raspberry PiJupyter installation and basicsNumPy NdarraysArray Creation RoutinesBasic Visualization with MatplotlibNdarray ManipulationRandom Array GenerationBitwise OperationsStatistical FunctionsBasics of MatplotlibInstallation of SciPy and PandasLinear Algebra with NumPy and SciPyData Acquisition with Python 3MySQLand Python 3Data Acquisition with PandasBasics of SeabornConfiguring Charts with SeabornMulti-plot GridVisualize Linear RelationshipsMulti Color PlotVisualizing the distribution of a datasetYou will get lifetime access to over 40 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!This course comes with a30 day money back guarantee!If you are not satisfied in any way, you’ll get your money back.So what are you waiting for? Learn Data Science with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
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Investing in yourself through Learning
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.