Get yourself trained on Python for Data with this Online Training Python for Data Visualization & Fraud Detection Bootcamp.
Online Training Python for Data Visualization & Fraud Detection Bootcamp
Do you want to learn Python, Matplotlib, and Tensorflow?You’ve come to the right place.This course was funded by a wildly successful Kickstarter.Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code.This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib,a Python 2D plotting library.Learn to Use Python in Anaconda and PyCharmPython isa popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.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:Predict fraud with data visualization & predictive modeling!Detect Fraud and Predict the Stock Market with TensorFlow Make 2D & 3D Graphs in Python with Matplotlib for BeginnersPython Data Science and Machine Learning Bootcamp with KerasMaking Games in Unity and Graphs in Python using MatplotlibBuild Games and Learn withExamplesWe apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.Apply Your Python Knowledge to MatplotlibFor data visualization, you will learnmany cool features of Matplotlib that we can use for data visualization.We show you how to make line plots, scatter plots, candlestick plots.You learn how to customize the visuals of your graph,add text, and annotate graphs. And much more!And MoreYou will alsolearn to workwith TensorFlow and PyCharmto analyzecredit card fraud. And many more topics in this hugemasterclass from theMammoth Interactive team.Enroll Now for Lifetime Access
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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.