Get yourself trained on Julia for Data with this Online Training Julia for Data Science.
Online Training Julia for Data Science
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance without the sacrifice of human convenience. Julia is a fresh approach to technical computing, combining expertise from diverse fields of computational and computer science.This video course walks you through all the steps involved in applying the Julia ecosystem to your own data science projects. We start with the basics and show you how to design and implement some of the general purpose features of Julia. Is fast development and fast execution possible at the same time? Julia provides the best of both worlds with its wide range of types, and our course covers this in depth. You will have organized and readable code by the end of the course by learning how to write Lisp style macros and modules.The course demonstrates the power of the DataFrames package to manage, organize, and analyze data. It enables you to work with data from various sources, perform statistical calculations on them, and visualize their relationships in different kinds of plots through live demonstrations.Julia for Data Science takes you from zero to hero, leaving you with the know-how required to applyAbout The AuthorIvo Balbaert is currently a web programming and databases lecturer at CVO Antwerpen , a community college in Belgium. He received a PhD in applied physics in 1986 from the University of Antwerp. He worked for 20 years in the software industry as a developer and consultant in several companies, and, for 10 years, as a project manager at the University Hospital of Antwerp. In 2000, he switched over to partly teach and partly develop software (KHM Mechelen, CVO Antwerp).He also wrote Programmeren met Ruby en Rails, an introductory book in Dutch about developing in Ruby and Rails, by Van Duuren Media.In 2012, he authored The Way To Go, a book on the Go programming language by IUniverse.In 2014, he wrote Learning Dart (in collaboration with Dzenan Ridzanovic) and Dart Cookbook, both by Packt Publishing.Finally, in 2015, he wrote Getting started with Julia and Rust Essentials, both by Packt Publishing.
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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.
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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.