THE ULTIMATE MYSQL BOOTCAMP: GO FROM SQL BEGINNER TO EXPERT

Become an In-demand SQL Master by creating complex databases and building reports through real-world projects Created by Colt Steele Last updated 12/2017 English What Will I Learn? Create your own database or interact with existing databases Write complex SQL queries across multiple tables Build a web app using NodeJS and MySQL Model real-world data and generate reports using SQL Answer company performance or sales questions using data Requirements No Database, SQL, or MySQL experience needed! Complete beginners to MySQL are welcome. All you need is a working computer for this course; PC, Mac, and Linux users are all welcome. No …

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GCP: COMPLETE GOOGLE DATA ENGINEER AND CLOUD ARCHITECT GUIDE

The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop Best Seller Created by Loony Corn Last updated 12/2017 English English [Auto-generated] What Will I Learn? Deploy Managed Hadoop apps on the Google Cloud Build deep learning models on the cloud using TensorFlow Make informed decisions about Containers, VMs and AppEngine Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub Requirements Basic understanding of technology – superficial exposure to Hadoop is enough Description This course is a really comprehensive guide to the Google Cloud Platform – it has ~25 hours of content and ~60 demos. The Google Cloud …

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LEARN SWIFT 4 WITH BOB: THE INTERMEDIATE TO ADVANCED SWIFT

Functional Programming, Protocol Oriented, Value Oriented, Generic Protocols, Object Oriented, Swift 4 Created by Bob Lee Last updated 9/2017 English English [Auto-generated] What Will I Learn? Learn the difference between classes and structs and which one to use Learn how to create generic enums, structs, classes, protocols Get a taste of functional programming with trailing, auto, and escaping closures Understand how objects are created and removed through Automatic Reference Counting Understand potential retain cycle in closures, delegate, and class variables Understand Swift is a protocol oriented programming language Apply protocols such as Equatable, Comparable, Sequence, and IteratorProtocol Execute Swift files …

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MASTER HIBERNATE AND JPA WITH SPRING BOOT IN 100 STEPS

Learn fundamentals of Java Persistence API (JPA) and Hibernate framework using Spring and Spring Boot Best Seller Created by in28Minutes Official Last updated 9/2017 English English [Auto-generated] What Will I Learn? You will learn the basics of JPA and Hibernate – Entities, Relationships, Inheritance Mappings and Annotations You will understand approaches to querying data using JPA and Hibernate – JPQL, Criteria API and Native Queries You will understand JPA and Hibernate Relationships in depth – One to One, Many to One and Many to Many You will use a variety of Spring Boot Starters – Spring Boot Starter Web, Starter …

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C# DEVELOPERS: DOUBLE YOUR CODING SPEED WITH VISUAL STUDIO

Fast Coding Techniques that Every C# Developer Must Know Best Seller Created by Mosh Hamedani Last updated 5/2017 English English [Auto-generated] What Will I Learn? Over 60 keyboard shortcuts that speed up your coding Learn to write more code with less typing Learn to use your keyboard like a pro and rely less on the mouse Learn to navigate in your projects and find files, classes and members more quickly Learn to compile, run and debug applications faster Learn about great add-ons that make coding fun and easy Requirements Visual Studio 2010 or higher Basic knowledge of Visual Studio Description …

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DATA SCIENCE, DEEP LEARNING, & MACHINE LEARNING WITH PYTHON

Go hands-on with the neural network, artificial intelligence, and machine learning techniques employers are seeking! Best Seller Created by Sundog Education by Frank Kane, Frank Kane Last updated 9/2017 English What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions Visualize data with matplotlib Use covariance and correlation metrics Apply conditional probability for finding correlated features Use Bayes’ Theorem to identify false positives Make predictions using linear regression, polynomial regression, and multivariate regression Understand complex multi-level models Use train/test and K-Fold cross validation to choose …

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