Functional programming is gaining traction and popularity in the industry. However, it's not always clear why someone should care about it. This course will look at what it is, how it's different, and why it matters.

Learn to use Project 2019 in order to create and manage projects. Busy professionals will learn how to create tasks and dependencies, create and assign resources, track the project and create stunning reports to communicate to stakeholders.

Discover several techniques used to build charts and visualizations in Qlik, ranging from relatively simple chart types and properties to very complex applications that link charts to expressions and utilize master measures and dimensions.

In this course, you will advance to the next levels of working with PowerPoint 2019. You will learn how to improve your presentations with shapes, images, tables, charts and more enabling you to deliver professional looking slide presentations.

The Azure Marketplace is a unique opportunity for both customers and ISVs. This course explains the benefits the Marketplace brings for both groups, including reliability, licensing and billing flexibility, and access to customers.

Serverless gets framed as the "next big thing" but it's more than hype. Rather, it's the first cloud-native computing paradigm and may change how you build software. This course explains the technology and patterns you need to know to be successful.

This course teaches how to create, cultivate, debug, test, and serve apps using the Vue CLI and popular Vue developer tools. You will learn how to hone your Vue skills and develop great apps faster, all while following the recommended practices.

This course follows one of the most frequent situations in the development of contemporary projects: building an application tested at all levels. You’ll be able to replace most of the previous manual testing and build strong and safe applications.

This course covers a wide range of the important techniques of dimensionality reduction and feature selection available in scikit-learn, allowing model builders to optimize model performance by reducing overfitting, save on model training time and cost, and better visualize the results of machine learning models.

Learn to use event storming as a scoping technique to identify microservices within your software model, as well as the contracts between them. You will also learn how to progress the event storming model into an organized set of .NET applications.

The ability to interpret the truth, accuracy, and objectivity in data visualizations is incredibly important, whether you are creating your own visualizations or are interpreting those you see. This course will teach you these skills.

In this course, you’ll learn new features that span multiple applications, as well as application specific features. This course will get brought up to date by learning all about enhancements and new features in the Office suite of applications.

This course covers several important techniques used to implement clustering in scikit-learn, including the K-means, mean-shift and DBScan clustering algorithms, as well as the role of hyperparameter tuning, and performing clustering on image data.

This course covers the important aspects of using PyTorch on Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP), including the use of cloud-hosted notebooks, deep learning VM instances with GPU support, and PyTorch estimators.

Visual Studio 2019 improves your software quality. In this one-hour course, you’ll learn what’s new in Visual Studio 2019 and how it will make you more productive.

Rise above the noise and stay grounded by seeing the big picture possibilities of data persistence on iOS. Discover what to expect if you choose one technology over another, and get the feel for what it’s like to use popular data solutions in code!

Build or enhance your data visualization and analysis toolkit by learning how to read and build over 35 different charts. You'll learn concepts that will unlock the mystery of what Tableau is going to draw as you drag and drop.

Implementing a reliable, fault-tolerant graph database solution takes significant effort. That is where Neptune, Amazon's managed graph database service, can help get you up and running quickly.

To model your data in Power BI, you need to clean it up first. In this course, you will learn to use Power Query, including how to navigate the Power Query editor, add data transformation steps, fix errors, and make advanced changes.

This course covers both the why and how of using scikit-learn. You'll delve into scikit-learn’s niche in the ever-growing taxonomy of machine learning libraries, and important aspects of working with scikit-learn estimators and pipelines.

In this course, you will learn how to use Data Manager to extract, transform and load data into Qlik Sense for analysis. By the end of the course, you will be able to execute self-service analytics without being dependent on a BI or IT developer.

Learn to query your data (including on-premises data) using questions such as "Can you show me revenue by region for the last three months?". Also, discover how to easily mine valuable insights from your data without needing a degree in data science.

This course will teach you how to encrypt your data at Amazon Web Services (AWS). Concepts include encryption and decryption, use of the Key Management Service (KMS), CloudHSM, and using Amazon Macie to manage and protect S3 storage.

In this course, you will learn how to set up an automated build with Azure DevOps or Azure DevOps Server pipelines. By the end of this course, you will be able to implement continuous integration builds that are the fundament for your DevOps teams.