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Microsoft Collaboration: SharePoint, Teams, and Groups (LinkedIn Learning)

Learn how to create organization-wide systems of collaboration using Microsoft SharePoint, Teams, and Office 365 Groups. Instructor Gini von Courter dives into each of the programs, showing you how to create systems for asynchronous collaboration, such as file sharing, as well as communication-based collaboration that's targeted to specific members or groups inside an organization. Learn how to create a SharePoint team site and an Office 365 group, as well as how you can use your sites and groups together. Discover how to start using Teams as the collaboration hub that gives users one access point for their Teams, SharePoint sites, and Groups, including how to include cloud storage, create a tab for a page from a SharePoint site, display a SharePoint list in Teams, and mo

EN
Sharepoint
Teams

Agile Project Management: Comparing Agile Tools (LinkedIn Learning)

Agile is an exciting way to quickly deliver higher-quality products to your customer. New agile tools are emerging every day. This course helps you compare the strengths and capabilities of several different agile software tools, including Microsoft Excel, Atlassian JIRA, VersionOne, Microsoft Team Foundation Server (TFS), CA Agile Central (formerly Rally), and Agility Health. You'll see the advantages of simple tools like spreadsheets versus more complex solutions like complete product management packages. This course helps project managers, software developers, and other professionals determine which tool is the best fit for their team. Agile expert Doug Rose provides a fast-paced tour and an unvarnished look at what some of the tools get right and what some get wrong. Doug concludes each section with suggested strategies for selecting the right tool for your team—always remembering that no tool should ever overshadow the core values outlined in the agile manifesto.

EN
Agile
TFS
DevOps

Configure and Manage SharePoint Online (LinkedIn Learning)

Microsoft SharePoint Online is a significant component of Microsoft 365 teamwork solutions. In this course, Ed Liberman shows how to configure and manage SharePoint Online, including how to plan and configure site collections and apps. Ed also demonstrates how to customize sites within SharePoint using apps, manage user profiles, create relevant search results for users, and monitor and maintain the SharePoint Online service.

EN
SharePoint
Sharepoint

SharePoint 2019 Essential Training: The Basics (LinkedIn Learning)

SharePoint 2019—the on-premises edition of the popular Microsoft platform—comes bundled with a number of powerful features for business collaboration and real-time documentation sharing. In this course, Gini von Courter helps you get up and running with SharePoint by covering the most essential of these features. Gini teaches SharePoint site owners and members how to navigate in SharePoint and use SharePoint sites, as well as how to create, edit, and save documents. She also shows how to create and use team sites, create and work with list apps, and integrate SharePoint with other Office applications, including Excel and Outlook.

EN
SharePoint
Sharepoint

Programming Foundations: APIs and Web Services (LinkedIn Learning)

Web services have been at the core of modern application architectures for many years. Regardless of what language or platform a developer is using, grasping how web services work and how to implement them are critical skills. In this course, instructor Kesha Williams steps through how to work with several popular technologies to build web services. Kesha begins by laying the groundwork for the course, explaining what web services are and the benefits they provide. She then offers a comparison of several popular web service technologies—REST, SOAP, and GraphQL—describing each technology's messaging formats in detail, along with examples of coding in several languages using a variety of server- and client-based implementations. Plus, get coding excerpts in Java, Python, and Swift.

EN
SOAPUI

API Testing Foundations (LinkedIn Learning)

As software companies continue to shift towards cloud computing, mobile apps, and microservice architectures, the ability to quickly and effectively test APIs has become a critical skill for software testers. In this course, instructor Dave Westerveld covers the basics of API testing, sharing how to work with several robust tools for testing APIs at scale in an organization. After providing a primer on web services and important API terminology, Dave shows how to use Postman for some basic API exploration. He then goes over some basic approaches and methodologies used in testing GET, POST, PUT, and DELETE requests; shows how to approach performance testing using SoapUI, a popular automated API testing tool; and more.

EN
SOAPUI

All Application Owner courses

Learning path: Advance Your Skills in Predictive Analytics (LinkedIn Learning)

Predictive analytics is one of the richest disciplines within the realm of data science. As the tools and techniques for using data to predict future outcomes have evolved, business and data analysis professionals can use this learning path to stay up to date with the latest advancements.

Learning path: Become a Data Visualization Specialist: Concepts (LinkedIn Learning)

Data visualization is ultimately the make-or-break moment for any data science operation or business analytics project. Develop a solid foundation for how to think about the visual interpretation and communication of data and data insights.

Learning Path: Become a Data Analytics Specialist (LinkedIn Learning)

If you want to participate in the data revolution, you need the right tools and skills. R is a free, open-source language for data science that is among the most popular platforms for professional analysts. Learn the basics of R and get started finding insights from your own data, in this course with professor and data scientist Barton Poulson. The lessons explain how to get started with R, including installing R, RStudio, and code packages that extend Râ€™s power. You also see first-hand how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis. By the end of the course, youâ€™ll have a thorough introduction to the power and flexibility of R, and understand how to leverage this tool to explore and analyze a wide variety of data.

Learning Path: Master R for Data Science (LinkedIn Learning)

Learn the most popular data-science-specific language: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume. Learn how R works, from the foundational concepts on up. Practice using R with two of the most common tools in data science: Excel and Tableau. Explore the applied use of R in social network analysis.

Cleaning Bad Data in R (LinkedIn Learning)

Data integrity is the new focal point of the data science revolution. Now that everybody is onboard with the role of data in people's lives and business, it's not an unfair question to ask, "Can you prove that your data is accurate?" In this course, you can learn how to identify and address many of the data integrity issues facing modern data scientists, using R and the tidyverse. Discover how to handle missing values and duplicated data. Find out how to convert data between different units and tackle poorly formatted text. Plus, learn how to detect outliers, address structural issues, and identify red flags that indicate potential data quality issues.Where possible, instructor Mike Chapple shows how to correct the issues using R, but the same principles can be applied to any statistical programming language. Learning objectives Missing data Duplicate rows and values Converting data Formatting data Working with tidy data Tidying data sets Dealing with suspicious data

R Programming in Data Science: High Volume Data (LinkedIn Learning)

Data fills all available space, and now that storage is cheap, the amount of data has exploded. However, all that information is useless without analysis and context. The R programming language is designed to make it easier to analyze and visualize massive amounts of data. For example, R provides the ability to multiply one block of variables by another—an assumption that provides inherent advantages over other languages. This course shows why R is ideal for high volumes of data, introduces more efficient ways to use the language, and explains how to avoid the problems and capitalize on the opportunities of big data. Learn how to determine if you have enough memory and processing power, produce visualizations of big data, optimize your R code, and use advanced techniques such as parallel processing to speed up your computations. Plus, discover how to integrate R with big-data solutions such as SQL databases and Apache Spark. Learning objectives Accessing memory and processing power Visualizing high-volume data Profiling and optimizing R code Compiling R functions Parallel processing with R Using R with other big data solutions

All BI courses

Project Management Simplified (LinkedIn Learning)

Almost everything you do in the workplace is a project, from the smallest task to the largest endeavor. All of this work can benefit from some basic project management skills. Once mastered, you will be able to transfer this valuable skillset to any project, of any size, in any industry. In this course, management trainer Chris Croft outlines the twelve steps to managing projects without creating a lot of extra overhead, and shows how to use traditional project management tools—such as Gantt charts and network diagrams—to help you succeed. Learn how to plan a project, manage resources, monitor progress, and deliver your project on time and on budget. Learning objectives Describe a project and its constraints. Interpret the appropriate level of granularity of tasks. Determine the importance of a project’s critical path. Explain how to calculate and add contingency to a project. Analyze the data within a risk chart. Interpret the challenges of monitoring costs and identifying when to adjust the project plan.

All Project Manager courses

SQL Server 2016: Administer a Database Infrastructure (LinkedIn Learning)

SQL Server comes with many features for monitoring, securing, optimizing, and supporting your database infrastructure. Learn how to use these features to administer your SQL Server instances, and prepare for the Microsoft MCSA Administering a SQL Database Infrastructure (70-764) certification exam.Adam Wilbert covers four main skill areas required of SQL Server 2016 administrators: configuring access to data, managing backups, monitoring performance, and implementing the high-availability features of the product. Learn about data encryption, access control, role-level security, and dynamic data masking. Use SQL Server auditing to gain insights into the health and performance of your system, and determine upgrade paths. Discover how to back up SQL Server and perform full or partial restores, and monitor activity. Explore indexing and query execution plan management. Plus, learn to configure availability groups to mitigate hardware failure.

Microsoft SQL Server 2016: Installation and Administration (LinkedIn Learning)

SQL Server is the database used with Azure and many on-premises environments and is quickly becoming a very popular RDBMS. Get an overview of installing, administering, and managing SQL Server 2016 in this course with SQL Server expert Gerry O'Brien. Learn how to install the database and tools, configure different instances, optimize performance, and secure your database with user roles and logins. Gerry also covers administrative duties such as backup and restoration, database migration, and high-availability options, including database replication, log shipping, and always-on availability.This course is also ideal for anybody preparing for the Administering a SQL Database Infrastructure (70-764) exam, one of two exams necessary to earn an MCSA: SQL 2016 Database Administration certification.

Database Foundations: Administration (LinkedIn Learning)

Ongoing, regular administration is critical to the security and performance of databases such as Oracle and SQL Server. It's also a key topic of the Microsoft Technology Associate (MTA) Exam. Whether you're studying to pass the test or simply to keep your admin skills up to date, this course will cover the most current techniques and best practices for administering a database. Adam Wilbert covers the core concepts, including securing the server with user authentication and roles, assigning object-level permissions, and performing a backup and restore. Along the way, he'll provide tips for working with SQL Server Management Studio and some challenges to help you practice what you've learned.Note: This course will also prepare certification candidates for the "Administer a database" domain of the Microsoft Technology Associate (MTA) Exam 98-364, Database Administration Fundamentals.

Learning Microsoft SQL Server 2019 (LinkedIn Learning)

Never worked with a database before? In this course, Adam Wilbert goes over the most important features of working with SQL Server 2019, providing brand-new users with a first look at how the server operates. Instructor Adam Wilbert introduces the main working environment, SQL Server Management Studio, and walks you through how to create tables, define relationships, and write and run queries with Transact-SQL commands. Upon wrapping up this course, you’ll know everything you need to accomplish to create your first database. Start watching to quickly get up and running with this professional-grade database management system.

Microsoft SQL Server 2019 Essential Training (LinkedIn Learning)

Master the fundamentals of SQL Server 2019, the industry-leading database management platform from Microsoft. In this course, instructor Adam Wilbert equips beginners with the core skills they need to create and manage SQL Server databases. Adam begins with the basics, showing how to install SQL Server and log into a local database server. He then discusses how to create new databases, design tables, define relationships, write queries, and use stored procedures and built-in functions. Plus, he demonstrates how to perform crucial database administration tasks, such as backups and restores, security enhancements, and performance monitoring.

SQL Tips, Tricks, & Techniques (LinkedIn Learning)

Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists. Ben's tips focus on practical applications of SQL queries for data analysis. Learn how to retrieve data, join tables, calculate rolling averages and rankings, work with dates and times, use window functions, aggregate and filter data, and much more. Each tip is short, relevant, and up to date with current industry best practices—making this the perfect course for busy analysts who normally struggle to find time to build their skills.

All Database Administrator courses

Themes

Agile Project Management: Comparing Agile Tools (LinkedIn Learning)

Application Owner

All TFS courses

Programming Foundations: APIs and Web Services (LinkedIn Learning)

Application Owner

API Testing Foundations (LinkedIn Learning)

Application Owner

Software Testing: Tools (LinkedIn Learning)

Trying to choose a tool to perform software testing? The market is a minefield, full of so many choices that it becomes difficult to zero in on the best tool for your unique test environment. This course surveys the most popular software testing tools available, including paid and open-source solutions such as Selenium, Postman, JMeter, and Kali Linux. Instructor Michael Smith—an experienced tester and software architect—breaks down the tools according to their suitability for each discipline, including API testing, security testing, load testing, and more. He also covers tools for lifecycle management and test planning, and dives into areas beyond the traditional software testing role, including unit and infrastructure testing. This review helps you narrow down your choices and understand the pros and cons of each platform, so you can make the right additions to your testing toolkit.