CompTIA Network+ Certification (Exam N10-008)

Using Data Analysis Expressions to solve common business problems in Power BI

The Microsoft Power Platform helps organizations optimize their operations by simplifying, automating and transforming business tasks and processes.

In this course, you will implement and administer networks by using Cisco solutions.

Install and configure mobile devices; Compare and contrast networking hardware; Configure internet connections and wireless networking,; Troubleshoot hardware and networks; Install motherboards, RAM, storage devices, CPUs and add-on cards; Deploy and configure connected devices; Summarize cloud-computing concepts and virtualization

This course is designed to create PL/SQL blocks both anonymous and named. This course will cover PL/SQL objects and data types. It will also cover packages and how to debug and improve performance within PL/SQL. It will address deploying PL/SQL objects and using Oracle pre-define packages, procedures, and functions.

In this course, you will understand and use Agile core terms, explain key Agile concepts and their importance in achieving agility, identify, engage, and leverage key stakeholders in an Agile environment, apply common Agile tools and techniques, embrace and advocate for an Agile mindset to benefit from an Agile approach, select the best practices for a project and apply them appropriately to benefit the project and organization.

This course introduces tools and tactics to manage cybersecurity risks, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and handle incidents as they occur.

Students who attend this course will leave armed with new skills to leverage modules, scale applications into multi-core environments, and improve the performance of Java 9 applications. This course will teach students everything they need to successfully master and implement the latest features and benefits of Java 9 and become a more effective Java 9 developer.

In this course, students will review the basics of C# program structure, language syntax, and implementation details, and then consolidate their knowledge throughout the week as they build an application that incorporates several features of .NET. The course aims to follow the spirit of the Microsoft Official Curriculum course 20483, while bringing it completely up-to-date with the latest features of C#, .NET 6.0 and Visual Studio 2022.

In this course you will, explain core programming fundamentals such as computer storage and processing, create and use variables and constants in programs, discuss how to create and use functions in a program, use decisions structures in a computer program, create and use repetition (loops) in a computer program, explain pseudocode and its role in programming, implement object-oriented programming concepts, and identify application errors and explain how to debug an application and handle errors.

In this course, you will create single page web applications using the MVC pattern of AngularJS, understand the programming model provided by the AngularJS framework, define Angular controllers and directives, and control Angular data bindings.

In this course, you will develop single page Angular applications using Typescript, set up a complete Angular development environment, create components, directives, services, pipes, forms and custom validators, handle advanced network data retrieval tasks using observables, consume data from REST web services using the Angular HTTP Client, handle push-data connections using the WebSockets protocol, work with Angular Pipes to format data, and use advanced Angular Component Router features.

This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development.

This course teaches concepts by deep-dive on-hand exercises. Throughout the course, you will learn data wrangling with hands-on exercises and activities. You’ll find checklists, best practices, and critical points mentioned throughout the lessons, making things more interesting.

In this course, you will apply recommended practices for effective and efficient automation with Ansible, perform automation operations as rolling updates, use advanced features of Red Hat Ansible Automation Platform to work with data, including filters and plugins, create automation execution environments to contain and scale Red Hat Ansible Automation, and leverage capabilities of the automation content navigator to develop Ansible Playbooks.

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service.

In this course, you will learn new concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.

In this course, you will apply data lake methodologies in planning and designing a data lake, articulate the components and services required for building an AWS data lake, secure a data lake with appropriate permission, ingest, store, and transform data in a data lake and query, analyze, and visualize data within a data lake.

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service.

In this course, you will learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips.

In this course, you will learn how to manage and operate automatable and repeatable deployments of networks and systems on AWS.

In this course, you will learn how to use the combination of tools, practices, and cultural philosophy of DevOps to improve an organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

In this course you will describe key database concepts in the context of SQL Server, characterize database languages used in SQL Server, describe data modeling techniques, discuss normalization and denormalization techniques, distinguish relationship types and effects in database design, describe the effects of database design on performance, and define commonly used database objects.

In this course, you will create single table SELECT queries, create multiple table SELECT queries, insert, update, and delete data, query data using built-in functions, create queries that aggregate data, create subqueries, create queries that use table expressions, use UNION, INTERSECT, and EXCEPT on multiple sets of data, implement window functions in queries, use PIVOT and GROUPING SETS in queries, use stored procedures in queries, add error handling to queries, and use transactions in queries.

In this course you will, create sophisticated SSIS packages for extracting, transforming, and loading data, use containers to efficiently control repetitive tasks and transactions, configure packages to dynamically adapt to environment changes, use Data Quality Services to cleanse data, successfully troubleshoot packages, create and manage the SSIS Catalog, deploy, configure, and schedule packages, secure the SSIS Catalog.

In this course you will authenticate and authorize users, assign server and database roles, authorize users to access resources, use encryption and auditing features to protect data, describe recovery models and backup strategies, backup and restore SQL Server databases, automate database management, configure security for the SQL Server agent, manage alerts and notifications, managing SQL Server using PowerShell, trace access to SQL Server, monitor a SQL Server infrastructure, and import and export data.

In this course, you will learn how to leverage AWS data Services to store, process, analyze, stream, and query data to make decisions with speed and agility at scale, how to modernize data solutions end to end, and obtain skills to put your data to work to make better, more informed decisions, respond faster to the unexpected, and uncover new opportunities.

In this course, you will practice and deploy serverless solutions on AWS.

In this course, you will learn to accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio.

In this course, you will install, configure, optimize, troubleshoot, repair, upgrade, and perform preventive maintenance on personal computers, digital devices, and operating systems.

This course teaches Azure Solution Architects how to design infrastructure solutions.

CompTIA Cloud+ shows you have the expertise needed to deploy and automate secure cloud environments and protect mission-critical applications and data.

In this 5-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize Endpoint Protection, manage compliance, and create management queries and reports. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and 2019.

This course maps to the CompTIA Security+ certification exam (SY0-701) and establishes the core knowledge required of any cybersecurity role, as well as providing a springboard to intermediate-level cybersecurity jobs.