730 Courses

There is a lot to learn in Power BI, this course takes a comprehensive look at the fundamentals of analysing data and includes a balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to utilise the online Power BI service. It looks at authoring tools that enable you to connect to and transform data from a variety of sources, allowing you to produce detailed reports through a range of visualisations, in an interactive and dynamic way. It also includes a detailed look at formulas by writing both M functions in Power Query, and DAX functions in Desktop view. This knowledge will allow you to take your reports to the next level. The aim of this course is to provide a complete introduction to understanding the Power BI analysis process, by working hands-on with examples that will equip you with the necessary skills to start applying your learning straight away. 1 Getting Started The Power BI ecosystem Opening Power BI Desktop Power BI's four views Introduction to Dashboards 2 Importing Files Importing data sources Importing an Excel file Importing a CSV file Importing a database Connect to an SQL Server Database Import vs. Direct Query Importing from the web Importing a folder of files Managing file connections 3 Shape Data in the Query Editor The process of shaping data Managing data types Keeping and removing rows Add a custom column Appending tables together Hiding queries in reports Fixing error issues Basic maths operations 4 The Data Model Table relationships Relationship properties 5 Merge Queries Table join kinds Merging tables 6 Inserting Dashboard Visuals Things to keep in mind Inserting maps Formatting Maps Inserting charts Formatting Charts Inserting a tree map Inserting a table, matrix, and card Controlling number formats About report themes Highlighting key points Filter reports with slicers Sync slicers across dashboards Custom web visuals 7 Publish and share Reports Publishing to Power BI service Editing online reports Pinning visuals to a dashboard What is Q&A? Sharing dashboards Exporting reports to PowerPoint Exporting reports as PDF files 8 The Power Query Editor Fill data up and down Split column by delimiter Add a conditional column More custom columns Merging columns 9 The M Functions Inserting text functions Insert an IF function Create a query group 10 Pivoting Tables Pivot a table Pivot and append tables Pivot but don't aggregate Unpivot tables Append mismatched headers 11 Data Modelling Expanded Understanding relationships Mark a date table 12 DAX New Columns New columns and measures New column calculations Insert a SWITCH function 13 Introduction to DAX Measures Common measure functions Insert a SUM function Insert a COUNTROWS function Insert a DISTINCTCOUNT function Insert a DIVIDE function DAX rules 14 The CALCULATE Measure The syntax of CALCULATE Insert a CALCULATE function Control field summarisation Things of note 15 The SUMX measure X iterator functions Anatomy of SUMX Insert a SUMX function When to use X functions 16 Time Intelligence Measures Importance of a calendar table Insert a TOTALYTD function Change financial year end date Comparing historical data Insert a DATEADD function 17 Hierarchies and Groups Mine data using hierarchies Compare data in groups

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Overview Course Overview 00:04:00 Building Your Virtual Lab Environment Video - Downloading ISO and OVA Fles for VirtualBox 00:08:00 Video and lab - Creating a Virtual install of Kali using VirtualBox 00:12:00 Video and Lab - Creating a Virtual Install of CSI Linux 2021.2 00:12:00 Video and lab - Creating an Unattended Virtual Install of XP Using Virtualbox 00:08:00 Video - Installing the VirtualBox Extension pack 00:02:00 Video - Taking a Snapshot of Your Current Configuration 00:04:00 Passive Reconnaissance Video and Lab - Gathering Information Using Maltego 00:09:00 Video and Lab - Gathering Information Using CSI Linux Investigator 00:08:00 Video and Lab - Preparing CSI Linux to Use Shodan 00:05:00 Video and Lab - Using Shodan to Find Vulnerable Devices 00:16:00 Nmap Video and Lab - Introduction to NMap 00:17:00 Video and lab - NMap Scripting Engine (NSE) 00:19:00 Video and lab - Scanning for WannaCry Ransomware 00:14:00 Scanning for Vulnerabilities Using Nessus Video and Lab - Installing NESSUS Using Docker 00:11:00 Video and lab - Scanning for Vulnerabilities Using Nessus 00:10:00 Video - Using Your Nessus Scan Results 00:12:00 Scanning for Vulnerabilities Using OpenVAS Video and Lab - Installing OpenVAS Using Docker 00:09:00 Video and Lab - Scanning for Vulnerabilities Using OpenVAS 00:10:00 Exploiting Microsoft Windows Video and Lab- Using Metasploit to Launch a DOS Attack Against Windows XP 00:09:00 Video and Lab - Establishing A VNC Shell Using Meterpreter 00:18:00 Video and Lab - Using Meterpreter to backdoor Windows XP 00:11:00 Exploiting Linux Video and lab - Installing Metasploitable2 Using VirtualBox 00:10:00 Social Engineering Video and Lab - Using the Social Engineering Toolkit (SET) 00:07:00 BASH Scripting for Pentesters Video and Lab - Introduction to BASH Scripting 00:08:00 Video and Lab - Creating a BASH Script for Scanning Vulnerable Ports 00:16:00 Video and Lab - Password Cracking Using Medusa 00:06:00 Video and Lab - Passwords Cracking Using Mimikatz 00:11:00 Pentesting Wireless Networks Video and Lab - Installing a Wireless Adapter in Kali 00:09:00 Video and Lab - Hacking a Wireless Network Using Kali Linux 00:14:00 Wireless Deauthentication Attack 00:06:00 PMKID Client-less Wireless Attack Using Bettercap 00:10:00 Web Based Application Attacks Video and Lab - Installing w3af in Kali Linux Using Docker 00:13:00 Video and Lab - Conducting A Website Vulnerability Scan Using w3af 00:05:00 Video and Lab - Performing a Browser Based Attack 00:12:00 Video and lab - SQL Injection Attack Using SQLmap 00:12:00 Browser Exploitation Framework (BeEF) Video - Configure Kali for Exploitation the WAN 00:16:00 Video and lab - The Browser Exploitation Framework (BeEF) 00:19:00 Remaining anonymous Video and Lab - Anonymize Kali Using Whonix 00:10:00 Capture The Flag Walkthrough - Mr. Robot Video Walk Through -Key #1 00:13:00 Video Walk through - Key #2 00:19:00 Video Walk Through - Key #3 00:08:00 Capture The Flag Walkthrough - Stapler Video - Capture the Flag - Stapler Part 1 00:18:00 Video - Capture the Flag - Stapler Part 2 00:17:00 Video - Capture the Flag - Stapler Part 3 00:17:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course will help you become familiar with the implementation of creational design patterns. Featuring real-world examples written in modern C++, each pattern is explained in detail to help you to understand how the pattern can be implemented efficiently using language features.

This course will walk you through a whole real-world scenario for developing and deploying an ecommerce website with Blazor, and we will tackle numerous obstacles along the way. You will learn how to create a .NET 6 API from scratch and deploy .NET API, Blazor WASM, and Server to Azure in this course.

Description: The 70-246 - Monitoring and Operating a Private Cloud with System Center 2012 R2 (MCSE) course teaches you how to monitor and operate a private cloud with System Center 2012 R2. Throughout the course, you will learn the basics of the cloud, the ways of working with the business cloud, cloud services, monitoring and automating responses. The course will teach you how to handle problems in the Private Cloud, and the procedures of Service Management in the Private Cloud. You will also be introduced to cloud protection, recovery, compliance, the use of SLAs, Dashboards and Widgets. The course shows you the real-time state using Visio, system centre analytics, service level tracking, viewing SSRS and Excel to view data, PerformancePoint and configuring and deploying widgets and dashboards. Finally, you will learn cleaning up system centre databases systems. After completing the course, you will understand how Operations Manager handles monitoring, Service Manager and App Controller facilitate self-service, and Orchestrator glues everything together. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? 70-246 - Monitoring and Operating a Private Cloud with System Center 2012 R2 (MCSE) training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our 70-246 - Monitoring and Operating a Private Cloud with System Center 2012 R2 (MCSE) course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. System Center 2012 What is System Center 2012 FREE 00:30:00 Introducing the Cloud Discussion of Cloud Computing 00:19:00 Important Requirements 00:07:00 Working with System Center and the Infrastructure 00:05:00 Maintaining the Cloud Health 00:05:00 How Components are Integrated 00:06:00 Are You in Compliance 00:05:00 Working with the Business Cloud Examining SC 2012 VMM 00:17:00 Working with VMs with the VMM 00:11:00 Creating Clouds for Business 00:16:00 Cloud Services Looking at Service Templates and VMM Profiles 00:22:00 Web Deploy Packages 00:08:00 Server App V Introduction 00:05:00 The Data of the N Tier Application 00:05:00 What's New with VMM R2 00:07:00 Importing and Deploying the Stock trader Application 00:10:00 Installing SQL Server 00:10:00 Monitoring Overview of Operations Manager 00:20:00 Customize the Monitoring Operations 00:09:00 Monitoring Application Performance 00:14:00 Advanced Monitoring 00:04:00 Using Operations Manager for Applications 00:04:00 Using Operations Manager for the Network 00:11:00 Using Operations Manager for Distributed Applications 00:07:00 What's New in Operations Manager 2012 R2 00:09:00 Deploying an Agent 00:09:00 Configuration for Custom Monitoring 00:11:00 Configuring Basic Monitoring and Application Perfomance 00:12:00 Installing Operations Manager 00:05:00 Automating Responses Looking at Orchestrator 2012 00:08:00 Putting Orchestrator, Operations Manager, and Service Manager Together 00:15:00 What's New with Orchestrator 2012 R2 00:04:00 Managing Problems in the Private Cloud What is Problem Management 00:07:00 Using Custom Rules 00:08:00 Service Management in the Private Cloud Service Manager Introduction 00:10:00 Security Settings 00:09:00 Work Items 00:08:00 Incident Queues and Service Offerings 00:03:00 What's New with Service Manager 2012 R2 00:01:00 Configuring the Incident Template 00:10:00 Cloud Protection, Recovery, and Compliance Protecting and Recovering Data for the Private Cloud 00:29:00 Data Recovery 00:15:00 Overview of the Process Pack for IT GRC 00:14:00 Installing the Process Pack for IT GRC 00:06:00 Implementing an IT GRC Control Management Program 00:06:00 How to Maintain Compliance Through VMM Security Baselines with System Center 00:06:00 What's New with DPM 2012 R2 Advisor 00:03:00 Configuring Manual Protection 00:06:00 SLAs, Dashboards and Widgets Configuring and Deploying Widgets and Dashboards 00:12:00 Real-Time State Using Visio 00:10:00 System Center Analytics 00:12:00 Service Level Tracking 00:05:00 Viewing SSRS and Excel to View Data 00:04:00 PerformancePoint 00:04:00 Cleaning Up System Center Databases Service Manager Groom Settings 00:08:00 View and Purge Orchestrator Runbook Logs 00:08:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.

This advanced course created by data analysts who use Alteryx daily while working with their clients teaches data cleansing and manipulation, working in databases, apps, and macros, and breaks down Alteryx's latest product, Alteryx Intelligence Suite, which includes ML tools that introduce individuals to the world of AI

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Deployment engineer Network engineer Sales engineer Overview After taking this course, you should be able to: Describe the Cisco conferencing architecture including cloud, hybrid, and on-premises conferencing Describe the physical deployment options and deployment models for Cisco Meeting Server, including Cisco Meeting Server 1000, 2000, and virtual machine Configure a Cisco Meeting Server single combined deployment for Web-Real Time Communications (WebRTC) endpoints within the enterprise Use APIs and the Cisco Meeting Server API Guide to configure profiles using Postman and the Webadmin API tool Configure a scalable and resilient deployment of Cisco Meeting Server with three servers for WebRTC endpoints within the enterprise Configure a scalable and resilient deployment of Cisco Meeting Server to support standard Session Initiation Protocol (SIP) and WebRTC connectivity outside the enterprise Configure a scalable and resilient deployment of Cisco Meeting Server to support recording and streaming of conferences Configure Cisco Unified Communications Manager and Cisco Meeting Server to support Rendezvous, Scheduled, and Ad-hoc conferencing for Cisco Unified CM registered endpoints Configure Cisco Meeting Server to integrate with a preconfigured on-premise Microsoft Skype for Business installation Install Cisco TelePresence Management Suite (Cisco TMS) and Cisco TelePresence Management Suite for Microsoft Exchange (Cisco TMSXE) on a single Microsoft Windows 2012 server and connect to an existing SQL environment Install and integrate Cisco Meeting Management with Cisco TMS and Cisco Meeting Server Set up and manage a scheduled conference with Cisco TMS and Cisco Meeting Management Capture and analyze logs from Cisco Meeting Server and Cisco Meeting Manager to diagnose faults, including a SIP connection error The Implementing Cisco Collaboration Conferencing (CLCNF) v1.0 course focuses on Cisco© on-premises conferencing architecture and solutions. You will gain knowledge and skills to design and implement common conferencing deployment scenarios of Cisco Meeting Server, its integration with call control features such as Cisco Unified Communications Manager and Cisco Expressway, and other Cisco collaboration conferencing devices.This course offers lessons and hands-on labs to prepare you for the 300-825 Implementing Cisco Collaboration Conferencing (CLCNF) exam. Course outline Describing Cisco Conferencing Architecture Configuring a Single Combined Deployment Installing Cisco Meeting Server Using APIs with Cisco Meeting Server Configuring a Cisco Meeting Server Scalable and Resilient Deployment Configuring Business to Business (B2B) and WebRTC Firewall Traversal Connectivity for Cisco Meeting Server Configuring Recording and Streaming with Cisco Meeting Server Troubleshooting Cisco Meeting Server Integrating Cisco Meeting Server with Cisco Unified CM Integrating Cisco Meeting Server with Microsoft Skype for Business Installing and Operating Cisco TMS and Cisco TMSXE Installing and Integrating Cisco Meeting Management Additional course details: Nexus Humans Cisco Implementing Cisco Collaboration Conferencing v2.0 (CLCNF) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Cisco Collaboration Conferencing v2.0 (CLCNF) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine This class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring. Introduction to Google Cloud Platform Use the Google Cloud Platform Console Use Cloud Shell Define cloud computing Identify GCPs compute services Understand regions and zones Understand the cloud resource hierarchy Administer your GCP resources Containers and Kubernetes in GCP Create a container using Cloud Build Store a container in Container Registry Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE) Understand how to choose among GCP compute platforms Kubernetes Architecture Understand the architecture of Kubernetes: pods, namespaces Understand the control-plane components of Kubernetes Create container images using Google Cloud Build Store container images in Google Container Registry Create a Kubernetes Engine cluster Kubernetes Operations Work with the kubectl command Inspect the cluster and Pods View a Pods console output Sign in to a Pod interactively Deployments, Jobs, and Scaling Create and use Deployments Create and run Jobs and CronJobs Scale clusters manually and automatically Configure Node and Pod affinity Get software into your cluster with Helm charts and Kubernetes Marketplace GKE Networking Create Services to expose applications that are running within Pods Use load balancers to expose Services to external clients Create Ingress resources for HTTP(S) load balancing Leverage container-native load balancing to improve Pod load balancing Define Kubernetes network policies to allow and block traffic to pods Persistent Data and Storage Use Secrets to isolate security credentials Use ConfigMaps to isolate configuration artifacts Push out and roll back updates to Secrets and ConfigMaps Configure Persistent Storage Volumes for Kubernetes Pods Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts Access Control and Security in Kubernetes and Kubernetes Engine Understand Kubernetes authentication and authorization Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources Define Kubernetes pod security policies Understand the structure of GCP IAM Define IAM roles and policies for Kubernetes Engine cluster administration Logging and Monitoring Use Stackdriver to monitor and manage availability and performance Locate and inspect Kubernetes logs Create probes for wellness checks on live applications Using GCP Managed Storage Services from Kubernetes Applications Understand pros and cons for using a managed storage service versus self-managed containerized storage Enable applications running in GKE to access GCP storage services Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application