585 Technology courses delivered Live Online

Course Overview The Hospitality Management Level 5 course offers a comprehensive insight into the dynamic and fast-paced world of hospitality. Designed to build a strong foundation in management practices, service excellence, and operational efficiency, the course equips learners with the knowledge and leadership skills required for success in the industry. Covering critical areas such as front office operations, food and beverage management, customer satisfaction, and marketing in travel and tourism, it ensures a well-rounded understanding of hospitality business functions. The curriculum also embraces modern developments such as e-hospitality and the use of technology in operations. Upon completion, learners will have developed key competencies in managing service quality, human resources, and financial aspects of hospitality enterprises. This qualification is ideal for those seeking career progression or wishing to enter this vibrant sector, offering valuable insights into creating memorable guest experiences and efficient business practices within hotels, resorts, and related hospitality organisations. Course Description The Hospitality Management Level 5 course delves deeper into the essential principles, operational challenges, and strategic approaches within the hospitality sector. Learners will explore the structure and evolution of the hotel industry, the importance of efficient recruitment and training processes, and the management of core areas including front office, housekeeping, food and beverage, and security operations. In addition, the programme highlights the significance of customer satisfaction, quality service delivery, marketing strategies, and financial management within hospitality environments. Contemporary topics such as e-hospitality and technology adoption are also integrated to reflect current industry trends. Throughout the course, participants will gain valuable knowledge, analytical capabilities, and management techniques that are crucial for sustaining high service standards and fostering business growth. The course structure is designed to cater to a wide range of learners, providing the flexibility to support both career advancement and entry into this dynamic field. Course Modules Module 01: Introduction to Hospitality Management Module 02: An Overview of Hotel Industry Module 03: The Process of Selection and Recruitment in Hospitality Industry Module 04: The Process of Development and Training in Hospitality Industry Module 05: Management of Front Office Operations Module 06: Management of Housekeeping, Engineering and Security Operations Module 07: Management of Food and Beverage Operations Module 08: Management of Service Quality in Hospitality Industry Module 09: Marketing in Travel and Tourism Business Module 10: Accounting in Hospitality Industry Module 11: Customer Satisfaction Module 12: E-Hospitality and Technology (See full curriculum) Who is this course for? Individuals seeking to start a career in hospitality management. Professionals aiming to enhance their expertise in hospitality leadership and operations. Beginners with an interest in the hospitality and tourism industries. Entrepreneurs planning to launch or manage hospitality ventures. Employees wishing to transition into supervisory or management roles within hospitality. Career Path Hotel Manager Front Office Manager Food and Beverage Manager Guest Relations Manager Hospitality Operations Manager Housekeeping Manager Resort Manager Travel and Tourism Consultant Event Coordinator within Hospitality Industry Hospitality and Tourism Marketing Executive

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for technical professionals who support, install, deploy or administer Check Point products. This course is recommended for technical professionals who perform advanced deployment configurations of Check Point products. Overview CCSA Know how to perform periodic administrator tasks. Describe the basic functions of the Gaia operating system. Recognize SmartConsole features, functions, and tools. Understand how SmartConsole is used by administrators to give user access. Learn how Check Point security solutions and products work and how they protect networks. Understand licensing and contract requirements for Check Point security products. Describe the essential elements of a Security Policy. Understand the Check Point policy layer concept. Understand how to enable the Application Control and URL Filtering software. Blades to block access to various applications. Describe how to configure manual and automatic NAT. Identify tools designed to monitor data, determine threats and recognize opportunities for performance improvements. Describe different Check Point Threat Prevention solutions for network attacks. Articulate how the Intrusion Prevention System is configured, maintained and tuned. Understand the Infinity Threat Prevention system. Knowledge about Check Point's IoT Protect. CCSE Provide an overview of the upgrade service and options available. Explain how to perform management upgrade and migration. Articulate the process using CPUSE features. Articulate the purpose and function of Management High Availability. Explain Primary vs Secondary, Active vs Standby and Synchronization. Explain disaster recovery steps in case the primary management server becomes unavailable. Provide overview of Central Deployment in SmartConsole. Articulate an understanding of Security Gateway cluster upgrade methods. Explain about Multi Version Cluster (MVC) upgrades. Discuss Gaia Commands and how they are used. Explain the main processes on s and s. Describe how to work with scripts and SmartTasks to configure automatic actions. Explain the Management Data Plane Separation (MDPS) Explain kernel operations and traffic flow Articulate Dynamic and Updatable Objects in Security Gateways Explain the policy installation flow and files used. Describe the use of policy installation history. Explain concurrent and accelerated install policy. Describe an overview of APIs and ways to use and authenticate. Explain how to make changes in GAIA and management configuration. Explain how to install policy using API. Explain how the SecureXL acceleration technology enhances and optimizes Security Gateway performance. Learn basic concepts and develop skills necessary to administer IT security fundamental tasks. CCSA Outline Configure the Security Management Server. Use the WebUI to run the First Time Wizard. Install the Smart Console. Install the Alpha Gateway using the network detailed in the course topology. Demonstrate how the Security Management Server and Gateway communicate. Test SIC Status. Create multiple administrators and apply different roles and permissions for simultaneous administration. Validate existing licenses for products installed on the network. Create and configure host, network and group objects. Create a simplified Security Policy. Demonstrate how to use Security Zones in policy. Demonstrate how to share a layer between Security Polices. Configure Network Address Translation for server and network objects. Enable Identity Awareness. Deploy user access roles for more granular control of the security Policy. Generate network Traffic and use traffic visibility tools to monitor the data. Use SmartConsole and SmartView Monitor to view status, alerts, and block suspicious traffic. CCSE Outline Prepare for a Security Management Server Upgrade Upgrade the Security Management Server Deploy a Secondary Security Management Server Configure a Distributed Log Server Upgrade a Security Gateway from SmartConsole Work with the Command Line Use Scripts and SmartTasks Configure Dynamic Objects Monitor Traffic Verify Policy Installation and Status Work with Gaia and Management APIs Work with Acceleration Features Configure a Locally Managed Site to Site VPN Configure a Site to Site VPN with an Interoperable Device Configure Remote Access VPN Configure Mobile Access VPN Configure a High Availability Cluster Work with ClusterXL Configure Policy Compliance Deploy SmartEvent

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 3 Days 18 CPD hours This course is intended for This course is ideal for those who regularly deploy or manage Meraki networks and want to deepen their technical expertise and understanding of the full Meraki product suite and features. This may include professionals with job titles or in roles such as: Consulting Systems Engineer Deployment Engineer Network Administrator Network Manager Network Engineer Site Reliability Engineer Systems Engineer Technical Solutions Architect Wireless Design Engineer Wireless Engineer Overview After completing the course, you should be able to: Plan new Cisco Meraki architectures and expand existing deployments Design the network for scalable management and high availability Describe how to automate and scale Meraki deployments with dashboard tools Use dynamic routing protocols to expand networks and improve WAN performance Describe proper QoS, policy and performance-based routing configurations across a Cisco Meraki network and WAN optimization through traffic shaping Describe Virtual Private Network (VPN) and Wide Area Network (WAN) topologies and how to integrate them Secure, expand, and shape the network Implement switched network concepts and practices, and configure guests networks Implement wireless configurations concepts and practices Describe endpoint management concepts and practices using Cisco Meraki Systems Manager Describe physical security concepts and practices Gain network insight by monitoring applications Describe how to prepare monitoring, logging, and alerting services Set up reporting and auditing capabilities in the Cisco Meraki dashboard Monitor and troubleshoot issues using Cisco Meraki tools The course, Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 elevates your knowledge of Cisco© Meraki? technology suite. In this advanced technical training course, you?ll learn how to plan for network deployments and integrations using the Cisco Meraki platform. Through practical hands-on instruction and experiences, you will learn how to operate Meraki networks and troubleshoot complex network incidents using the Meraki Dashboard and analytics. You will also learn how to design Meraki architectures for redundancy, high-density, and scalability by implementing comprehensive Meraki product features to meet design objectives. This course is the second of two courses that prepares you for Cisco Meraki certification. Course Outline Planning new Cisco Meraki architectures and expanding existing deployments Designing for scalable management and high availability Automating and scaling Meraki deployments Designing routing and practices on the Meraki platform Describing Quality of Service (QoS) and traffic shaping design Building VPN and WAN topologies Securing, expanding, and shaping the network Describing network concepts and practices Implementing wireless configuration practices and concepts Describing Endpoint management concepts and practices Describing physical security concepts and practices Gaining network insight through monitoring applications Preparing monitoring, logging, and alerting services Setting up reporting and auditing capabilities in the Cisco Meraki Dashboard Gaining visibility and resolving issues using Meraki features and built-in troubleshooting tools Additional course details: Nexus Humans Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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 Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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 The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Who is this course for? The Interior Design Visualization Professional Certificate is perfect for individuals aspiring to launch their interior design business. Learn essential skills in AutoCAD, SketchUp, Photoshop, InDesign, Vray, and 3ds Max. If you prefer to book over the phone, simply call 02077202581. Click here for more info: Website Duration: 120 hours. 1-on-1 Training. When can I book: (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking). Module 1: Introduction to Interior Design Visualization (4 hours) Understanding the Significance of Visualization in Interior Design Familiarity with Software Used: AutoCAD, 3ds Max, SketchUp, V-Ray, Photoshop, and InDesign Workflow Overview and Best Practices for Interior Design Visualization Module 2: AutoCAD for Interior Design (16 hours) Basics of AutoCAD and Its Interface Utilizing Drawing and Editing Tools for Accurate Floor Plans and Elevations Creating and Modifying 2D and 3D Objects Application of Layers, Line Types, and Hatches for Clarity Precision in Measurements and Annotations Module 3: 3ds Max for Interior Design (16 hours) Introduction to 3ds Max Interface Furniture, Fixtures, and Architectural Element Modeling Techniques Material and Texture Application for Realism Lighting Strategies for Interior Scenes V-Ray Introduction for High-Quality Rendering Scene Setup and Camera Placement for Effective Visualization Module 4: SketchUp for Interior Design (12 hours) Introduction to SketchUp and Its Interface Creating 3D Models of Interiors, Furniture, and Objects Enhancing Visuals with Materials and Textures Efficient Use of SketchUp Plugins and Extensions Seamless File Exchange Between SketchUp and Other Software Module 5: V-Ray for Interior Design Rendering (12 hours) Principles of Photorealistic Rendering Installation and Setup of V-Ray in 3ds Max and SketchUp Configuring V-Ray Settings for Optimal Rendering Advanced Material Application for Realistic Surfaces Lighting Techniques for Atmosphere and Mood Creation Module 6: Photoshop for Interior Design Visualization (12 hours) Introduction to Photoshop Interface Image Enhancement: Color, Contrast, and Saturation Adjustments Post-Processing Effects for a Polished Look Integration of 2D Elements like Textures and Patterns Creating Composite Images Using Multiple Render Passes Module 7: InDesign for Portfolio Presentation (8 hours) Introduction to InDesign Interface Designing a Visually Appealing Portfolio Layout Effective Organization and Presentation of Interior Design Visualizations Integration of Images, Text, and Graphics for Cohesive Portfolios Portfolio Export for Print and Digital Distribution Module 8: Project Work and Final Presentation (4 hours) Application of Learned Skills on a Comprehensive Interior Design Visualization Project Refinement and Polish under Instructor's Guidance Preparation and Delivery of Final Presentation Showcasing the Project Note: The course outline encompasses 80 instructional hours. The actual duration may vary based on class pace and additional practice and project work. Final Project (With Full-Time Tutor Assistance): Students will develop and present their best work in a final presentation at the end of the course. Projects are to be submitted via email to training@realanimationworks.com, and timely submission is crucial to avoid delays or interruption of sessions. Please be aware: Failure to attend a session or notify us of absence within 48 hours of the session time results in session loss and full class fee charges due to the personalized nature of the sessions. Students can request breaks or extended pauses by providing written notice through email. Benifits and Jobs after this course: Master Design Tools: Proficiency in AutoCAD, 3ds Max, SketchUp, V-Ray, Photoshop, and InDesign for interior design visualizations. Advanced 3D Skills: Expertise in detailed 3D modeling, realistic rendering, and precise lighting techniques. Portfolio Development: Create compelling portfolios using InDesign, blending images and text professionally. Career Opportunities: Interior Visualization Specialist 3D Modeler Architectural Visualizer Interior Design Consultant Digital Content Creator Freelance Interior Visualizer Virtual Reality Designer Educator/Trainer Certificate Program in Interior Design Visualization: Maintain a dedicated notebook for effective organization of study notes. Schedule makeup sessions for missed coursework, subject to available time slots. Keep detailed records and create a specialized design folder to monitor progress and nurture creative ideas. Allocate focused time for self-guided practice and project work. Receive certification from our esteemed professional design team upon successful completion of the program. Post-Program Achievements: Upon completion of the certificate program, you will: Gain confidence in software proficiency and a strong understanding of underlying principles. Demonstrate the ability to create high-quality visual representations for architectural and interior design projects. Feel well-prepared for career opportunities, backed by your software expertise. Ongoing Support: We are pleased to offer lifelong complimentary email and phone support, ensuring swift assistance with any inquiries or challenges you may face. Software Access: Access to necessary software is available via download from the developer's website or at student-friendly rates. Please note that student software usage is limited to non-commercial projects. Payment Flexibility: Choose from various payment options including internet bank transfers, credit cards, debit cards, and PayPal. Additionally, we offer installment plans tailored to our students' needs.

Duration 5 Days 30 CPD hours This course is intended for Security Professionals Incident Handling Professionals Anyone in a Security Operations Center Forensics Experts Cybersecurity Analysts Overview Our Certified Cyber Security Analyst course helps you prepare an organization to create a complete end to end solution for proactively monitoring, preventing, detecting, and mitigating threats as they arise in real time. Do not fool yourself, this course is far more advanced than you may expect. It is fast paced and thorough, so you can enjoy a well-rounded experience. Be ready to dig deep into the details of security analysis for today's needs. When we are done you will be able to setup and deploy state of the art open source and for purchase analysis tools, intrusion detection tools, syslog servers, SIEMs, along with integrating them for the entire company to find and an many cases prevent today's exploits. This course maps to the mile2 Certified Cyber Security Analyst Exam as well as the CompTIA CySA+CS0-001 certification exam. Our Certified Cyber Security Analyst course helps you prepare an organization to create a complete end to end solution for proactively monitoring, preventing, detecting, and mitigating threats as they arise in real time.Do not fool yourself, this course is far more advanced than you may expect. It is fast paced and thorough, so you can enjoy a well-rounded experience. Be ready to dig deep into the details of security analysis for today?s needs.When we are done you will be able to setup and deploy state of the art open source and for purchase analysis tools, intrusion detection tools, syslog servers, SIEMs, along with integrating them for the entire company to find and an many cases prevent today?s exploits.This course maps to the mile2 Certified Cyber Security Analyst Exam as well as the CompTIA CySA+CS0-001 certification exam. Blue Team?Principles Network Architecture?and how it lays the groundwork Defensive Network Security Data Locations?and how they tie together Security?Operations?Center The People, Processes, and Technology Triage and Analysis Digital Forensics Incident Handling Vulnerability Management Automation, Improvement, and Tuning Digital?Forensics Investigative Theory and?Processes Digital Acquisition Evidence Protocols Evidence Presentation Computer Forensics?Laboratory Protocols Processing Techniques Specialized?Artifacts Advanced Forensics for Today?s?Exploitations Malware Analysis Creating the Safe Environment Static Analysis Dynamic Analysis Behavior Based Analysis What is different about?Ransomware? Manual Code Reversing Traffic Analysis Manual Analysis Principles Automated?Analysis Principles Signatures?compared to?Behaviors Application Protocols Analysis Principles Networking Forensics Assessing the Current State of Defense with the?Organization Network Architecture and Monitoring Endpoint Architecture and Monitoring Automation, Improvement, and continuous?monitoring Leveraging SIEM for Advanced Analytics Architectural Benefits Profiling and?Baselining Advanced Analytics Defeating the Red Team with Purple Team tactics Penetration Testing?with full knowledge Reconnaissance Scanning Enumeration Exploitation Lateral Movement Additional course details: Nexus Humans C)CSA: Cybersecurity Analyst Mile 2 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 C)CSA: Cybersecurity Analyst Mile 2 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 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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.

Course Overview This course offers a comprehensive introduction to the role of estate agents, focusing on key industry skills and knowledge. Learners will gain an in-depth understanding of the property market, various types of estate agents, and the steps involved in buying, selling, and letting properties. The course also highlights the importance of negotiation, valuation, and regulation within the estate agency sector, equipping learners with the tools required to succeed in a competitive industry. By the end of the course, learners will have the practical skills and confidence to embark on a career in estate agency, whether in sales or lettings. Course Description Throughout this course, learners will explore core estate agent functions, including property listing, negotiation, valuation, and selling techniques. The course will cover different estate agent specialisms, such as sales, lettings, and property management, along with the technology used in the industry. Additionally, learners will gain a strong understanding of the regulatory environment governing estate agents in the UK. They will learn about market trends, customer service skills, and effective communication, equipping them with the expertise necessary to excel in the sector. The curriculum ensures that learners are well-prepared for the challenges of the real estate industry, with clear, actionable steps for career progression. Course Modules Module 01: Estate Agent: An Introduction Module 02: Different Types of Estate Agents Module 03: Getting Started on the Job Module 04: Listing Property - Finding the Sellers Module 05: Valuation Process Module 06: Negotiating as Estate Agent Module 07: Selling Property - Finding the Buyers Module 08: Letting Property Module 09: Technology for Estate Agents Module 10: Regulation of Estate Agents (See full curriculum) Who is this course for? Individuals seeking to start a career in estate agency. Professionals aiming to advance in the property market. Beginners with an interest in property sales and lettings. Those looking to understand the regulatory framework of estate agents. Career Path Estate Agent Property Manager Lettings Agent Property Valuer Real Estate Consultant Sales and Lettings Negotiator

Duration 3 Days 18 CPD hours This course is intended for This course is intended for IT professionals who need to manage the day-to-day environment of an SCCM 2012 SP1 or newer environment. Knowledge of the workings of a standalone primary SCCM site and basic PowerShell experience is recommended. Overview Create additional site system roles on existing or new servers. Modify high level site settings. Create and modify Discovery Methods, Boundaries and Boundary Groups. Create Collections using any of the membership rules available. Delegate authority through Roles and Scopes. Install the Configuration Manager client, modify client settings and restrict access to site systems. Deploy software to clients. Deploy software updates to clients. Configure compliance settings targeted against collections. Modify settings that govern monitoring functions such as Alerts and Status Settings. Work with Task Sequences for Operating System Deployment. Write basic PowerShell scripts using cmdlets learned and scripting constructs to accomplish configuration tasks. This course provides students with the knowledge and skills needed to use PowerShell for System Center Configuration Manager (SCCM) administration. In this course, students learn how to access the PowerShell cmdlets included with SCCM 2012 R2 and use them to perform configuration tasks for a primary site. Individual cmdlets will be used in working with objects such as Boundaries, Boundary Groups, Collections, Software Deployment, Patching, Compliance Settings, OSD Task Sequences, and many others. Basic scripting will also be covered so that students can learn how to put PowerShell to use when working with large sets of objects. Prerequisites Basic Windows and Active Directory knowledge. Conceptual knowledge of Configuration Manager objects and how they interact. Basic experience performing configuration tasks in ECM using the graphical console. Experience working from a command prompt. Basic knowledge of the fundamentals of Windows PowerShell. 1 - REVIEW OF SYSTEM CENTER CONFIGURATION MANAGER CONCEPTS Architecture of an System Center 2012 Configuration Manager Installation Managing Assets Content Delivery and Management Security, Monitoring, and Remote Management 2 - MANAGING RESOURCES Implementing Discovery Organizing Resources with Collections Working with Boundaries 3 - WORKING WITH CLIENTS Installing the Configuration Manager Client Managing Client Settings Managing Client Operations Monitoring Client Status 4 - DISTRIBUTING SOFTWARE Configure the Software Distribution Components Working with Distribution Points Creating Content for Distribution Deploying Software Applications 5 - UPDATING SYSTEMS WITH WSUS AND SCCM Integrating Configuration Manager and WSUS Managing Updates through Software Update Groups Creating and Deploying Update Packages Working with Automatic Deployment Rules 6 - HOW POWERSHELL CAN MANAGE COMPLIANCE SETTINGS Creating Compliance Settings Objects Deploying and Monitor the Baseline 7 - CONFIGURING OPERATING SYSTEM DEPLOYMENT OBJECTS Preparing the OSD Environment Working with Task Sequences 8 - WORKING AT THE SITE LEVEL Modify the Site Adding Site System Roles Adding a Secondary Site 9 - SECURITY AND MONITORING Configuring Role Based Administration Implementing Endpoint Protection Configuring Monitoring Options 10 - USING POWERSHELL SCRIPTING TO AUTOMATE SCCM TASKS Review of Scripting Constructs Introduction to the Configuration Manager WMI Classes