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Infection and Prevention Control Course Overview: This Infection and Prevention Control course provides a comprehensive understanding of infection control principles, offering learners essential knowledge for maintaining health and safety standards in various settings. The course covers the key concepts of infection prevention, from the body’s defence mechanisms to sterilisation techniques, and explores how infections can be effectively controlled in both healthcare and non-healthcare environments. Learners will gain a solid foundation in the core methods used to prevent the spread of infection and understand the importance of hygiene and decontamination practices. By the end of the course, participants will be well-prepared to implement effective infection control strategies in their professional roles, ensuring safer environments for both workers and the public. Course Description: This course offers an in-depth exploration of infection control, covering a wide range of topics that are essential for preventing the spread of infections. Learners will begin with an introduction to infection, followed by a detailed examination of the body’s defence mechanisms and the various microorganisms responsible for causing illness. The course also delves into bloodborne pathogens, decontamination, disinfection, and sterilisation techniques, equipping learners with the skills necessary to control infection effectively. Hygiene practices, including personal and environmental hygiene, are also thoroughly discussed. Throughout the course, learners will engage with theoretical concepts and acquire the knowledge needed to develop and implement infection control policies in various settings, such as healthcare, hospitality, and other industries. Upon completion, learners will be able to manage infection risks and contribute to safer environments, enhancing their professional development in infection prevention. Infection and Prevention Control Curriculum Module 01: Introduction to Infection Module 02: Body’s Defence Mechanism Module 03: Microorganisms and Microbiology Module 04: Bloodborne Pathogens Module 05: Controlling Infection Module 06: Decontamination and Disinfection Module 07: Sterilisation Techniques Module 08: Hygiene to Prevent Infection (See full curriculum) Who is this course for? Individuals seeking to understand infection prevention and control. Professionals aiming to improve their infection control knowledge and practice. Beginners with an interest in healthcare, hygiene, or infection control. Anyone involved in health and safety management in various industries. Career Path: Infection Control Officer Health and Safety Manager Healthcare Assistant Environmental Health Officer Sterilisation Technician Infection Prevention and Control Consultant

Duration 3 Days 18 CPD hours This course is intended for Developers Architects Administrators Overview By the end of the course, you should be able to meet the following objectives: Install and configure RabbitMQ Activate and use plugins such as the web management console Implement messaging patterns and applications using the Java client Set up a cluster of RabbitMQ nodes Configure high availability appropriately Tune and optimize RabbitMQ for better performance Secure RabbitMQ This intensive instructor-led course in RabbitMQ provides a deep dive into how to install, configure, and develop applications which leverage RabbitMQ messaging. The course begins with RabbitMQ installation and general configuration. It continues with developing messaging applications using the Java APIs, and delves into more advanced topics including clustering, high availability, performance, and security. Modules are accompanied by lab exercises that provide hands-on experience Introduction to Spring Essentials Kubernetes Overview BOSH Introduction Deploy, Patch & Upgrade Deploy a simple release Inside the VM Persistent Disks Patch the OS Upgrade Nginx Entry Point Set up a jumpbox Platform Infrastructure Pave the IaaS Deploy ops manager Deploy BOSH director Containerized Workloads Deploy Pivotal Container Service Provision a Kubernetes Cluster Harbor Container Registry Application Deployment Helm Advanced BOSH Deploy a distributed system Deploy Concourse CredHub Troubleshooting Concourse Deployment Concourse Day 2 Operations

Duration 2 Days 12 CPD hours This course is intended for Authors Overview Please refer to course overview This course teaches experienced authors advanced report building techniques to enhance, customize, manage, and distribute reports. Additionally, the student will learn how to create highly interactive and engaging reports that can be run offline by creating Active Reports. Create query models Build a query and connect it to a report Answer a business question by referencing data in a separate query Create reports based on query relationships Create join relationships between queries Combine data containers based on relationships from different queries Create a report comparing the percentage of change Introduction to dimensional reporting concepts Examine data sources and model types Describe the dimensional approach to queries Apply report authoring styles Introduction to dimensional data in reports Use members to create reports Identify sets and tuples in reports Use query calculations and set definitions Dimensional report context Examine dimensional report members Examine dimensional report measures Use the default measure to create a summarized column in a report Focus your dimensional data Focus your report by excluding members of a defined set Compare the use of the filter() function to a detail filter Filter dimensional data using slicers Calculations and dimensional functions Examine dimensional functions Show totals and exclude members Create a percent of base calculation Create advanced dynamic reports Use query macros Control report output using a query macro Create a dynamic growth report Create a report that displays summary data before detailed data and uses singletons to summarize information Design effective prompts Create a prompt that allows users to select conditional formatting values Create a prompt that provides users a choice between different filters Create a prompt to let users choose a column sort order Create a prompt to let users select a display type Examine the report specification Examine report specification flow Identify considerations when modifying report specifications Customize reporting objects Distribute reports Burst a report to email recipients by using a data item Burst a list report to the IBM Cognos Analytics portal by using a burst table Burst a crosstab report to the IBM Cognos Analytics portal by using a burst table and a master detail relationship Enhance user interaction with HTML Create interactive reports using HTML Include additional information with tooltips Send emails using links in a report Introduction to IBM Cognos Active Reports Examine Active Report controls and variables Create a simple Active Report using Static and Data-driven controls Change filtering and selection behavior in a report Create interaction between multiple controls and variables Active Report charts and decks Create an Active Report with a Deck Create an Active Report with 11.0 visualizations

Duration 5 Days 30 CPD hours This course is intended for Channel Partner / Reseller Customer Employee Overview At course completion students will be able to: - Explain the need for QoS, describe the fundamentals of QoS policy, and identify and describe the different models that are used for ensuring QoS in a network - Explain the use of MQC and AutoQoS to implement QoS on the network and describe some of the mechanisms used to monitor QoS implementations - Given a converged network and a policy defining QoS requirements, classify and mark network traffic to implement the policy - Use Cisco QoS queuing mechanisms to manage network congestion - Use Cisco QoS congestion avoidance mechanisms to reduce the effects of congestion on the network - Use Cisco QoS traffic policing and traffic shaping mechanisms to effectively limit the rate of network traffic - Given a low speed WAN link, use Cisco link efficiency mechanisms to improve the badwidth efficiency of the link - Describe the recommended best practices and methods used for end-to-end QoS deployment in the enterprise This course provides students with knowledge of IP QoS requirements, conceptual models such as best effort, IntServ, and DiffServ, and the implementation of QoS on Cisco platforms. Introduction to QoS Review Converged Networks Understand QoS Describe Best-Effort and Integrated Services Models Describe the Differentiated Services Model Module Summary Module Self-Check Implement and Monitor QoS MQC Introduction Monitor QoS Define Campus AutoQoS Define WAN AutoQoS Module Summary Module Self-Check Lab 2-1: IP SLA Setup and QoS Baseline Measurement Lab 2-2: Configuring QoS with Cisco AutoQoS Classification and Marking Classification and Marking Overview Case Study 3-1: Classification and Marking MQC for Classification and Marking NBAR for Classification Use of QoS Preclassify Campus Classification and Marking Module Summary Module Self-Check Lab 3-1: Classification and Marking Using MQC Lab 3-2: Using NBAR for Classification Lab 3-3: Configuring QoS Preclassify Lab 3-4: Campus Classification and Marking Using MQC Congestion Management Queuing Introduction Configure WFQ Configure CBWFQ and LLQ Configure Campus Congestion Management Module Summary Module Self-Check Lab 4-1: Configuring Fair Queuing Lab 4-2: Configuring LLQ-CBWFQ Lab 4-3: Configuring Campus-Based Queuing Mechanisms Congestion Avoidance Congestion Avoidance Introduction Configure Class-Based WRED Case Study 5-1: WRED Traffic Profiles Configure ECN Describe Campus-Based Congestion Avoidance Module Summary Module Self-Check Lab 5-1: Configuring DSCP-Based WRED Lab 5-2: Configuring WTD Thresholds Traffic Policing and Shaping Traffic Policing and Shaping Overview Configure Class-Based Policing Campus Policing Configure Class-Based Shaping Configure Class-Based Shaping on Frame Relay Interfaces Configure Frame Relay Voice-Adaptive Traffic Shaping and Fragmentation Module Summary Module Self-Check Lab 6-1: Configuring Class-Based Policing Lab 6-2: Configuring Class-Based Shaping Link Efficiency Mechanisms Link Efficiency Mechanisms Overview Configure Class-Based Header Compression Configure LFI Module Summary Module Self-Check Lab 7-1: Configuring Class-Based Header Compression Lab 7-2: Configuring LFI Deploying End-to-End QoS Apply Best Practices for QoS Policy Design End-to-End QoS Deployments Module Summary Module Self-Check Lab 8-1: Mapping Enterprise QoS Policy to the Service Provider Policy Additional course details: Nexus Humans Cisco Implementing Cisco Quality of Service v2.5 (QOS) 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 Quality of Service v2.5 (QOS) 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 Overview How to implement advanced administration concepts such as backups, disaster recovery, scalability and redundancy for a Citrix Virtual Apps and Desktop 7 Site. Advanced troubleshooting techniques to troubleshoot Citrix Virtual Apps and Desktop 7. Security considerations and configurations for Citrix Apps and Desktop 7 site including multi-site management using zones. Install and initialize WEM and integrate into Citrix Virtual Apps and Desktops and Citrix DaaS. Configure WEM features to improve the end user environment and virtual resource consumption. Migrate an on-premises WEM deployment to WEM service Designed for experienced IT professionals, this course builds on the foundational implementation and management skills introducing scalability, redundancy, and security configurations. You will learn to build to implement Workspace Environment Management to improve logon times, centralize user settings management, and optimize the performance of machines. In the advanced troubleshooting section, you will learn techniques to investigate many of the common issues that can affect environment health and how to solve issues more effectively. You will leave this course with a good understanding of how to manage more complex solutions such as multi-location environments with configurations around StoreFront, the Delivery Controllers, Cloud Connectors, and HDX. Module 1: Introduction to Citrix Virtual Apps and Desktops 7 Advanced Configuration Citrix Virtual Apps and Desktops Deployments - Advanced Configuration Module 2: Planning: Redundancy and Scalability Citrix Virtual Apps and Desktops Redundancy and Scalability StoreFront and Citrix Gateway Redundancy and Scalability Site Infrastructure Redundancy and Scalability Machines Running the Virtual Delivery Agent Module 3: Planning: Virtual Apps and Desktops Environment with Multiple Locations Zones VDA Registration in a Multi-Zone Environment Zone Preference Optimal Gateway Routing and Zones StoreFront Resource Aggregation Managing StoreFront Store Subscriptions in a Multi-Location Environment Module 4: Planning: Backups and Disaster Recovery Backups Disaster Recovery Considerations Disaster Recovery Process Module 5: Planning: Advanced Authentication Methods Multi-factor Authentication - RADIUS and One Time Passwords (OTP) Multi-factor Authentication ? Smart Card Authentication Federated Authentication Module 6: Planning: App and Data Security Introduction to Application Security Preventing Jailbreak Attacks Minimizing the Impact of Attacks Module 7: Planning: Virtual Delivery Agent Security Transport Layer Security (TLS) Virtual Delivery Agent (VDA) Encryption Microsoft Group Policy Objects (GPOs) and Citrix Policies Image Management Module 8: Introduction to Troubleshooting Troubleshooting Methodology Resource Tools and Utilities Introduction to PowerShell Module 9: Troubleshoot Access Issues Troubleshooting StoreFront Citrix ADC and Citrix Gateway ? Workflow and Troubleshooting Overview Citrix ADC and Citrix Gateway - Troubleshooting Access and Authentication Citrix ADC and Citrix Gateway - Troubleshooting App/Desktop Launch Module 10: Troubleshoot Delivery Controller Issues Validating FlexCast Management Architecture (FMA) Services Module 11: Troubleshoot Virtual Delivery Agent (VDA) Registration Issues Troubleshooting Virtual Delivery Agent (VDA) Registration Module 12: Troubleshoot HDX Connection Issues Troubleshooting HDX Connections Module 13: Introduction to Workspace Environment Management (WEM) WEM Features and Benefits Module 14: Planning ? WEM Architecture and Component Communications WEM On-Premises Components and Deployments WEM Service Components and Deployments WEM Component Communication Workflows Module 15: Planning - WEM On-Premises Deployment Installation On-Premises WEM: Leading Practice Installation Prerequisites and Steps On-Premises WEM: ADMX Template Configuration Choosing a Security Principal to run the WEM Infrastructure Service Creating the WEM Database Running the WEM Infrastructure Service Configuration Utility On-Premises WEM: Agent Installation Module 16: Planning ? WEM Service Deployment Installation WEM On-Premises vs WEM Service WEM Service: Leading Practice Installation Prerequisites and Steps WEM Service: ADMX Template Configuration WEM Service: Agent Installation Module 17: Planning ? WEM Consoles and Initial Setup On-Premises WEM and WEM Service Consoles WEM Initial Setup Migrating GPO settings to WEM Module 18: Planning ? WEM System and Log On Optimization WEM System Optimization Overview WEM CPU Management WEM Memory Management Additional System Optimization Features WEM Log On Optimization Overview WEM Assigned Actions WEM Environmental Settings Citrix Profile Management In WEM Module 19: Planning ? WEM Security and Lockdown Features WEM Security Management Features Privilege Elevation and Process Hierarchy Control WEM Transformer Module 20: Planning - The WEM Agent WEM Settings Processing and WEM Agent Caches WEM Agent Integration with Citrix Virtual Apps and Desktops and Citrix DaaS Module 21: Planning ? WEM Monitoring, Reporting, and Troubleshooting WEM Monitoring and Reporting WEM Agent Troubleshooting WEM Service Troubleshooting Module 22: Planning ? Upgrading WEM and Migration to WEM Service Upgrading Workspace Environment Management WEM On-Premises Migration to WEM Service Module 23: Rolling Out a WEM Deployment WEM Agent User Options on Windows Desktops Module 24: Managing a WEM Deployment Measuring WEM Success Additional course details: Nexus Humans CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration 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 CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration 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 technical professionals who need to know how to deploy a Cisco Integrated Threat Defense solution in their network environment. The primary audience for this course includes: Systems and network engineersTechnical architectsTechnical support personnelChannel partners and resellers Overview After completing this course, you should be able to: Describe the current network security landscape and the Cisco Integrated Threat Defense (ITD) solutionDescribe the key components of the ITD solution and their use in the networkConfigure the ISE for a baseline of operation in the ITD solutionConfigure the integration between the Stealthwatch and ISE platformsConfigure the integration between the Cisco Firepower and ISE platformsConfigure the integration between Cisco Firepower and AMP for Endpoints This course begins with an analysis of the current cybersecurity landscape and includes details on why networks today need an integrated threat defense architecture. You will integrate and verify proper operation of the key Cisco Integrated Threat Defense products, including Cisco Identity Services Engine (ISE), Cisco Stealthwatch©, Cisco Firepower© NGFW, and Cisco AMP for Endpoints. Verification includes the introduction of malware into the network to ensure proper identification, analysis, and quarantine. Course Outline Integrated Threat Defense Introduction Itd Products Identity Services Engine Setup Integration Of Stealthwatch With Identity Services Engine Integration Of Firepower With Identity Services Engine Integration Of Firepower With Amp For Endpoints

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

Business Management Course Overview This Business Management course provides learners with a comprehensive understanding of key management concepts and practices. Covering essential topics such as operations, business analysis, strategic planning, and risk management, the course equips learners with the necessary tools to handle various aspects of business management effectively. Through a blend of theoretical insights and applied learning, learners will develop the confidence to manage business operations, drive strategic growth, and navigate organisational challenges. The course is designed to provide value to individuals seeking to advance their management skills and progress in their careers. Course Description This course delves deeply into the core aspects of business management, providing a structured approach to understanding business operations, leadership, and decision-making. Learners will explore modules on business analysis, strategic management, and project development, as well as gain valuable skills in managing risk, performance, and human resources. The course covers critical areas including planning, forecasting, communication, and conflict management. By the end of the course, learners will have a broad understanding of how businesses operate and will be able to apply their learning to various management scenarios. Designed for those looking to enhance their management skills, the course ensures that learners gain a solid foundation in business management principles. Business Management Curriculum Module 01: Introduction to Business Management Module 02: Operations Management Module 03: Introduction to Business Analysis Module 04: Strategic Analysis and Product Scope Module 05: Project Management Module 06: Business Development and Succession Planning Module 07: Business Process Management Module 08: Planning & Forecasting Operations Module 09: Performance Management Module 10: Management of Cash and Credit Module 11: Managing Risk and Recovery Module 12: Quality Management Module 13: Communication Skills Module 14: Business Environment Module 15: Organisational Skills Module 16: Negotiation Techniques Module 17: Human Resource Management Module 18: Motivation and Counselling Module 19: Customer Service Module 20: Time Management Module 21: Conflict Management (See full curriculum) Who is this course for? Individuals seeking to build a career in business management. Professionals aiming to enhance their management and leadership skills. Beginners with an interest in business operations and management. Those looking to progress in roles related to business analysis, human resources, or strategic planning. Career Path Business Manager Operations Manager Project Manager HR Manager Strategic Planner Financial Analyst Customer Service Manager Risk Manager Organisational Development Specialist Performance Manager

Diploma in Data Analysis Fundamentals Course Overview The Diploma in Data Analysis Fundamentals provides a comprehensive introduction to the core principles and techniques used in data analysis. Throughout this course, learners will explore various data analysis tools and methods, such as Pareto charts, histograms, and control charts, to gain insights into processes and performance. By focusing on key data analysis skills, including identifying variation and interpreting results, this course empowers learners to use data-driven approaches to improve business processes. Upon completion, learners will have the ability to assess and present data effectively, enabling informed decision-making in a wide range of industries. Course Description This course covers essential topics in data analysis, including the principles of process management, tools for data analysis, and methods to interpret and present performance data. Learners will delve into key techniques such as Pareto charts, histograms, run charts, and control charts, focusing on how to use these tools to identify patterns, variations, and areas for improvement. The course also includes a structured approach to performance measurement and provides exercises to reinforce the theoretical knowledge gained. By the end of the course, learners will be equipped with the skills to analyse data, identify trends, and contribute to process improvement initiatives within their organisations. Diploma in Data Analysis Fundamentals Curriculum Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to improve decision-making through data insights. Beginners with an interest in process improvement and business analysis. Data enthusiasts looking to build a solid foundation in analysis techniques. Career Path Data Analyst Business Intelligence Analyst Process Improvement Specialist Operations Analyst Quality Control Analyst

Excel Data Analysis Course Overview The Excel Data Analysis course is designed to equip learners with the essential skills needed to analyse and interpret data using Microsoft Excel. This course covers a range of tools and techniques that are vital for processing, summarising, and visualising data. Learners will explore functions, pivot tables, charts, and data manipulation strategies that will enable them to work efficiently with data sets. By the end of the course, learners will be able to transform raw data into meaningful insights, making it an invaluable skill for professionals across various industries. Whether you're looking to improve your data skills or progress in your career, this course offers the foundational knowledge required for data analysis in Excel. Course Description This course delves into the core aspects of Excel Data Analysis, starting with basic functions and advancing to complex data manipulation techniques. Learners will explore how to create and manage pivot tables, perform data filtering, and apply functions such as VLOOKUP and INDEX MATCH. Visualisation tools like charts and graphs will be covered, enabling learners to present their findings in a clear and impactful way. Additionally, learners will be introduced to data modelling, conditional formatting, and advanced formula techniques that will enhance their data analysis capabilities. The course is structured to provide a comprehensive understanding of Excel’s data analysis features, building competency for a wide range of practical applications in both personal and professional settings. Excel Data Analysis Curriculum Module 01: Introduction to Excel for Data Analysis Module 02: Using Excel Functions for Data Manipulation Module 03: Working with Pivot Tables and Pivot Charts Module 04: Data Visualisation: Creating Charts and Graphs Module 05: Advanced Excel Functions for Complex Data Analysis Module 06: Data Filtering and Sorting Techniques Module 07: Conditional Formatting for Data Insights Module 08: Introduction to Data Modelling and Forecasting Module 09: Data Analysis Best Practices and Case Studies (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to advance in data-centric roles. Beginners with an interest in data analysis and Excel. Anyone looking to improve their Excel knowledge for career development. Career Path Data Analyst Business Analyst Financial Analyst Marketing Analyst Operations Manager Administrative Assistant Project Manager Research and Development Analyst