4477 Analyst courses

In a world where our lives are increasingly online, network security is more important than ever. This Computer Network Security from Scratch to Advanced course will teach you everything you need to know about computer network security, from the basics of how networks work to the most advanced security technologies. In this course, you will learn about the ISO/OSI model and TCP/IP protocols, gaining a solid foundation in understanding how data is transmitted across networks. You will then explore wireless networks, learning about their vulnerabilities and how to secure them effectively.  Our expert instructors will guide you through the complex world of network security, covering essential concepts such as firewalls, intrusion detection and prevention systems, and incident handling. Overall, You will develop practical skills in securing computer networks.  By the end of this course, you will have the confidence and knowledge to safeguard networks against potential threats. This will make you an invaluable asset to any organisation. So don't miss out on this opportunity to enhance your coding prowess and become a master in computer network security. Enrol today and unlock a world of exciting possibilities! Learning Outcomes: Upon successful completion of the Computer Network Security course, you will be able to: Understand the fundamentals of computer networks and their components. Gain in-depth knowledge of the ISO/OSI model and TCP/IP protocols. Identify and mitigate security vulnerabilities in wireless networks. Implement effective network security measures, including firewalls and honeypots. Utilise intrusion detection and prevention systems to safeguard networks. Develop expertise in securing wireless networks against unauthorised access. Acquire skills in physical security and incident handling for network protection. Apply comprehensive network security strategies to ensure data integrity and confidentiality. Who is this course for? This Computer Network Security course is ideal for: IT professionals seeking to enhance their knowledge of network security. Students pursuing a career in cybersecurity or network administration. Software developers interested in understanding the intricacies of computer networks. Network engineers aiming to specialise in network security. Individuals responsible for maintaining the security of organisational networks. Career Path Our Computer Network Security course will prepare you for a range of careers, including: Network Security Analyst: £35,000 - £60,000 per year. Cybersecurity Specialist: £45,000 - £80,000 per year. Network Administrator: £30,000 - £50,000 per year. IT Security Consultant: £40,000 - £80,000 per year. Information Security Manager: £50,000 - £100,000 per year. Network Security Engineer: £40,000 - £70,000 per year. Certification After studying the course materials of the Computer Networks Security from Scratch to Advanced there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Computer Networks Security from Scratch to Advanced does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Computer Networks Security from Scratch to Advanced was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Course Curriculum Introduction Introduction 00:10:00 Section 01: An Introduction to Computer Networks 1.1 Computer Network 00:11:00 1.2 Computer Network Topologies 00:11:00 1.3 Categories of Computer Network 00:10:00 1.4 Computer Network Devices 00:11:00 1.5 Transmission Media 00:09:00 Section 02: ISO/OSI Model 2.1 ISO/OSI Model 00:10:00 2.2 Application, Presentation, and Session Layers 00:12:00 2.3 Transport and Network Layers 00:11:00 2.4 Data Link and Physical Layers 00:09:00 2.5 ISO/OSI Model in Action 00:10:00 Section 03: TCP/IP Protocols 3.1 Introduction to Computer Networks Protocols 00:11:00 3.2 IP Protocol 00:13:00 3.3 TCP and UDP Protocols 00:12:00 3.4 Application Protocols 00:12:00 3.5 TCP/IP Characteristics and Tools 00:11:00 Section 04: Wireless Networks 4.1 Wireless Networks Benefits 00:09:00 4.2 Types of Wireless Networks 00:12:00 4.3 Wireless Networks Protocol (Wi-Fi) 00:07:00 4.4 Wireless Networks Devices 00:10:00 4.5 Wireless Networks Drawbacks 00:09:00 Section 05: Network Security 5.1 Security Goals 00:09:00 5.2 Securing the Network Design 00:10:00 5.3 TCP/IP Security and Tools 00:12:00 5.4 Port Scanning and Tools 00:11:00 5.5 Sniffing and Tools 00:10:00 Section 06: Firewalls and Honeypots 6.1 Reasons to Use Firewall 00:13:00 6.2 Firewalls Rules 00:11:00 6.3 Firewalls Filtering 00:09:00 6.4 Honeypots 00:07:00 6.5 Bypassing Firewalls 00:08:00 Section 07: Intrusion Detection and Prevention System 7.1 Intrusion Detection System: IDS 00:11:00 7.2 Network IDS: NIDS 00:06:00 7.3 NIDS Challenges 00:09:00 7.4 Snort as NIDS 00:08:00 7.5 Intrusion Prevention Systems: IPS 00:07:00 Section 08: Wireless Network Security 8.1 Wired Equivalent Privacy WEP Attacking 00:11:00 8.2 WPA and AES Protocols 00:09:00 8.3 Wireless Security Misconceptions 00:09:00 8.4 Wireless Attacks and Mitigation 00:09:00 8.5 Secure Network Design with Wireless 00:09:00 Section 09: Physical Security and Incident Handling 9.1 Physical Security Objectives 00:11:00 9.2 Physical Threats and Mitigation 00:11:00 9.3 Defense in Depth (DiD) 00:07:00 9.4 Incident 00:06:00 9.5 Incident Handling 00:14:00 Section 10: Network Security: Conclusion 10.1 Confidentiality, Integrity, and Availability (CIA) 00:06:00 10.2 Assets, Threats, and Vulnerabilities 00:04:00 10.3 Risks and Network Intrusion 00:06:00 10.4 Common Attacks 00:09:00 10.5 Security Recommendations 00:06:00 Assignment Assignment - Computer Networks Security from Scratch to Advanced 00:00:00

Boost your insurance career with payroll, Excel, accounting, data entry, and Tableau-led data analytics skills. Navigating the corporate side of UK insurance requires more than just policy talk. This mini bundle neatly ties together the essentials—think payroll, accounting, data entry, Excel, and Tableau. Whether you’re brushing up your spreadsheets or deciphering financials, you’ll gain the structured knowledge to operate with precision. From managing numbers to visualising them, this collection delivers the core knowledge behind successful insurance operations. It’s designed for those who want to make insurance sound less... dull. (It’s not. There are spreadsheets. They're thrilling.) All courses are online, self-paced, and geared to help you move confidently through the essentials of corporate insurance functions. Learning Outcomes: Understand payroll functions within a corporate insurance context. Explore accounting processes used across insurance firms. Input, organise and manage insurance data accurately. Use Excel for reporting and insurance data management tasks. Visualise data clearly using Tableau’s dashboard features. Identify ways to optimise internal insurance operations with data. Who Is This Course For: Staff in insurance admin or back-office support roles. Payroll clerks needing sector-specific understanding. Accounting assistants in the insurance sector. Excel users looking to manage data more efficiently. Those moving into data-based insurance roles. Data entry professionals in insurance firms. Business support staff in insurance environments. Team leaders needing digital insurance fluency. Career Path (UK Average Salaries): Insurance Administrator – £24,000 per year Payroll Officer – £28,000 per year Data Entry Clerk – £21,500 per year Accounts Assistant – £26,000 per year Excel Data Analyst – £30,000 per year Tableau Reporting Analyst – £35,000 per year

Learn charity-focused accounting, finance, and problem-solving to strengthen your management and analysis skills online. Charity finance is a delicate balance of stewardship, accuracy, and calm problem-solving under pressure. This mini bundle brings together essential topics—accounting, financial analysis, business analysis, business management, and structured problem solving—all focused on the not-for-profit context. Whether you're overseeing budgets or handling funding reports, this bundle supports your role with clarity and purpose. It's ideal for those involved in running, supporting, or reporting within charitable organisations. From planning costs to responding to financial puzzles with a level head, this is where spreadsheet meets strategy—without any need for complicated jargon or beige PowerPoint slides. Learning Outcomes: Understand accounting principles for charity-related finance roles. Analyse financial data to support planning and decision-making. Evaluate charity business activities through structured analysis. Interpret financial reports in a management-led context. Identify and respond to financial and operational issues. Apply structured approaches to charity-focused problem solving. Who Is This Course For: Charity finance officers handling budgeting and expenditure. Admin staff supporting financial reporting within charities. Charity managers overseeing funding and financial planning. Support workers assisting with operational decision-making. Grant officers reviewing costs and funding allocations. Entry-level accountants within charitable organisations. Trustees or board members reviewing charity performance. Fund programme staff handling budgeting-related queries. Career Path (UK Average Salaries): Charity Accountant – £36,000 per year Financial Analyst (Charity) – £37,000 per year Business Analyst (Non-profit) – £38,000 per year Budget Officer – £32,000 per year Operations Coordinator (Charity) – £30,500 per year Programme Finance Officer – £34,000 per year

Learn with Case Study - Market Research Course Overview: This course, "Learn with Case Study - Market Research," provides an in-depth understanding of the principles and techniques used in market research. It is designed to equip learners with the knowledge necessary to assess market trends, consumer behaviour, and competitive landscapes effectively. Through the use of real-world case studies, participants will gain valuable insights into the application of market research methodologies in various industries. By the end of the course, learners will be able to conduct research, analyse data, and make informed decisions that drive business strategies and growth. This course is ideal for those seeking to enhance their market research skills and apply them to professional practice. Course Description: In this course, learners will explore the core concepts of market research, including data collection, analysis techniques, and the interpretation of findings. The course integrates case studies to demonstrate how these methods are applied in real-life scenarios across different sectors. Key topics covered include survey design, focus groups, consumer behaviour analysis, and competitor research. Learners will develop the ability to evaluate and synthesise market data to inform strategic business decisions. The course encourages critical thinking, data interpretation, and strategic application, ensuring that learners can effectively utilise market research to support business objectives. By the end of the course, participants will have the skills to execute comprehensive market research projects. Learn with Case Study - Market Research Curriculum: Module 01: Introduction to Market Research Module 02: Data Collection Techniques Module 03: Case Study: Market Research in Action Module 04: Data Analysis and Interpretation Module 05: Consumer Behaviour and Market Segmentation Module 06: Reporting and Presenting Research Findings (See full curriculum) Who is this course for? Individuals seeking to improve their market research skills. Professionals aiming to enhance their strategic decision-making abilities. Beginners with an interest in understanding market dynamics. Those working in marketing, sales, or business strategy roles. Career Path: Market Research Analyst Marketing Manager Business Development Specialist Consumer Insights Analyst Data Analyst

Overview This comprehensive course on IT For Recruiters will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This IT For Recruiters comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this IT For Recruiters. It is available to all students, of all academic backgrounds. Requirements Our IT For Recruiters is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 8 sections • 60 lectures • 05:10:00 total length •Introduction: 00:02:00 •What is hardware and software: 00:04:00 •Server: 00:08:00 •Project Life cycle: 00:06:00 •Software Development Life Cycle: 00:08:00 •Methodologies: 00:09:00 •CMS: 00:04:00 •API: 00:04:00 •CI/CD: 00:04:00 •Stacks: 00:03:00 •Native and Hybrid Native Apps: 00:02:00 •CTO: 00:13:00 •IT Architect: 00:08:00 •Product Owner: 00:12:00 •Project Manager: 00:13:00 •Product Manager: 00:06:00 •PO vs PM vs Product Manager: 00:07:00 •PO vs Product Manager: 00:04:00 •Business Analyst: 00:09:00 •Business Intelligence Specialist: 00:06:00 •Data Engineer: 00:05:00 •Data Scientist: 00:07:00 •Data Engineer vs Data Scientist: 00:07:00 •Agile Coach: 00:14:00 •Scrum Master: 00:08:00 •Agile Coach vs Scrum Master: 00:01:00 •Frontend Developer: 00:06:00 •Backend Developer: 00:06:00 •Fullstack Developer: 00:04:00 •Frontend vs Backend vs Fullstack Developer: 00:02:00 •iOS Developer: 00:03:00 •Android Developer: 00:04:00 •UX Designer: 00:10:00 •UI Designer: 00:08:00 •UX vs UI Designer: 00:04:00 •QA Engineer_Tester: 00:09:00 •SysAdmin: 00:07:00 •DevOps: 00:05:00 •SEO: 00:10:00 •Programming languages and frameworks. Intro: 00:01:00 •Programming languages and frameworks: 00:08:00 •Java: 00:03:00 •JavaScript: 00:02:00 •Python: 00:01:00 •C: 00:02:00 •C++: 00:03:00 •C#: 00:02:00 •HTML: 00:02:00 •PHP: 00:02:00 •SWIFT: 00:02:00 •Objective-C: 00:01:00 •Ruby: 00:02:00 •SQL: 00:02:00 •Go (Golang): 00:01:00 •Database: 00:05:00 •Types of Databases: 00:07:00 •The day of an IT Recruiter: 00:05:00 •Key principles: 00:03:00 •Sourcing Tipps: 00:03:00 •Good Bye Video: 00:01:00

Real Estate: Real Estate Agent, Property Management, Property Development & Marketing 5-in-1 Package Are you looking to excel in the real estate industry? Our all-inclusive 5-in-1 Real Estate bundle course covers everything you need to succeed: Real Estate Agent training, Property Management skills, Property Development insights, and effective Marketing strategies. According to Reed a Real Estate Agent can earn from £45,000 to £55,000 in a year depending on qualification, experience, location and other factors. Transform your career with our expert-led real estate course. Whether you are just starting out or looking to enhance your skills, this course is designed to provide you with the knowledge and tools you need to thrive in the real estate market. Enrol now and take the first step towards a successful career in real estate! Key Features: This Real Estate: Real Estate Agent, Property Management, Property Development & Marketing course comes with: CPD Certified Developed by Specialist Lifetime Access Enrol this 5-in-1 Package This Real Estate: Real Estate Agent, Property Management, Property Development & Marketing course TODAY and Excel in this field. Course Curriculum Real Estate: Real Estate Agent, Property Management, Property Development & Marketing course: Section 1: Foundations of Real Estate 1.1 Real Estate Agent Overview 1.2 Various Real Estate Agent Specializations 1.3 Regulatory Framework for Real Estate Agents Section 2: Starting & Building Your Career as an Agent 2.1 Initiating Your Professional Journey 2.2 Property Listing: Identifying Sellers 2.3 Property Valuation Procedures 2.4 Negotiation Techniques for Real Estate Agents 2.5 Property Sales: Attracting Buyers 2.6 Property Leasing 2.7 Technological Tools for Real Estate Professionals Section 3: Property Management Essentials 3.1 Basics of Property Management 3.2 Legal Considerations in Property Management Section 4: Introduction to Property Development 4.1 Introduction to Property Development 4.2 Diverse Property Types 4.3 Property Research Fundamentals 4.4 Compliance with Building Regulations 4.5 The Planning Phase in Property Development 4.6 Project Management in Property Development Section 5: Financing & Marketing in Real Estate 5.1 Varied Financing Options 5.2 Property Marketing Techniques Learning Outcomes After completing this Real Estate: Real Estate Agent, Property Management, Property Development & Marketing course, you will be able to: Identify diverse roles within the real estate agent profession. Apply techniques for property listing and valuation processes. Understand the legal aspects of property management and ownership. Analyse various property development types and regulatory frameworks. Evaluate different financing options relevant to real estate transactions. Implement marketing strategies specific to the property market. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Real Estate Agent, Property Management, Property Development & Marketing course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Real Estate Agent, Property Management, Property Development & Marketing. Moreover, this course is ideal for: Aspiring real estate agents seeking foundational knowledge. Individuals interested in property management basics. Those exploring property development as a potential career. Individuals keen on understanding real estate financing options and also property development & marketing. Professionals looking to enhance their real estate marketing skills. Requirements There are no requirements needed to enrol into this Real Estate Agent, Property Management, Property Development & Marketingcourse. We welcome individuals from all backgrounds and levels of experience to enrol into this Real Estate: Real Estate Agent, Property Management, Property Development & Marketing course. Career path After finishing this Real Estate Agent, Property Management, Property Development & Marketing course you will have multiple job opportunities waiting for you. Some of the Job sectors of Real Estate Agent, Property Management, Property Development & Marketing are: Property Valuer Letting Agent Property Developer Real Estate Analyst Property Manager Marketing Executive in Real Estate Sector Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Discover the future of green hydrogen finance with EnergyEdge. Join our virtual training to explore investment strategies and monetization opportunities.

Course Overview The Financial Engineering Courses – 8 Courses Bundle is a comprehensive training package designed to equip learners with a robust understanding of the mathematical, statistical, and analytical foundations of modern finance. This bundle merges core financial theories with quantitative models to support strategic financial decision-making. Learners will explore concepts ranging from derivatives pricing and risk modelling to portfolio optimisation and stochastic processes, gaining a solid foundation in the methodologies used in financial institutions and investment firms. By the end of the course, participants will be able to interpret financial models, assess risk frameworks, and contribute effectively to quantitative analysis roles. This course is particularly valuable for those aiming to strengthen their understanding of finance through an analytical lens, aligning with roles in investment banking, financial consultancy, or quantitative research. Course Description This course bundle offers eight interconnected modules covering a wide array of financial engineering topics. Learners will be introduced to financial mathematics, stochastic calculus, fixed income securities, options pricing, quantitative risk management, and algorithmic trading strategies. The programme provides an in-depth look into the mechanics of financial markets and the computational tools that underpin asset valuation and portfolio structuring. Through clear instruction and structured content, learners will build confidence in applying quantitative techniques and economic theory to real-world financial challenges. Emphasis is placed on theoretical rigour, analytical accuracy, and strategic application. Ideal for learners with a background or interest in finance, mathematics, or economics, this course supports a deeper understanding of financial markets and prepares participants for roles that require data-driven financial modelling and risk assessment skills. Course Modules Module 01: Introduction to Financial Engineering Module 02: Financial Mathematics and Modelling Techniques Module 03: Fixed Income Securities and Yield Curves Module 04: Derivatives and Options Pricing Theory Module 05: Quantitative Risk Management Fundamentals Module 06: Stochastic Processes in Finance Module 07: Portfolio Theory and Investment Analysis Module 08: Algorithmic and Computational Finance (See full curriculum) Bundle Instructions Access all eight courses through a single enrolment. Courses are self-paced and available online 24/7. Learners receive a certificate for each completed module. Support is available throughout the learning journey. Who is this course for? Individuals seeking to build a strong foundation in quantitative finance. Professionals aiming to advance their knowledge in financial modelling and analysis. Beginners with an interest in finance, mathematics, or data-driven investment theory. Graduates or career changers targeting roles in banking, analytics, or asset management. Career Path Quantitative Analyst Financial Risk Manager Investment Banking Analyst Asset or Portfolio Manager Financial Modelling Consultant Data Analyst in Financial Services Derivatives Pricing Specialist Economic Research Associate

Level 2 QLS Endorsed Diploma | 100 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

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