1166 Data Analysis courses in Sheffield delivered Online

Embark on a transformative journey with the 'CompTIA CySA+ Cybersecurity Analyst Course,' designed to fortify the digital frontiers of business. This comprehensive training program begins with an immersive introduction to the cybersecurity realm, setting the stage for a deep dive into the sophisticated world of threat data and intelligence. With an emphasis on real-world application, participants will gain invaluable insights into organizational security, developing the acumen to anticipate, identify, and neutralize digital threats. Mastery over vulnerability assessment tools and mitigation strategies forms the bedrock of this curriculum, providing learners with a robust skill set pivotal for the modern cybersecurity landscape. Learning Outcomes Interpret threat data to reinforce organizational security frameworks. Assess vulnerabilities using state-of-the-art tools and methodologies. Apply best practices for ensuring software and hardware assurance. Analyze security solutions for robust infrastructure management. Implement and manage incident response protocols to address potential compromises effectively. Why choose this CompTIA CySA+ Cybersecurity Analyst Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the CompTIA CySA+ Cybersecurity Analyst Course Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this CompTIA CySA+ Cybersecurity Analyst Course for? Individuals aiming to specialize in cybersecurity analysis. IT professionals seeking to broaden their cybersecurity knowledge. Organizational staff responsible for managing digital security risks. Security consultants requiring up-to-date threat intelligence expertise. System administrators looking to implement enhanced security measures. Career path Cybersecurity Analyst - £25,000 to £60,000 Vulnerability Analyst - £30,000 to £65,000 Security Operations Centre (SOC) Analyst - £32,000 to £70,000 Incident Responder - £27,000 to £68,000 Digital Forensics Specialist - £35,000 to £75,000 Information Security Consultant - £40,000 to £80,000 Prerequisites This CompTIA CySA+ Cybersecurity Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA CySA+ Cybersecurity Analyst Course 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction 00:02:00 All about the Exam 00:08:00 What's New on the CompTIA CySA+ Exam? 00:05:00 Meet the Instructors 00:02:00 Thinking like the Enemy 00:09:00 Section 02: The Importance of Threat Data and Intelligence Intelligence Sources and Confidence Levels 00:08:00 Threat Indicators and Actors 00:08:00 Threat Trends 00:07:00 Intelligence Cycle and ISACs 00:06:00 Section 03: Threat Intelligence in Support of Organizational Security Attack Frameworks 00:06:00 Threat Research 00:11:00 Threat Modeling and Intelligence Sharing 00:06:00 Section 04: Vulnerability Assessment Tools Vulnerability Identification 00:07:00 Scanning Parameters and Criteria 00:09:00 Scanning Special Considerations 00:06:00 Validation 00:03:00 Remediation and Mitigation 00:08:00 Inhibitors to Remediation 00:07:00 Section 05: Threats and Vulnerabilities Associated with Specialized Technology Web Applications Scanners, Part 1 00:10:00 Web Applications Scanners, Part 2 00:05:00 Scanning 00:06:00 Configuring and Executing Scans 00:08:00 Vulnerability Scanning 00:10:00 Reverse Engineering 00:08:00 Enumeration 00:06:00 Wireless Assessment Tools 00:08:00 Cloud Assessment Tools 00:04:00 Section 06: Threats and Vulnerabilities Associated with Specialized Technology Mobile and IoT 00:10:00 Embedded and Firmware Systems (RTOS, SoC, and FPGA) 00:09:00 Access and Vehicles Risk 00:08:00 Automation and Control Risk 00:10:00 Section 07: Threats and Vulnerabilities Associated with Operating in the Cloud Cloud Models 00:07:00 Remote Service Invocation (FaaS, IaC, API) 00:10:00 Cloud Vulnerabilities 00:06:00 Section 08: Mitigating Controls for Attacks and Software Vulnerabilities Injection and Overflow Attacks 00:09:00 Authentication Attacks 00:07:00 Exploits 00:08:00 Application Vulnerabilities, Part 1 00:08:00 Application Vulnerabilities, Part 2 00:07:00 Section 09: Security Solutions for Infrastructure Management Network Architecture and Asset Management 00:09:00 Protecting Your Territory 00:05:00 Identity and Access Management 00:11:00 Encryption and Active Defense 00:08:00 Section 10: Software Assurance Best Practices Platforms 00:07:00 SOA and DevSecOps 00:09:00 Secure Software Development 00:08:00 Best Coding Practices 00:04:00 Section 11: Hardware Assurance Best Practices Trusted Hardware 00:10:00 Hardware Encryption 00:04:00 Hardware Security 00:08:00 Section 12: Data Analysis in Security Monitoring Activities Data Analytics 00:10:00 Endpoint Security 00:08:00 Recon Results, Part 1 00:13:00 Recon Results, Part 2 00:05:00 Impact Analysis 00:05:00 Collective Tools 00:09:00 Query Writing 00:07:00 E-mail Analysis, Part 1 00:10:00 E-mail Analysis, Part 2 00:08:00 Section 13: Implement Configuration Changes to Existing Controls to Improve Security Permissions 00:09:00 Firewalls 00:08:00 Intrusion Prevention Rules 00:05:00 DLP and Endpoint Detection 00:05:00 Section 14: The Importance of Proactive Threat Hunting Threat Hunting and the Hypothesis 00:06:00 Threat Hunting Process 00:07:00 Results and Benefits 00:05:00 Section 15: Compare and Contrast Automation Concepts and Technologies Workflow and Scripting 00:07:00 API and Malware Signature Creation 00:08:00 Threat Feeds and Machine Learning 00:06:00 Protocols, Standards, and Software Engineering 00:05:00 Section 16: The Importance of the Incident Response Process IR Roles and Responsibilities 00:08:00 IR Active Preparation 00:10:00 Section 17: Appropriate Incident Response Procedures Incident Response Process 00:07:00 Section 18: Analyze Potential Indicators of Compromise Network Symptoms 00:04:00 Host Symptoms 00:08:00 Application Symptoms 00:04:00 Section 19: Utilize Basic Digital Forensics Techniques Digital Forensics 00:10:00 Seizure and Acquisitions 00:05:00 Forensics Acquisition Tools 00:09:00 Mobile, Virtualization, and Cloud 00:06:00 Forensics Analysis, Part 1 00:04:00 Forensics Analysis, Part 2 00:08:00 Packet Capture 00:12:00 Section 20: The Importance of Data Privacy and Protection Data Privacy and Security 00:06:00 Nontechnical Controls 00:09:00 Technical Controls 00:08:00 Section 21: Security Concepts in Support of Organizational Risk Mitigation Business Impact Analysis 00:05:00 Risk Identification 00:05:00 Risk Calculation and Communication 00:06:00 Training 00:04:00 Supply Chain Assessment 00:04:00 Section 22: The Importance of Frameworks, Policies, Procedures, and Controls Frameworks 00:13:00 Policies and Procedures 00:05:00 Controls and Procedures 00:08:00 Verification 00:06:00 Assignment Assignment - CompTIA CySA+ Cybersecurity Analyst Course 00:00:00

The Anti Money Laundering (AML): 8 in 1 Premium Courses Bundle helps learners navigate the world of financial transparency, audit trails, and those pesky fraudulent transactions. This content-rich bundle includes AML foundations, employment law, document control, purchase ledger insights, and financial/data analysis to keep your finance knowledge well-polished and compliant. You’ll also cover Excel skills relevant to data handling and the all-important risk mitigation mindset. This isn’t just about ticking legal boxes — it’s about understanding the landscape behind financial red flags. From analysing patterns to securing documents, this is the kind of learning that’s great for careers where trust, accuracy, and the occasional suspicious transaction log all go hand in hand. Learning Outcomes: Understand AML regulations and financial crime prevention strategies Learn how to analyse financial data for suspicious activity detection Explore employment law principles tied to financial conduct Gain insight into document control and risk management processes Study Excel for financial reporting and transaction tracking Learn purchase ledger operations in structured finance departments Who is this Course For: Professionals seeking AML knowledge in finance environments Data analysts interested in financial pattern recognition Office staff working with sensitive financial documentation Accounting learners with interest in legal financial oversight Individuals exploring fraud detection and finance auditing Excel users dealing with large volumes of financial data Bookkeepers and ledgers clerks handling transactional records HR or finance staff needing AML and employment law clarity Career Path (UK Average Salaries): AML Analyst – £35,000/year Financial Crime Assistant – £32,000/year Data Analyst (AML-Focused) – £36,500/year Compliance Support Officer – £33,000/year Purchase Ledger Clerk – £25,500/year Document Control Officer – £27,000/year

If data had a fan club, analysts would be the VIP members. This 8-in-1 online bundle offers a structured dive into the data world—from input to insight. With modules in SQL, Python, Microsoft Access, Tableau, Google Analytics, and more, it covers the tools that analysts actually use when trying to make sense of endless spreadsheets. You’ll start with data entry foundations and move through analysis techniques, database management, and visualisation. The goal? To help you read, question, and communicate data without turning it into a maths lesson. Whether you’re new to analytics or brushing up on tools, this bundle is here to turn data into something slightly more interesting than... well, a spreadsheet. 🎯 Learning Outcomes: Understand core data analysis methods across common tools. Learn SQL for querying and managing structured data sets. Apply Python for basic data organisation and automation. Use Tableau and Google tools for visual data presentation. Gain data entry and database management understanding. Analyse online performance through Google Analytics platforms. 👤 Who is this Course For: Aspiring data analysts building core tool knowledge. Marketing professionals interested in online performance stats. Admins needing database and data entry foundations. Junior developers exploring data-related workstreams. Business analysts reviewing structured analysis methods. Freelancers handling data-heavy client tasks. Entrepreneurs reviewing user behaviour via Google tools. Graduates seeking online data training for job roles. 💼 Career Path (UK Average Salaries): Data Analyst – £38,000 per year Business Intelligence Analyst – £42,000 per year Data Entry Administrator – £24,000 per year SQL Analyst – £40,000 per year Marketing Data Analyst – £36,000 per year Analytics Coordinator – £34,000 per year

Think libraries are just about stamping books? Think again. This bundle gets under the hood of modern library and information management—where cataloguing meets GDPR, and dusty shelves make way for digital systems. From document control to basic IT and data analysis, this bundle suits anyone working behind the scenes to keep information flowing neatly (and legally). Ideal for those who believe alphabetising can be an art form and spreadsheets deserve proper formatting. 🟪 Learning Outcomes: Manage library records using structured documentation methods. Apply GDPR principles to safeguard personal and public data. Organise and retrieve digital files using basic IT skills. Analyse usage data to support service development decisions. Maintain orderly systems for both physical and digital resources. Understand key tasks in library and information management. 🟪 Who Is This Course For: Library assistants supporting daily resource and data handling. Archive staff maintaining structured and secure records. Admins in educational or public library environments. Data handlers working in knowledge or resource centres. Entry-level staff in information management roles. Professionals dealing with document control and storage. Staff helping with catalogue management and updates. Anyone allergic to messy filing systems and loose ends. 🟪 Career Path (UK Average Salaries): Library Assistant – £22,000/year Document Controller – £27,000/year Information Support Officer – £26,000/year Records Management Assistant – £25,000/year Digital Archive Coordinator – £28,000/year Data Analyst (Library/Info Sector) – £30,000/year

Overview This comprehensive course on Statistical Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Statistical Analysis 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Statistical Analysis. It is available to all students, of all academic backgrounds. Requirements Our Statistical Analysis 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 14 sections • 16 lectures • 06:28:00 total length •The Realm Of Statistics: 00:26:00 •Basic Statistical Terms: 00:41:00 •The Center of the Data: 00:07:00 •Data Variability: 00:15:00 •Binomial and Normal Distributions: 00:14:00 •Binomial Probabilities Table: 00:14:00 •Z-Table: 00:04:00 •Introduction to Probability: 00:35:00 •Estimates and Intervals: 00:34:00 •Hypothesis Testing: 00:31:00 •Regression Analysis: 00:11:00 •Algorithms, Analytics and Prediction: 00:47:00 •Learning From Experience: The Bayesian Way: 00:31:00 •Doing Statistics: The Wrong Way: 00:37:00 •How We Can Do Statistics Better: 00:41:00 •Assignment - Statistics Essentials: 00:00:00

Uncover Excel 2019's potential through our comprehensive Microsoft Excel course. It empowers you to master features, calculations, data analysis, and automation. Whether you're new to spreadsheets or aiming for data expertise, this course is tailored for you. Our Microsoft Excel course simplifies Excel's complexities, making it beginner-friendly. It equips you with skills vital in today's data-driven landscape. Beyond personal growth, this Microsoft Excel course boosts career prospects. Excel proficiency is valuable in a competitive job market, opening doors to diverse opportunities. Our course is a transformative journey into Excel 2019, unlocking potential, enhancing skills, and advancing careers. Whether you're a novice or aspiring data pro, it's your key to Excel's power and your potential. Learning Outcomes of our Microsoft Excel course: Master Microsoft Excel 2019's latest features. Perform complex calculations with ease. Create visually appealing and well-formatted worksheets. Analyze and visualize data effectively using charts and PivotTables. Automate workbook tasks with Excel VBA. Why buy this Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Who is this Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 for? Individuals new to Microsoft Excel looking to build a strong foundation. Students and job seekers aiming to enhance their employability. Business professionals wanting to improve data management and analysis skills. Entrepreneurs seeking to streamline their business processes. Anyone interested in harnessing the power of Excel for personal or professional growth. Prerequisites This Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 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. Career path Data Analyst: £25,000 - £40,000 per year Financial Analyst: £30,000 - £50,000 per year Business Intelligence Analyst: £30,000 - £55,000 per year Operations Manager: £35,000 - £70,000 per year Project Manager: £40,000 - £70,000 per year Excel VBA Developer: £35,000 - £60,000 per year Certification After studying the course materials of the Advanced Diploma in Microsoft Excel Complete Course 2019 at QLS Level 7 you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Microsoft Excel 2019 New Features Introduction to Microsoft Excel 2019 New Features 00:07:00 CONCAT 00:02:00 IFS 00:01:00 MAXIFS 00:01:00 MINIFS 00:01:00 SWITCH 00:02:00 TEXTJOIN 00:01:00 Map Chart 00:02:00 Funnel Chart 00:01:00 Better Visuals 00:06:00 Pivot Table Enhancements 00:02:00 Power Pivot Updates 00:01:00 Getting Started with Microsoft Office Excel Navigate the Excel User Interface 00:28:00 Use Excel Commands 00:10:00 Create and Save a Basic Workbook 00:19:00 Enter Cell Data 00:12:00 Use Excel Help 00:05:00 Performing Calculations Create Worksheet Formulas 00:15:00 Insert Functions 00:17:00 Reuse Formulas and Functions 00:17:00 Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Formatting a Worksheet Apply Text Formats 00:16:00 Apply Number Format 00:08:00 Align Cell Contents 00:09:00 Apply Styles and Themes 00:12:00 Apply Basic Conditional Formatting 00:11:00 Create and Use Templates 00:08:00 Printing Workbooks Preview and Print a Workbook 00:10:00 Set Up the Page Layout 00:09:00 Configure Headers and Footers 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:12:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Sharing and Protecting Workbooks Collaborate on a Workbook 00:19:00 Protect Worksheets and Workbooks 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Excel VBA Data Management Create a Macro Using the Macro Recorder 01:00:00 Edit a Macro 01:00:00 Debug a Macro 00:30:00 Customize the Quick Access Toolbar and Hotkeys 00:30:00 Set Macro Security 01:00:00 Insert Text 00:30:00 Format Text 00:30:00 Sort Data 00:30:00 Duplicate Data 01:00:00 Generate a Report 01:00:00 Determine the Dialog Box Type 00:15:00 Capture User Input 01:00:00 Insert, Copy, and Delete Worksheets 00:30:00 Rename Worksheets 00:30:00 Modify the Order of Worksheets 00:15:00 Print Worksheets 00:30:00 Create User-Defined Functions 00:30:00 Automate SUM Functions 00:30:00 Excel Templates Excel Templates 00:00:00 Resources Resources - Microsoft Excel - Beginner Course - Cpd Accredited 00:00:00 Mock Exam Mock Exam - Microsoft Excel Complete Course 2019 00:20:00 Final Exam Final Exam - Microsoft Excel Complete Course 2019 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

Insurance finance demands accuracy, detailed analysis, and a strong grasp of numbers. This mini bundle covers payroll, accounting, forensic accounting, data analysis, and tax—all key skills for anyone involved in insurance financial functions. This bundle offers a solid foundation in how insurance firms manage their accounts and analyse data to detect discrepancies or trends. Whether your role involves payroll, tax reporting, or investigative accounting, these courses deliver clear, focused knowledge that supports decision-making and operational accuracy. Fully online and structured, it avoids jargon and instead provides a direct, practical approach to financial management within insurance. Learning Outcomes: Understand payroll processes within insurance finance environments. Apply accounting principles relevant to insurance operations. Use forensic accounting techniques to investigate financial records. Analyse data to support insurance financial decisions. Gain knowledge of tax regulations affecting insurance firms. Develop skills to support insurance financial reporting accuracy. Who Is This Course For: Insurance finance staff handling payroll and tax duties. Accountants specialising in insurance industry requirements. Data analysts working with insurance financial datasets. Investigators involved in forensic accounting for insurance claims. Tax professionals managing insurance-related tax filings. Payroll officers within insurance companies. Auditors reviewing insurance financial compliance. Students or professionals entering insurance finance roles. Career Path (UK Average Salaries): Insurance Accountant – £35,000 per year Payroll Officer – £28,000 per year Forensic Accountant – £40,000 per year Data Analyst (Insurance) – £33,000 per year Tax Advisor – £38,000 per year Insurance Auditor – £36,000 per year

Insurance and accuracy go hand in hand—and this bundle doesn’t miss a beat. With topics including payroll, forensic accounting, report writing, data analysis and accounting, this course is structured to help learners handle numbers and write about them with precision (and without snore-inducing reports). Each subject is tailored to add another layer to your understanding of financial processes that matter to insurers, regulators, and auditors alike. The goal? To make compliance feel less like a chore and more like a skill you’ve got under control—with data you can trust and reporting you can defend. Learning Outcomes: Learn to manage payroll processes with professional accuracy. Understand forensic accounting and its detailed applications. Develop financial reporting and structured writing techniques. Use data to support business and insurance analysis. Recognise errors and inconsistencies in financial records. Strengthen accounting knowledge for business insurance sectors. Who is this Course For: Professionals working in insurance or finance administration. Beginners wanting to understand insurance and data basics. Individuals managing payroll or report documentation. Bookkeepers exploring wider insurance-related skills. Students aiming for finance or insurance-related careers. Analysts needing structured reporting knowledge. Office workers supporting compliance departments. Anyone keen to write financial reports without guesswork. Career Path: Insurance Claims Officer – Average Salary: £32,000 Report Writer (Finance) – Average Salary: £34,000 Payroll Officer – Average Salary: £28,000 Accounting Clerk – Average Salary: £25,000 Forensic Accounting Assistant – Average Salary: £39,000 Data & Reporting Analyst – Average Salary: £41,000

Ascend to the next level of Excel proficiency with our comprehensive Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course. This in-depth training will equip you with the skills to create sophisticated dashboards using advanced Excel formulas, VBA, and Power Query, empowering you to transform raw data into actionable insights. Master the art of financial modeling with our prepaid expenses models, learning how to calculate amortization schedules and create detailed summaries using Excel formulas. Delve into the power of Power Query to effortlessly manipulate and analyze large datasets, building dynamic dashboards without the limitations of formulas. Learning Outcomes Gain proficiency in creating automated dashboards using advanced Excel formulas, VBA, and Power Query Develop expertise in financial modeling using prepaid expenses models Master the calculation of amortization schedules and prepaid expenses summaries Implement Power Query to manipulate and analyze large datasets Create dynamic dashboards without the limitations of formulas Enhance your Excel skills and data analysis capabilities Why choose this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course for? Accounting and finance professionals seeking to enhance their Excel skills for financial modeling and dashboard creation Business analysts and data analysts aiming to expand their expertise in data manipulation and visualization Excel enthusiasts interested in mastering advanced Excel formulas, VBA, and Power Query Individuals seeking to create interactive and insightful dashboards for data-driven decision-making Anyone seeking to elevate their Excel skills and become a proficient data analyst Career path Financial Analyst (£35,000 - £55,000) Business Analyst (£40,000 - £60,000) Data Analyst (£45,000 - £65,000) Management Accountant (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Financial Analyst (£50,000 - £70,000) Prerequisites This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thank you Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Assignment Assignment - Microsoft Excel: Automated Dashboard Using Advanced Formula VBA Power Query 00:00:00