1138 Data Analysis courses in Leeds delivered Online

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

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

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want Excel is an essential tool for data management and analysis and in this course, you will master everything from the fundamentals to advanced functionalities. You will learn to navigate the interface, create and format spreadsheets and perform calculations with ease and you will unlock the true potential of Excel for business and personal use. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme Understand the basics of Excel Know how to use Excel at an intermediate level Be aware of sum and numerical functions Understand how to manipulate text Know about logical functions Create effective spreadsheets Be confident with lookup functionality and date and time functions Easily use financial functions and sort and filter Progress to using Microsoft Excel at an advanced level Know how to create accurate and clear visual presentations Consolidate and validate data Use pivot table and what-if analysis Understand automation and macros Why Microsoft Excel Training Course right for you? Develop advanced skills in Microsoft Excel training course basic to advanced course, with this course. Learn from scratch or build on prior knowledge, to gain a good understanding of Excel functions. You will learn to accelerate your tasks efficiently using Excel techniques and formulae. The course covers how to create professional reports in no time, with Excel tools for data analysis and creating charts. This course will demystify the functions and tools in easy steps. It will teach you to work smart and save time. It is an excellent addition to your CV and is a valued skill in all businesses. Microsoft Excel Training Course Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Microsoft Excel: Basic Level Introduction to Microsoft Excel 0101 Touring the Interface 0102 Enter Data & Saving Workbook 0103 Applying Formulas 0104 Changing a Worksheet's Structure 0105 Find, Replace & Spell Check 0106 Applying Fonts, Background Colors, and Borders 0107 Formatting Numbers and Dates 0108 Making the Fieces fit 0109 Inserting Headers & Footers and Repeating Rows 0110 Managing Large Workbooks Microsoft Excel: Intermediate Level Excel Essentials 0201 Formula Writing (Don't Miss This) Ex 0201 Formula Writing (Don't Miss this) Sum Count Average Functionality - With Conditions 0301 SumIf & SumIfs Ex 0301 SumIf & SumIfs 0302 Count Functions Ex 0302 Count Functions 0303 AverageIf & AverageIfs Ex 0303 AverageIf & AverageIfs Text Functions - Manipulating Text 0401 Change Case (Upper, Lower,Proper) Ex 0401 Change Case (Upper, Lower, Proper) 0402 Separating Text on Symmetrical Data Ex 0402 Separating Text on Symmetrical Data 0403 Separating Text on Non-Symmetrical Data Ex 0403 Separating Text on Non-Symmetrical Data Logical Functions - Working With Conditions 0501 If Functionality Ex 0501 IF Functionality 0502 If with AND Ex 0502 If with AND 0503 If with OR Ex 0503 If with OR 0504 If with 'AND' & 'OR' / IF with Countif Ex 0504 If with 'AND' & 'OR' / IF with Countif 0505 Nested IF (A Genie with 3 wishes) Ex 0505 Nested IF (A Genie with 3 wishes) Lookup Functionality - Burn Simple Find Technique 0601 Vlookup (Exact Match) # 1 Ex 0601 Vlookup (Exact Match) # 1 0602 Type of References (Use of $ sign) 0603 Vlookup (Exact Match) # 2 Ex 0603 Vlookup (Exact Match) # 2 0604 Double Vlookup Ex 0604 Double Vlookup 0605 Vlookup on Duplicate Values Ex 0605 Vlookup on Duplicate Values 0606 Vlookup (Approximate Match) Ex 0606 Vlookup (Approximate Match) 0607 Vlookup with If (Conditional Vlookup) Ex 0607 Vlookup with If (Conditional Vlookup) 0608 Hlookup (Exact Match) Ex 0608 Hlookup (Exact Match) 0609 Hlookup (Approximate Match) Ex 0609 Hlookup (Approximate Match) 0610 Lookup (Don't use this !) Ex 0610 Lookup (Don't use this !) 0611 Vlookup with Match (Create Magical Vlookup) Ex 0611 Vlookup with Match (Create Magical Vlookup) 0612 Match (Gives us Column/Row Index #) Ex 0612 Match (Gives us Column/Row Index #) 0613 Index & Match (Made for Each Other) Ex 0613 (1) Index & Match (Made for Each Other) Ex 0613 (2) Index & Match (Made for Each Other) Date & Time Function - A Tricky Game 0701 How Excel Records Date & Time 0702 Now, Today & Autofill 0703 DateValue & TimeValue 0704 Calculate WorkingDays 0705 DatedIf Financial Functions 0801 Loan Calculation (PMT, PPMT, IPMT etc.) Ex 0801 Loan Calculation (PMT, PPMT, IPMT etc.) 0802 Creating a Loan Table Ex 0802 Creating a Loan Table 0803 Calculate Depriciation Ex 0803 Calculate Depriciation Sort & Filter 0901 Basic Sorting & Shortcut keys Ex 0901 Basic Sorting & Shortcut keys 0902 Sorting Using Custom List Ex 0902 Sorting Using Custom List 0903 Horizontal Sorting Ex 0903 Horizontal Sorting 0904 Basic Filter & Shortcut Keys Ex 0904 Basic Filter & Shortcut Keys 0905 Filter Problem # 1 (Copy Filtered Data without hidden rows) Ex 0905 Filter Problem # 1 (Copy Filtered Data without hidden rows) 0906 Filter Problem # 2 (Pasting Values on Filtered Data) Ex 0906 Filter Problem # 2 (Pasting Values on Filtered Data) 0907 Filter Problem # 3 (Performing Calculation on Filtered Data) Ex 0907 Filter Problem # 3 (Performing Calculation on Filtered Data) 0908 Advanced Filter (Applying Complex Criteria's) Ex 0908 Advanced Filter (Applying Complex Criteria's) Microsoft Excel: Advanced Level Excel Charts - Visual Presentation 1001 How to create a chart 1002 Format Axis 1003 Plot Values on Secondary Axis 1004 Life of Pie (Charts) 1005 How to Show Axis Title 1006 How to Show Data Label 1007 Show data with chart in Data Table 1008 Column Chart 1009 Bar Chart 1010 Line Chart 1 1011 Line Chart 2 1012 Area Chart 1013 Pie Chart 1014 Pie of Pie or Bar of Pie 1015 Line Chart with Log Scale 1016 Bubble Chart 1017 Selecting Chart Elements 1018 Use of Format Dialog box 1019 Modifying Chart & Plot Area 1020 Modifying Data Series 1021 How to handle Missing Data 1022 Modifying 3-D Charts 1023 Creating Combination of upto 5 Different Charts 1025 Creating Picture Charts Data Consolidation - Multiple WorkBooks WorkSheets Consolidate Data using Excel Inbuilt Function Ex Consolidate Data using Excel Inbuilt Function Data Validation 1201 Applying Data Validation Ex 1201 Applying Data Validation 1202 Dependent Dropdown List Ex1202 Dependent Dropdown List Using Data Validation with Vlookup & Match Other Data Validation Examples Protection of Worksheet Workbook 1301 Worksheet Level Protection Ex 1301 Worksheet Level Protection 1302 Cell Level Protection Ex 1302 Cell Level Protection 1303 Hiding Formulas from Formula Bar Ex 1303 Hiding Formulas from Formula Bar 1304 Protecting Workbook Structure Ex 1304 Protecting Workbook Structure 1305 Workbook Level Protection Ex 1305 Workbook Level Protection Pivot Table & Techniques 1401 Understanding pivot Table 1402 Using Pivot Table in Real Scenario Ex 1402 Using Pivot Table in Real Scenario 1403 Grouping in Pivot Table Ex 1403 Grouping in Pivot Table 1404 Using Slicers (A Visually attractive Filter) Ex 1404 Using Slicers (A Visually attractive Filter) What-If Analysis & Solver Add-In 1501 Goal Seek (A Reverse Approach) Ex 1501 Goal Seek (A Reverse Approach) 1502 One Way Data Table 1503 Two Way Data Table 1504 Scenario Manager 1505 Solver Add-In Automation in Excel - Macros 1601 Record your first Macro 1602 Record Another Macro 1603 Assigning macro to a Shape, Button, Picture etc 1604 Editing or Deleting a Macro 1605 Security Settings of a Macro Who should take this course? Absolute beginners to Microsoft Excel People who wish to use Microsoft Excel more confidently People who wish to refresh their existing skills in Microsoft Excel Entry Requirements There are no academic entry requirements for this Microsoft Excel training course basic to advanced course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Microsoft Excel training course basic to advanced course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

The Data Science: Data Analyst Mini Bundle is made for those who prefer evidence over guesswork. With key topics including Data Analysis, SQL, Python, Project Management, and MS Excel, this collection gives you a balanced mix of logic, organisation, and data literacy—all without trying to teach you twenty things at once. Whether you're managing a project or wrangling a CSV file, this course bundle is your sensible step toward making decisions based on something more reliable than a hunch. It’s suitable for career starters, team members, or those just trying to figure out what on earth a pivot table actually does. Learning Outcomes: Understand how to analyse and interpret structured data sets. Use SQL for database queries and data manipulation tasks. Write Python code to simplify and clean large datasets. Work efficiently with Excel for data calculation and graphs. Apply data knowledge in structured project workflows. Improve confidence in working with numbers and logic. Who Is This Course For: Aspiring analysts looking for a strong entry-level foundation. Team members working with spreadsheets and basic datasets. Managers wanting to understand what the analysts are saying. Graduates targeting data-related office positions. Freelancers exploring tech-focused client projects. Job seekers needing stronger data confidence and skill sets. People who enjoy patterns, statistics, or tidy spreadsheets. Anyone who’s been told to “check the numbers” again. Career Path: Junior Data Analyst – £30,000/year Python Programmer – £40,000/year SQL Data Developer – £42,000/year Project Analyst – £35,000/year Excel Data Specialist – £32,000/year Data Administrator – £34,000/year

Power up your career with the Energy Manager Training Mini Bundle, tailored for those ready to lead in energy management and sustainability. Featuring Greenhouse, Gas Engineering, HVAC Technician, Mathematics, and RIDDOR, this bundle positions you perfectly for roles in construction, facility management, and environmental consulting. Companies actively seek professionals who combine technical expertise with safety knowledge like RIDDOR, alongside analytical skills grounded in Mathematics. This bundle helps you become a vital asset in energy and environmental industries. Description The Energy Manager Training Mini Bundle equips you with the interdisciplinary skills needed for modern energy roles. Mastering Gas Engineering and HVAC Technician competencies is crucial in managing building systems efficiently, while understanding Greenhouse dynamics ties directly to sustainability goals. With Mathematics skills underpinning problem-solving and data analysis, and RIDDOR knowledge ensuring safety compliance, you’re ready to meet employer demands head-on. From managing energy consumption in commercial buildings to advising on greenhouse impact, this bundle opens doors in multiple industries focused on efficiency and regulation compliance. Fast-track your career with skills that employers urgently require. FAQ What careers suit this bundle? Energy manager, HVAC technician, gas engineer, sustainability analyst, safety compliance officer. Is RIDDOR important here? Yes, it's essential for workplace safety and legal compliance in energy sectors. Do I need advanced math for this? Basic to intermediate Mathematics is necessary and covered to support technical roles. Is this bundle relevant for green building? Absolutely, Greenhouse knowledge aligns with environmental impact reduction initiatives. Can this bundle help with certification or licensing? Yes, especially for Gas Engineering and HVAC-related qualifications. How competitive is this field? Demand for trained energy professionals is high and growing rapidly.

Discover UK insurance fundamentals with payroll, accounting, tax, data entry, and analysis in one clear online mini bundle. 🔹 Overview: The Insurance Fundamentals Mini Bundle provides learners with essential knowledge covering payroll, accounting, tax, data entry, and analysis—all tailored to the UK insurance context. This package offers a practical blend of financial and administrative skills for anyone aiming to support insurance operations. Whether you’re new to the insurance sector or enhancing your expertise, this bundle guides you through key processes that underpin insurance payroll and tax management. By combining data accuracy and analytical insight, learners can contribute confidently to smooth insurance workflows without leaving their desk. 🔹 Learning Outcomes: Understand payroll and tax procedures relevant to insurance Apply accounting principles to insurance sector finances Develop accuracy in data entry for insurance records Use data analysis to support insurance decision-making Learn UK-specific insurance financial regulations and practices Improve administrative skills for insurance operations support 🔹 Who is this Course For: Beginners aiming to enter the UK insurance industry Insurance administrators managing payroll and accounting tasks Professionals responsible for insurance data entry and analysis Staff needing clear understanding of insurance tax processes Individuals supporting insurance finance and payroll departments Employees improving skills for insurance operational roles Those interested in insurance sector financial and administrative work Career changers exploring insurance fundamentals online 🔹 Career Path: Insurance Administrator – £22,000–£30,000 per year Payroll Officer (Insurance Sector) – £23,000–£31,000 per year Insurance Data Analyst – £28,000–£37,000 per year Accounting Assistant (Insurance) – £24,000–£32,000 per year Tax Advisor (Insurance Sector) – £30,000–£40,000 per year Claims Processing Officer – £21,000–£28,000 per year

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Register on the Google Data Studio: Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Google Data Studio: Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Google Data Studio: Data Analytics Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Google Data Studio: Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Course Overview 00:01:00 Section 02: Google Sheets Format Data in Google Sheets 00:08:00 Sheets Function 2: Vlookup & Defined Range 00:10:00 Sheets Function 3: Cross Table Calculations 00:09:00 Section 03: Google Data Studio Connect Data to Google Data Studio 00:04:00 GDS Calculated Fields 00:08:00 GDS Theme Customization 00:07:00 GDS Page Layout Design 00:17:00 GDS Charts: Scorecards 00:12:00 GDS Charts: Time Series Graphs 00:09:00 GDS Blending and Joining Data Tables 00:07:00 GDS Charts: Bar, Donut, and Treemap 00:17:00 GDS Charts: Interactive Filters 00:05:00 GDS Project Page Completion 00:17:00 GDS Client Page Completion 00:11:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

In today’s data-driven landscape, the role of a Business Intelligence Analyst is pivotal to guiding organisations through the maze of numbers towards clear, actionable insights. This CPD accredited course offers a thorough exploration of data analysis techniques, reporting tools, and visualisation methods essential for making informed business decisions. Whether you're seeking to enhance your analytical prowess or pivot your career, this course provides the knowledge foundation necessary to interpret complex datasets and translate them into compelling narratives that influence strategy. Delivered entirely online, the training is designed to fit seamlessly around your schedule without any need for physical attendance. Expect to deepen your understanding of key BI platforms and sharpen your ability to extract meaningful trends and patterns. Alongside detailed modules, learners will develop the confidence to communicate findings effectively across teams, turning data into decisions that matter. It’s a smart choice for professionals looking to boost their credentials in a competitive market—minus the jargon, fuss, or unnecessary fluff. Course Curriculum: Module 01: An Introduction to Business Intelligence Module 02: Real-time Business Intelligence Module 03: Fundamentals of Statistics and Data Science Module 04: Fundamentals of SQL Module 05: Database Management Essentials Module 06: Data Warehouse Concepts Module 07: Data Visualisation in Business Intelligence Module 08: Basics of Python Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing Business Intelligence Analyst - CPD Accredited course. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Business Intelligence Analyst - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Business Intelligence Analyst - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Business Intelligence Analyst - CPD Accredited training.

You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.