2195 Decision Making courses in Longton delivered On Demand

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

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning 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. 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. 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 Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Navigating the ups and downs of penny stock trading doesn’t need to feel like guesswork. This course cuts through the noise and brings structure to one of the most unpredictable corners of the trading world. Whether you're exploring penny stocks out of curiosity or determined to refine your approach, this course presents tested strategies and pattern recognition techniques tailored specifically for consistent performance in volatile markets. Expect well-paced lessons that focus on timing, analysis, and key decision-making moments within the trading cycle. You'll gain a clear understanding of typical behavioural patterns of low-cap stocks, how seasoned traders spot movement before it happens, and ways to approach your trades with a level head—regardless of what the market throws your way. This is for learners who appreciate precision, consistency, and smart decision-making in a highly competitive arena. Learning Outcomes Understand the fundamental and technical analysis of stocks. Develop a trading strategy based on momentum and breakouts. Analyse the morning gap and its impact on trading. Distinguish between penny and blue-chip stocks and their trading patterns. Learn to set up a trading platform and practice risk-free trading. Apply the acquired knowledge to make consistent profits in day trading. Course Curriculum: Module 01: Day Trading Module 02: Penny Stocks vs. Blue Chip Stocks Module 03: Technical Analysis Module 04: Fundamental Analysis Module 05: Buying Breakouts Module 06: Momentum Trading Strategy Module 07: Morning Gap Strategy Module 08: Analysis and Examples of Strategy Module 09: Setting Up Trading Platform Module 10: Practice Risk Free Trading How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Stockbroker - Average salary of £50,000 per year. Financial Analyst - Average salary of £40,000 per year. Day Trader - Average salary of £55,000 per year. Investment Banker - Average salary of £70,000 per year. Hedge Fund Manager - Average salary of £80,000 per year. Portfolio Manager - Average salary of £60,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Navigating stakeholder relationships isn’t just a matter of communication—it’s an art form rooted in clarity, consistency, and a sharp understanding of interests that drive decision-making. This CPD Accredited Stakeholder Management course is tailored to help learners appreciate the nuances of stakeholder dynamics and develop strategies for building constructive, goal-aligned relationships. Whether you're coordinating a project, managing a team, or shaping policy, understanding stakeholders is vital to moving things forward smoothly and efficiently. Through structured modules and expert-led resources, learners are guided to explore stakeholder identification, influence mapping, conflict resolution strategies, and decision engagement—all delivered in a way that fits around modern digital lifestyles. No classrooms, no commutes—just straightforward, accessible learning designed for people who are serious about improving communication, alignment, and outcomes in their projects or organisations. Course Curriculum: Module 01: Introducing Stakeholder Management Module 02: Stakeholder Theories Module 03: Stakeholder Mapping Module 04: Building Strong Business Relationships With Stakeholders Module 05: Stakeholder Engagement Module 06: Stakeholder Engagement Through Effective Communication Module 07: Monitoring and Evaluating the Engagement Module 08: Managing Stakeholder Conflict Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Stakeholder Management - 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 Stakeholder Management - CPD Accredited training.

The Management Training & Leadership Courses Mini Bundle is where future leaders meet straightforward learning. With content covering Team Leader, Communication Skills, Coaching and Mentoring, Problem Solving, and Occupational Therapy, it’s designed to help you manage teams, guide people, and deal with the daily dramas that make management interesting. Whether you’re leading a project or just trying to get your team to answer emails on time, this bundle gives you tools that help without making things overly complex. From communication basics to mentoring approaches, it’s an easy route to growing into someone people trust to get things sorted (with only a mild caffeine dependency). Learning Outcomes: Manage team roles and responsibilities with better coordination. Apply effective verbal and written communication techniques. Support staff development through coaching and mentoring skills. Resolve issues through structured problem-solving processes. Understand key support concepts from occupational therapy. Improve leadership mindset with structured management methods. Who is this Course For: Team leaders seeking clearer communication and delegation skills. Supervisors managing people in remote or hybrid settings. Staff responsible for supporting others' growth and development. Individuals dealing with frequent workplace decision-making. Professionals working with vulnerable groups or support teams. Coordinators managing time, stress, and unexpected issues. Managers refining their problem-solving and people skills. Anyone unsure how to be “the responsible one” gracefully. Career Path: Team Leader – £28,500/year Line Manager – £31,000/year Mentoring Coordinator – £30,000/year Support Services Manager – £32,000/year Occupational Therapy Assistant – £25,500/year Project Supervisor – £30,000/year

The Management Skills Training Mini Bundle is built for those who manage people, deadlines, or both—often at the same time. With focused lessons in Team Leader, Problem Solving, Stress Management, GDPR, and Communication Skills, this bundle helps bring order to workplace chaos (without needing a panic button). It’s ideal for supervisors, coordinators, or anyone who’s ever had to write a polite email while fuming inside. Tidy up your workflow, avoid GDPR headaches, and keep your cool—all while learning at your own pace. The Management Skills Training Mini Bundle is designed for clarity, not complexity. Learning Outcomes: Manage teams and delegate responsibilities with better clarity. Handle stressful situations with calm, collected responses. Improve workplace communication through active listening techniques. Solve internal challenges using structured thinking approaches. Apply GDPR principles in everyday digital communication. Strengthen leadership confidence through knowledge, not guesswork. Who is this Course For: Managers dealing with team challenges and responsibilities. Coordinators aiming for better stress and people management. Professionals working with GDPR-related documents or data. Team leads looking for a communication refresh. Staff in charge of decision-making and staff feedback. Office supervisors balancing tasks, emails, and phone calls. Anyone expected to “sort it out” at work. Individuals new to managing or leading small teams. Career Path: Team Leader – £28,500/year Office Manager – £31,000/year People Operations Coordinator – £30,000/year Project Support Officer – £27,000/year Compliance Administrator – £29,500/year Internal Communications Officer – £28,000/year

This mini bundle isn’t about playing with toy trains—it’s geared for adults thinking about the rail industry, with a sensible introduction to the key areas that support driving roles. From car maintenance and problem solving to leadership and supply chain logic, each module complements the steady, structured mindset expected in rail transport. You’ll learn how to manage situations calmly, communicate clearly, and understand how logistical systems operate—without touching a track or wearing a hi-vis jacket. A solid first step for anyone looking at the transport industry with a practical head and a patient outlook. 🟪 Learning Outcomes: Understand vehicle mechanics and basic maintenance principles. Communicate clearly and effectively within team-based environments. Solve problems calmly with structured decision-making approaches. Coordinate and support team operations in transport settings. Learn supply chain flows and their role in rail logistics. Develop situational awareness and transport sector knowledge. 🟪 Who Is This Course For: Individuals interested in structured rail or driving careers. Learners considering transport and vehicle-related sectors. Customer service staff seeking operations knowledge. Delivery staff exploring train-based logistics pathways. Transport admin workers learning systems and team roles. Entry-level logistics support staff broadening understanding. Jobseekers eyeing the train industry or depot work. Anyone curious about structured rail operations environments. 🟪 Career Path (UK Average Salaries): Train Driver – £58,000/year Rail Operations Assistant – £30,000/year Transport Coordinator – £29,000/year Fleet Maintenance Scheduler – £28,000/year Logistics Support Administrator – £27,000/year Rail Team Supervisor – £32,000/year

Probation and prison officers walk the line between order and second chances. This mini bundle explores the core responsibilities of both fields, from communication and security protocols to team leadership and problem-solving under pressure. No judge’s gavel needed—just a strong sense of structure. The course selection supports clarity in decision-making, team management and interpersonal communication—skills essential when working in complex and often emotionally charged environments. Whether you're working in custody or out in the community, it all comes back to people and process. 🟪 Learning Outcomes: Understand core principles of probation and custodial settings. Communicate professionally across justice-related environments. Solve workplace issues using calm, structured approaches. Apply basic leadership practices to coordinate team activity. Manage challenging behaviours with balanced, consistent responses. Support individuals while maintaining order and boundaries. 🟪 Who Is This Course For: Entry-level staff aiming for probation or prison roles. Jobseekers interested in rehabilitation-focused justice work. Security staff moving into justice-sector team settings. Professionals preparing for HMP or probation interview stages. Support officers handling documentation and safety matters. Staff supporting vulnerable adults under supervision. Individuals aiming to work with offender rehabilitation services. Officers involved in community-based sentence support roles. 🟪 Career Path (UK Average Salaries): Probation Officer – £32,000/year Prison Officer – £30,000/year Rehabilitation Support Officer – £28,000/year Offender Case Administrator – £26,000/year Community Supervision Coordinator – £29,000/year Security and Risk Advisor (Justice Sector) – £31,000/year

Health records aren’t just paperwork—they're essential data for decision-making. This bundle focuses on how health information is structured, coded, and handled in ways that support patient care, reporting, and audits. With topics ranging from biology to GDPR, you’ll get a data-driven view of healthcare admin. Perfect for those drawn to structured detail and accuracy, this bundle helps you understand how medical coding ties into everything from public health reports to the work of biomedical engineers. It’s the go-to route for those wanting a career that mixes healthcare with logic and systems. Learning Outcomes: Understand basic biology related to clinical information. Explore public health and its use of recorded data. Learn how health codes are structured and applied correctly. Get to know biomedical data in relation to admin systems. Understand patient data rights under GDPR guidelines. Develop structured habits for clear and accurate recordkeeping. Who Is This Course For: Individuals seeking roles in medical administration. Beginners interested in clinical coding foundations. Learners wanting better health data management skills. People drawn to structure, systems, and healthcare detail. Admin staff working within health or social care. Applicants preparing for NHS data or audit work. Students looking at biomedical or health information roles. Anyone focused on accuracy and documentation in healthcare. Career Path (UK Average Salaries): Clinical Coder – £28,000/year Health Records Officer – £23,500/year Data Quality Analyst – £30,000/year Public Health Administrator – £29,000/year GDPR Compliance Coordinator – £31,000/year Medical Audit Assistant – £26,500/year

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