How to Analyse & Maximize Restaurant Profits Course Overview This course on "How to Analyse & Maximize Restaurant Profits" offers comprehensive insights into understanding the financial dynamics of a restaurant business. It covers key concepts such as revenue analysis, menu optimisation, and cost control strategies to help learners identify areas of improvement for enhanced profitability. By the end of the course, learners will have a thorough understanding of the various factors influencing restaurant performance, from pricing strategies to inventory management. This course provides valuable skills that enable learners to make informed decisions that directly impact the bottom line of any restaurant business. Course Description In this course, learners will explore essential topics such as restaurant revenue analysis, menu engineering, and cost management. The course delves into the principles of profit maximisation, offering strategies to analyse sales data, optimise menu offerings, and manage food and labour costs efficiently. Learners will acquire skills in identifying profitable menu items, reducing waste, and increasing operational efficiency. This in-depth course is designed to equip participants with the knowledge and strategies needed to improve the profitability of a restaurant, ensuring they can make data-driven decisions to drive growth and sustainability. How to Analyse & Maximize Restaurant Profits Curriculum Module 01: Introduction Module 02: Restaurant Revenue Analysis Module 03: Menu Engineering Report Module 04: Cost Analysis & Management (See full curriculum) Who is this course for? Individuals seeking to understand restaurant profitability. Professionals aiming to enhance their skills in restaurant management. Beginners with an interest in the food and hospitality industry. Entrepreneurs looking to improve restaurant financial performance. Career Path Restaurant Manager F&B (Food and Beverage) Operations Manager Menu Analyst Financial Analyst in the hospitality industry Restaurant Owner/Entrepreneur
Vocal Disorders Course Overview This course provides a comprehensive exploration of vocal disorders, examining the physiological processes of voice production, the causes of voice disorders, and therapeutic interventions. Learners will gain insights into functional voice disorders and the principles behind effective diagnosis and management. The course is designed to equip participants with a thorough understanding of vocal health, offering valuable knowledge for anyone interested in the study and treatment of voice disorders. Upon completion, learners will be able to identify the underlying causes of voice issues and understand the therapeutic approaches to managing them. Course Description The "Vocal Disorders" course delves deeply into the mechanics of voice production, helping learners understand how the human voice functions and the factors that lead to voice disorders. Topics include the identification of causes, such as physical or psychological factors, and the exploration of functional disorders, such as hoarseness and vocal fatigue. Learners will examine various treatment options, focusing on voice therapy techniques and diagnostic principles. This course also provides a thorough grounding in the clinical aspects of vocal health, preparing learners to address and manage voice-related issues effectively. By the end of the course, participants will have developed a nuanced understanding of vocal disorders, their treatment, and management. Vocal Disorders Curriculum Module 01: Physiology of Voice Production Module 02: Causes of Voice Disorder Module 03: Functional Voice Disorders Module 04: Voice Therapy Module 05: Principles of Diagnosis and Management (See full curriculum) Who is this course for? Individuals seeking to understand vocal health and disorders Professionals aiming to specialise in speech therapy or vocal care Beginners with an interest in the science of voice and vocal disorders Anyone looking to develop expertise in the diagnosis and management of voice disorders Career Path Speech and language therapist Voice coach Otolaryngologist Vocal health specialist Speech pathology consultant
Corporate Process & Maintenance Course Overview: The "Corporate Process & Maintenance" course provides a comprehensive understanding of core administrative and operational processes within a corporate environment. It covers essential tasks such as managing priorities, maintaining office resources, and effectively communicating expectations. Learners will develop the skills necessary to initiate and complete tasks efficiently while managing administrative responsibilities. The course is designed to enhance organisational abilities and foster professional growth, making it valuable for anyone aiming to streamline corporate operations and improve workplace productivity. By the end of the course, learners will be equipped with the skills to manage office processes with confidence and precision. Course Description: This course delves into key aspects of corporate maintenance and process management, focusing on improving office operations. Key topics include prioritising and completing tasks, mastering communication and expectation management, and leveraging email software for strategic purposes. Learners will explore how to maintain office resources, provide administrative services like document production, and handle meeting necessities. Throughout the course, learners will gain valuable insights into effective office management, improving both individual and organisational performance. The course is structured to facilitate a deep understanding of corporate processes and ensure learners are prepared to handle various office-related responsibilities with efficiency and clarity. Corporate Process & Maintenance Curriculum: Module 01: Responsibility For Initiating And Completing Tasks Module 02: Managing Priorities And Time Module 03: Communicating And Managing The Expectations Module 04: Strategic Approach & Use Of Email Software Module 05: Maintenance Of Office Resources Module 06: Providing Administrative Services: Document Production Module 07: Meeting Necessaries & Documents (See full curriculum) Who is this course for? Individuals seeking to develop their office management skills Professionals aiming to enhance their organisational efficiency Beginners with an interest in corporate operations Those looking to improve administrative capabilities in the workplace Career Path Office Administrator Executive Assistant Administrative Coordinator Operations Manager Office Manager
The world of finance is evolving at breakneck speed—and employers aren’t just looking for degrees. They want skill-rich, business-savvy candidates who can handle pressure, think critically, and communicate clearly. The Corporate and Investment Banking Mini Bundle is built to get you hired in high-stakes financial environments—from analyst desks to compliance units. Whether you're aiming for corporate finance roles, investment banking, or business law advisory, this bundle arms you with the most in-demand career skills today: banking, finance, financial analysis, business law, and elite-level communication skills. Description Let’s be blunt: the finance industry doesn’t wait. If you want to break into banking or level up in financial analysis, the time to act is now. This bundle is your shortcut to building serious credibility in interviews and real-world scenarios. Banking recruiters, corporate clients, and consulting firms all want one thing—talent that speaks the language of finance and business law, backed by strong communication skills. And if you think technical knowledge alone is enough, think again. Today’s most employable candidates know how to present data clearly, negotiate deals with confidence, and translate complex financial analysis into strategy. That’s why communication skills are threaded through this entire bundle. Because it’s not just what you know—it’s how well you can share it. Still hesitating? Think about the roles you’re eyeing. Banking, finance, compliance, risk, mergers & acquisitions, client management—all demand cross-disciplinary fluency in financial analysis, business law, and high-level communication skills. Don’t let others get the edge while you stall. FAQ Is this bundle relevant for entry-level jobs? Absolutely. Whether you’re trying to break into banking or looking to add value in finance, this bundle gives you the right talking points and credibility. Financial analysis, business law, and strong communication skills can move your resume to the top of the stack. What industries can this apply to? Think beyond just banking. Corporate finance, asset management, investment advisory, legal compliance, fintech startups, and even government auditing all require deep understanding of financial analysis, business law, and professional communication skills. Why is this a smart investment now? Because the hiring landscape is competitive. And because this bundle compresses five high-value areas—banking, finance, financial analysis, business law, and communication skills—into one actionable track. It’s the kind of high-impact, low-cost decision that changes careers.
Boost your career prospects with the Excel Courses - Build Excel Skills Mini Bundle, tailored to make you highly hireable in industries relying on data, finance, administration, and HR. Master MS Excel, streamline workflows with Data Entry, sharpen your analytical edge through Mathematics, understand payroll essentials with Payroll, and enhance database skills using MS Access. This bundle delivers exactly what employers seek in candidates ready for operational and office-based roles. Whether you're aiming for roles in finance, administration, or HR, the combination of MS Excel, Data Entry, Mathematics, Payroll, and MS Access makes your profile stand out in a competitive job market. Don’t miss the chance to skill up and secure the position you deserve. Description The workplace demands professionals who can navigate spreadsheets, databases, and payroll systems efficiently. This bundle’s focus on MS Excel guarantees your ability to handle complex data, while Data Entry sharpens your speed and accuracy—skills recruiters value immensely. Employers look for candidates with strong foundations in Mathematics to ensure precise calculations, and with Payroll knowledge, you show readiness for HR or finance administration. Additionally, MS Access adds a critical edge for managing and querying databases, rounding out your technical toolkit. This is more than just learning tools—it’s about becoming a candidate employers actively pursue. Excel, Data Entry, Mathematics, Payroll, and MS Access are the must-have skills in today’s office jobs. Seize this bundle before your competition does. FAQ Q: What job roles does this bundle target? A: Roles in administration, finance support, HR assistant, data entry clerk, and office operations where MS Excel, Data Entry, Mathematics, Payroll, and MS Access are essential. Q: Can this bundle help with payroll processing jobs? A: Yes, the inclusion of Payroll ensures you're equipped for finance and HR roles involving salary and benefits management. Q: Why is Mathematics important here? A: Precise calculations and numerical confidence are crucial across all data and payroll-related tasks. Q: Does MS Access really add value? A: Absolutely. MS Access skills set you apart for roles that require database management beyond spreadsheets. Q: Will this help me get hired faster? A: Yes, hiring managers specifically look for candidates proficient in MS Excel, Data Entry, Mathematics, Payroll, and MS Access. Q: Is this bundle better than buying courses separately? A: Definitely. You get all five skills—MS Excel, Data Entry, Mathematics, Payroll, and MS Access—in one streamlined, affordable package.
The Happy Project Manager: Happiness at Work as Sustainable Competitive Advantage Research demonstrates that building and sustaining happiness at work leads to better organizational outcomes. This video will explore a model for assessing, enhancing, and sustaining happiness at work so that your projects have the greatest competitive advantage. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
The Happy Project Manager: Happiness at Work as Sustainable Competitive Advantage Research demonstrates that building and sustaining happiness at work leads to better organizational outcomes. This video will explore a model for assessing, enhancing, and sustaining happiness at work so that your projects have the greatest competitive advantage. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00
Create a fair, non-discriminatory and effective recruitment process, from deciding to hire through to onboarding. What you'll learn Design a fair and effective recruitment process Understand the primary legislation that covers recruitment in the UK and your responsibility as a recruiter Write an effective job description and person specification Write a fair and attractive job advert Understand how unconscious bias can affect recruitment decisions Fairly select and interview candidates Create an engaging induction and onboarding programme This course includes: 1.5 hours on-demand video Assignments 1 downloadable resource Access on mobile and TV Full lifetime access Certificate of completion Requirements The only requirement for this course is an interest in recruitment, and how to do it fairly Description Are you looking to recruit? Are you concerned about how to go about it? Are you unsure of how you make your recruitment campaign open to a diverse candidate base, and avoid discrimination? I can help with that... Making a recruitment decision is one of the most important decisions that a business will ever make. Whether you are taking on your first employee, taking on additional staff as your business grows, or looking to replace someone who has left, in today’s recruitment market, making sure that your recruitment process is fair and inclusive is so important. The recruitment market has changed so much in the past few years, and what candidates are looking for now is so different to 10 or even 5 years ago. Opening up your business to a more diverse and flexible workforce is becoming increasingly essential in you becoming an employer of choice. If you are looking to build an inclusive and effective recruitment process, then this course is for you, whether you are an employer, manager or supervisor. Over our time together we will work through the entire process, from making the decision to hire, through writing a job advertisement, the interview and right through to onboarding, and throughout we will be focussing on both the process and the legislation that affects recruitment in the UK. During the course we will cover: To hire or not to hire? What you need to think about before even starting the recruitment process The legal landscape: the key legislation that covers recruitment in the UK Understanding discrimination and bias, and what it means for the recruitment process How to manage your process to be inclusive to disabled candidates How to write effective and fair job descriptions and person specifications How to fairly advertise your job and reach a broad and diverse audience How to fairly shortlist and select your candidates How to hold an effective interview How to ensure you make the right hiring decision, for the right reasons The importance of induction and onboarding Who the course is for: Anyone who is interested in building a fair and inclusive recruitment process First time employers who want to get it right, first time Managers and supervisors with a responsibility for recruitment and an interest in diversity and inclusion HR professionals with an interest in recruitment and selection
Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course are Technology Consultants, System Administrators, System Architects, Database Administrators, Help Desk/COE Support, and Program/Project Managers. Overview Presentation in detail of the architecture of SAP NetWeaver Application Server (SAP NetWeaver AS).Learn effective techniques for navigating.Receive an overview of the development process in an SAP system landscape In this course, students gain knowledge about the fundamentals of SAP NetWeaver Application Server. SAP Systems Explaining the Key Capabilities of SAP NetWeaver Explaining the Architecture of an SAP System, Application Server (AS) ABAP and Application Server (AS) Java Navigation Basics Navigating with SAP Graphical User Interface (GUI) for Windows in AS ABAP Systems Navigating with a Browser in AS Java Systems System Core Explaining AS ABAP and AS Java System Architecture Identifying the Processes of an AS ABAP System Processing User Requests in AS ABAP Using Additional Processes of an AS ABAP System Explaining the Processes of an AS Java System Software Development in SAP Systems Outlining the Data Structure of an AS ABAP System Managing Transports in the ABAP Environment Explaining ABAP Workbench Tools Developing and Transporting an ABAP Repository Object Developing Applications in AS Java Developing Applications in Eclipse for ABAP Communication and Integration Technologies Describing Communication with Remote Function Call-Based (RFC) Technology Describing the Basics of Web Services Describing OData in SAP Gateway Application Lifecycle Management (ALM) Explaining Application Lifecycle Management (ALM) Describing the Installation of an SAP System Describing the Maintenance of an SAP System SAP Portfolio Overview Identifying the Platform, Database, and User Experience in the SAP Technology Portfolio Outlining Additional Components of the SAP Technology Portfolio Identifying the Components of the SAP Applications Portfolio SAP User Interfaces Accessing AS ABAP Systems with SAP GUI Accessing SAP Systems Using Other User Interfaces Additional Information Sources Accessing the SAP Service Marketplace (SMP) Accessing the SAP Community Network (SCN)