191 Courses

Register on the Machine Learning Basics 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 a digital certificate as a proof of your course completion. The Machine Learning Basics 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 Machine Learning Basics Receive an 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) Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £119. An extra £10 postage charge will be required for students leaving overseas.  CPD Accredited Certificate After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  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 Machine Learning Basics, 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 Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and Total Charge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for Total Charge 00:14:00 The 'Just Right' Model for Toral Charge: A More Detailed Error Analysis@@ 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 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.

Discover the powerful schedule and cost risk analysis features of PRA. Course overview Duration: 2 days (13 hours) Our Primavera Risk Analysis course gives a detailed introduction to the schedule and risk analysis features of Primavera Risk Analysis. It shows the powerful features of the tool and give hands on practice throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Primavera Risk Analysis, and no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import schedules into PRA Add three point estimates onto plans Perform schedule and cost analysis Use templated quick risk Run risk analysis Interpret results from the Risk Histogram and Tornado graph Add task percentiles to a Gantt chart Set up a risk register Add qualitative and quantitative risks Link risk to activities in the plan Create reports Use the Distribution Analyser Content Importing schedules Importing MSP and Primavera Schedules Running import checks Checking schedule integrity Schedule risk analysis 3 point estimating Entering uncertainly Different distributions Using quick risk Updating plan Importing plans with 3 point estimates Cost/Resource uncertainty Resource loadings Creating 3 point cost estimates Resource distributions and escalations Simple cost estimates Templated quick risk Setting up and applying templated quick risk Assessing risk at WBS level Running risk analysis Running risk analysis Interpreting results on the Risk Histogram Setting analysis options Task percentiles Setting task percentile options Including task percentiles on the Gantt chart Tornado graph Creating a Tornado graph Viewing sensitivity Analysing sensitivity against activities Setting up the risk register Setting Schema levels Defining criteria and tolerances Setting up a Risk Breakdown Structure (RBS) Working with manageability and proximity Saving scoring matrices Adding custom fields Exporting data Exporting to Excel, Word and PowerPoint Qualitive risks Setting risk IDs Adding risk cause, description and effect Setting up risk details Entering mitigation actions Quantitative risks Linking risks to activities Adding schedule and cost impacts Defining how multiple risks impact Correlation Migrating your plan Adding mitigation actions to your plan as tasks Linking tasks to mitigation actions Actioning your risk register Progressing risks Importing progressed plans Linking register to progressed plans Risk history The Waterfall chart Saving and reporting Exporting the risk register Running reports Creating new reports Building and comparing risk plans Using the distribution analyser Comparing dates and cost

Duration 5 Days 30 CPD hours This course is intended for This course is targeted towards the information technology (IT) professional that has a minimum 1 year IT Security and Networking experience. This course would be ideal for Information System Owners, Security Officers, Ethical Hackers, Information Owners, Penetration Testers, System Owner and Managers as well as Cyber Security Engineers. Overview Upon completion, the Certified Professional Ethical Hacker candidate will be able to competently take the CPEH exam. The CPEH certification training enables students to understand the importance of vulnerability assessments and how to implement counter response along with preventative measures when it comes to a network hack. Security Fundamentals Overview The Growth of Environments and Security Our Motivation? The Goal: Protecting Information! CIA Triad in Detail Approach Security Holistically Security Definitions Definitions Relationships Method: Ping The TCP/IP Stack Which Services Use Which Ports? TCP 3-Way Handshake TCP Flags Malware Types of Malware Types of Malware Cont... Types of Viruses More Malware: Spyware Trojan Horses Back Doors DoS DDoS Packet Sniffers Passive Sniffing Active Sniffing Firewalls, IDS and IPS Firewall ? First Line of Defense IDS ? Second Line of Defense IPS ? Last Line of Defense? Firewalls Firewall Types: (1) Packet Filtering Firewall Types: (2) Proxy Firewalls Firewall Types ? Circuit-Level Proxy Firewall Type of Circuit- Level Proxy ? SOCKS Firewall Types ? Application-Layer Proxy Firewall Types: (3) Stateful Firewall Types: (4) Dynamic Packet-Filtering Firewall Types: (5) Kernel Proxies Firewall Placement Firewall Architecture Types ? Screened Host Multi- or Dual-Homed Screened Subnet Wi-Fi Network Types Wi-Fi Network Types Widely Deployed Standards Standards Comparison 802.11n - MIMO Overview of Database Server Review Access Controls Overview Role of Access Control Definitions More Definitions Categories of Access Controls Physical Controls Logical Controls ?Soft? Controls Security Roles Steps to Granting Access Access Criteria Physical Access Control Mechanisms Biometric System Types Synchronous Token Asynchronous Token Device Memory Cards Smart Card Cryptographic Keys Logical Access Controls OS Access Controls Linux Access Controls Accounts and Groups Password & Shadow File Formats Accounts and Groups Linux and UNIX Permissions Set UID Programs Trust Relationships Review Protocols Protocols Overview OSI ? Application Layer OSI ? Presentation Layer OSI ? Session Layer Transport Layer OSI ? Network Layer OSI ? Data Link OSI ? Physical Layer Protocols at Each OSI Model Layer TCP/IP Suite Port and Protocol Relationship Conceptual Use of Ports UDP versus TCP Protocols ? ARP Protocols ? ICMP Network Service ? DNS SSH Security Protocol SSH Protocols ? SNMP Protocols ? SMTP Packet Sniffers Example Packet Sniffers Review Cryptography Overview Introduction Encryption Cryptographic Definitions Encryption Algorithm Implementation Symmetric Encryption Symmetric Downfalls Symmetric Algorithms Crack Times Asymmetric Encryption Public Key Cryptography Advantages Asymmetric Algorithm Disadvantages Asymmetric Algorithm Examples Key Exchange Symmetric versus Asymmetric Using the Algorithm Types Together Instructor Demonstration Hashing Common Hash Algorithms Birthday Attack Example of a Birthday Attack Generic Hash Demo Instructor Demonstration Security Issues in Hashing Hash Collisions MD5 Collision Creates Rogue Certificate Authority Hybrid Encryption Digital Signatures SSL/TLS SSL Connection Setup SSL Hybrid Encryption SSH IPSec - Network Layer Protection IPSec IPSec Public Key Infrastructure Quantum Cryptography Attack Vectors Network Attacks More Attacks (Cryptanalysis) Review Why Vulnerability Assessments? Overview What is a Vulnerability Assessment? Vulnerability Assessment Benefits of a Vulnerability Assessment What are Vulnerabilities? Security Vulnerability Life Cycle Compliance and Project Scoping The Project Overview Statement Project Overview Statement Assessing Current Network Concerns Vulnerabilities in Networks More Concerns Network Vulnerability Assessment Methodology Network Vulnerability Assessment Methodology Phase I: Data Collection Phase II: Interviews, Information Reviews, and Hands-On Investigation Phase III: Analysis Analysis cont. Risk Management Why Is Risk Management Difficult? Risk Analysis Objectives Putting Together the Team and Components What Is the Value of an Asset? Examples of Some Vulnerabilities that Are Not Always Obvious Categorizing Risks Some Examples of Types of Losses Different Approaches to Analysis Who Uses What? Qualitative Analysis Steps Quantitative Analysis ALE Values Uses ALE Example ARO Values and Their Meaning ALE Calculation Can a Purely Quantitative Analysis Be Accomplished? Comparing Cost and Benefit Countermeasure Criteria Calculating Cost/Benefit Cost of a Countermeasure Can You Get Rid of All Risk? Management?s Response to Identified Risks Liability of Actions Policy Review (Top-Down) Methodology Definitions Policy Types Policies with Different Goals Industry Best Practice Standards Components that Support the Security Policy Policy Contents When Critiquing a Policy Technical (Bottom-Up) Methodology Review Vulnerability Tools of the Trade Vulnerability Scanners Nessus SAINT ? Sample Report Tool: Retina Qualys Guard http://www.qualys.com/products/overview/ Tool: LANguard Microsoft Baseline Analyzer MBSA Scan Report Dealing with Assessment Results Patch Management Options Review Output Analysis and Reports Overview Staying Abreast: Security Alerts Vulnerability Research Sites Nessus SAINT SAINT Reports GFI Languard GFI Reports MBSA MBSA Reports Review Reconnaissance, Enumeration & Scanning Reconnaissance Overview Step One in the Hacking ?Life-Cycle? What Information is Gathered by the Hacker? Passive vs. Active Reconnaissance Footprinting Defined Social Access Social Engineering Techniques Social Networking Sites People Search Engines Internet Archive: The WayBack Machine Footprinting Tools Overview Maltego GUI Johnny.Ihackstuff.com Google (cont.) Domain Name Registration WHOIS Output DNS Databases Using Nslookup Traceroute Operation Web Server Info Tool: Netcraft Introduction to Port Scanning Which Services use Which Ports? Port Scan Tips Port Scans Shou

Overview This comprehensive course on CompTIA Security+ (SY0-601) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA Security+ (SY0-601) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this CompTIA Security+ (SY0-601). It is available to all students, of all academic backgrounds. Requirements Our CompTIA Security+ (SY0-601) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 164 lectures • 20:35:00 total length •Introduction to CompTIA Security+ SY0-601: 00:03:00 •About the CompTIA Security+ SY0-601 Exam: 00:03:00 •Defining Risk: 00:08:00 •Threats and Vulnerabilities: 00:07:00 •Threat Intelligence: 00:11:00 •Risk Management Concepts: 00:07:00 •Security Controls: 00:09:00 •Risk Assessments and Treatments: 00:06:00 •Quantitative Risk Assessments: 00:07:00 •Qualitative Risk Assessments: 00:04:00 •Business Impact Analysis: 00:09:00 •Data Types and Roles: 00:11:00 •Security and the Information Life Cycle: 00:09:00 •Data Destruction: 00:06:00 •Personnel Risk and Policies: 00:10:00 •Third-Party Risk Management: 00:09:00 •Agreement Types: 00:07:00 •Exam Question Review: 00:02:00 •Wiping Disks with the dd Command Lab: 00:06:00 •Ask Me Anything (AMA): 00:02:00 •Cryptography Basics: 00:16:00 •Data Protection: 00:09:00 •Cryptographic Methods: 00:07:00 •Symmetric Cryptosystems: 00:13:00 •Symmetric Block Modes: 00:08:00 •Asymmetric Cryptosystems: 00:13:00 •Diffie-Hellman: 00:07:00 •Hashing: 00:09:00 •Understanding Digital Certificates: 00:08:00 •Trust Models: 00:05:00 •Public Key Infrastructure: 00:04:00 •Certificate Types: 00:14:00 •Touring Certificates: 00:09:00 •Cryptographic Attacks: 00:05:00 •Password Cracking: 00:10:00 •Password Cracking Demo: 00:06:00 •Exam Question Review: 00:02:00 •SSH Public Key Authentication Lab: 00:09:00 •Ask Me Anything (AMA): 00:02:00 •Identification, Authentication, and Authorization: 00:08:00 •Enabling Multifactor Authentication: 00:05:00 •Authorization: 00:05:00 •Accounting: 00:05:00 •Authentication Methods: 00:14:00 •Access Control Schemes: 00:07:00 •Account Management: 00:13:00 •Network Authentication: 00:09:00 •Identity Management Systems: 00:06:00 •Exam Question Review: 00:02:00 •Creating LInux Users and Groups Lab: 00:06:00 •Ask Me Anything (AMA): 00:01:00 •Touring the CLI: 00:16:00 •Shells: 00:06:00 •The Windows Command Line: 00:05:00 •Microsoft PowerShell: 00:13:00 •Linux Shells: 00:12:00 •Python Scripts: 00:07:00 •Windows Command-Line Tools: 00:16:00 •Linux Command-Line Tools: 00:10:00 •Network Scanners: 00:05:00 •Network Scanning with Nmap: 00:09:00 •Network Protocol Analyzers: 00:08:00 •Using Wireshark to Analyze Network Traffic: 00:09:00 •Using tcpdump to Analyze Network Traffic: 00:08:00 •Log Files: 00:09:00 •Centralized Logging: 00:09:00 •Configuring Linux Log Forwarding: 00:08:00 •Exam Question Review: 00:03:00 •Lunux Shell Script Lab: 00:07:00 •Nmap Lab: 00:05:00 •Ask Me Anything (AMA): 00:02:00 •Malware: 00:14:00 •Weak Configurations: 00:12:00 •Common Attacks: 00:09:00 •Driver and Overflow Attacks: 00:08:00 •Password Attacks: 00:08:00 •Bots and Botnets: 00:06:00 •Disk RAID Levels: 00:10:00 •Securing Hardware: 00:11:00 •Securing Endpoints: 00:09:00 •Exam Question Review: 00:02:00 •Linux Software RAID Lab: 00:08:00 •Ask Me Anything (AMA): 00:02:00 •The OSI Model: 00:13:00 •ARP Cache Poisoning: 00:09:00 •Other Layer 2 Attacks: 00:05:00 •Network Planning: 00:07:00 •Load Balancing: 00:06:00 •Securing Network Access: 00:06:00 •Honeypots: 00:06:00 •Firewalls: 00:11:00 •Proxy Servers: 00:06:00 •Network and Port Address Translation: 00:07:00 •IP Security (IPsec): 00:09:00 •Virtual Private Networks (VPNs): 00:10:00 •Intrusion Detection and Prevention Systems (IDS/IPS): 00:13:00 •Exam Question Review: 00:03:00 •Linux Snort IDS Lab: 00:07:00 •Ask Me Anything (AMA): 00:01:00 •Wi-Fi Encryption Standards: 00:10:00 •RFID, NFC, and Bluetooth: 00:07:00 •Wi-Fi Coverage and Performance: 00:08:00 •Wi-Fi Discovery and Attacks: 00:12:00 •Cracking WPA2: 00:10:00 •Wi-Fi Hardening: 00:11:00 •Exam Question Review: 00:02:00 •WPA2 Cracking Lab: 00:06:00 •Ask Me Anything (AMA): 00:01:00 •Defining a Public Server: 00:01:00 •Common Attacks and Mitigations: 00:10:00 •Containers and Software-Defined Networking: 00:11:00 •Hypervisors and Virtual Machines: 00:08:00 •Cloud Deployment Models: 00:09:00 •Cloud Service Models: 00:08:00 •Securing the Cloud: 00:10:00 •Exam Question Review: 00:02:00 •Docker Container Lab: 00:04:00 •Ask Me Anything (AMA): 00:02:00 •Embedded Systems: 00:13:00 •Industrial Control System (ICS): 00:07:00 •Internet of Things (IoT) Devices: 00:10:00 •Connecting to Dedicated and Mobile Systems: 00:11:00 •Security Constraints for Dedicated Systems: 00:05:00 •Mobile Device Deployment and Hardening: 00:11:00 •Exam Question Review: 00:03:00 •Smartphone Hardening Lab: 00:03:00 •Ask Me Anything (AMA): 00:02:00 •Physical Security Overview: 00:01:00 •Physical Security: 00:10:00 •Keylogger Demo: 00:05:00 •Environmental Controls: 00:05:00 •Exam Question Review: 00:02:00 •Physical Security Lab: 00:03:00 •Ask Me Anything (AMA): 00:03:00 •DNS Security: 00:05:00 •FTP Packet Capture: 00:03:00 •Secure Web and E-mail: 00:02:00 •Request Forgery Attacks: 00:05:00 •Cross-Site Scripting Attacks: 00:07:00 •Web Application Security: 01:20:00 •Web App Vulnerability Scanning: 00:06:00 •Exam Question Review: 00:03:00 •OWASP ZAP Web App Scan Lab: 00:04:00 •Ask Me Anything (AMA): 00:02:00 •Testing Infrastructure Overview: 00:05:00 •Social Engineering: 00:06:00 •Social Engineering Attacks: 00:11:00 •Vulnerability Assessments: 00:09:00 •Penetration Testing: 00:10:00 •Security Assessment Tools: 00:12:00 •The Metasploit Framework: 00:08:00 •Exam Question Review: 00:02:00 •Hping3 Forged Packet Lab: 00:06:00 •Ask Me Anything (AMA): 00:02:00 •Incident Response Overview: 00:03:00 •Incident Response Plans (IRPs): 00:06:00 •Threat Analysis and Mitigating Actions: 00:08:00 •Digital Forensics: 00:12:00 •Gathering Digital Evidence: 00:10:00 •Business Continuity and Alternate Sites: 00:06:00 •Data Backup: 00:10:00 •Exam Question Review: 00:01:00 •Autopsy Forensic Browser Lab: 00:05:00 •Ask Me Anything (AMA): 00:02:00

Duration 3 Days 18 CPD hours This course is intended for This course is intended for beginner to intermediate business and requirements analysts who are looking to improve their elicitation and requirements writing and documentation skills. This course is also a great fit for technical writers, product and software testers, project managers, product owners who work closely with business analysts or who perform some for of business analysis themselves. Overview Understand the role of the business analyst and core competencies for performing successfully Discuss the criticality of business analysis and requirements for successful project outcomes Understand the main professional associations and standards supporting business analysts in the industry Discuss the common problems with requirements and explore approaches to address these issues Obtain a clear understanding of the various requirements types and the significance for eliciting each type Demonstrate your ability to identify stakeholders Explore various methods for understanding and analyzing stakeholders Discuss and apply good planning practices to requirements elicitation efforts Obtain knowledge and understanding of over 15 current and commonly applied elicitation techniques Understand how to progress from elicitation to analysis to documentation Write well-formed and validated requirements Gain understanding of the best practices for writing quality requirements Learn the technical writing techniques that apply directly to writing requirements documents Discuss writing pitfalls, risks that impact requirements, and how to address them Learn best practices for communicating and collaborating with stakeholders, sharing the results of elicitation and the resulting documentation Learn approaches for validating requirements Understand the difference between validating requirements and validating the solution With elicitation serving as a major component of the requirements process, it is imperative that business analysts maintain high competency levels in elicitation practices and technique use to help organizations overcome the requirements related challenges faced on projects. Regardless whether you are a practitioner just starting off your career in business analysis or whether you have been performing the role for some years, this course will provide insight into the latest thoughts on elicitation and writing effective requirements and present a number of current techniques that are being applied on projects across industries today. Review of Foundational Concepts Definition of a business analysis Definition of business analyst BA role vs. PM role Business analysis competencies Benefits of business analysis Purpose for having a BA standard IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Business analysis core concepts Discussion: Project challenges Understanding Requirements Common problems with requirements Understand the problem first Define the business need Situation statements and moving to requirements Understanding requirement types Business requirements Stakeholder/User Requirements Solution Requirements Functional Requirements Non-Functional Requirements Assumptions and Constraints Discussions: Requirement problems, business needs, and identifying non-functional requirements Discovering Stakeholders Definition of a stakeholder Stakeholder types Identifying stakeholders Performing stakeholder analysis Stakeholders and requirements Tips for identifying stakeholders Grouping stakeholders Creating a RACI model Tips for analyzing stakeholders Documenting results of stakeholder analysis Workshop: Discovering stakeholders Preparing for Requirements Elicitation Planning for elicitation Benefits of elicitation planning What do you plan? The elicitation plan Setting objectives for elicitation Determining the scope for elicitation Establishing pre-work Determining the outputs for the session The iterative nature of elicitation Elicitation roles Elicitation planning techniques Discussions: Who to involve in elicitation, planning impacts, and unplanned elicitation Workshop: Planning for elicitation Conduct Requirements Elicitation Elicitation skillset Types of elicitation techniques Using active listening in elicitation Techniques for performing elicitation Benchmarking/Market Analysis Brainstorming Business Rules Analysis Collaborative Games Concept Modeling Data Mining Data Modeling Document Analysis Focus Groups Interface Analysis Interviews Observation Process Modeling Prototyping Survey or Questionnaire Workshops Write Effective Requirements Elicitation and Analysis Requirements related issues Implications of bad requirements Elicitation and documentation Writing skillset Documenting requirements Modeling requirements Defining the project life cycle Impact of project life cycle on documentation Requirements specifications Characteristics of good requirements Guidelines for writing textual requirements Structuring a requirement Writing pitfalls Traceability Requirements attributes Risks associated to requirements Discussions: Project Life Cycle and Correcting Poorly Written Requirements Workshops: Documenting Requirements and Identify Characteristics of Good Requirements Confirm and Communicate Elicitation Requirements Business analysis communication Requirements communication Communication skills The 7 Cs Timing of communication Planning communication Importance of Collaboration Planning collaboration Documenting communication/collaboration needs Confirming elicitation results Verify requirements Characteristics of good requirements (revisited) Requirements checklist Requirements validation Signing off on requirements Discussions: Responsibility for Communication, Eliciting Communication Needs, Validation Signoff Workshops: Communicating Requirements and Obtaining Signoff Evaluate the Solution Business analyst role in solution evaluation Why solutions under perform What we are looking for in solution evaluation When does solution evaluation occur Performing solution evaluation Planning solution evaluation Metrics that might exist Evaluating long term performance Qualitative vs. quantitative measures Tools & techniques used in solution evaluation Comparing expected to actuals When solution evaluation discovers a variance Tools/techniques for analyzing variances Proposing a recommendation Communicating results of solution evaluation Discussion: Addressing Variance Wrap up and Next Steps Useful books and links on writing effective requirements BABOK© Guide Business Analysis for Practitioners: A Practice Guide Additional course details: Nexus Humans BA04 - Eliciting and Writing Effective Requirements training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the BA04 - Eliciting and Writing Effective Requirements course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. 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. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Overview This Quality Management and Strategic Training course will unlock your full potential and will show you how to excel in a career in Quality Management and Strategic Training. So upskill now and reach your full potential. Everything you need to get started in Quality Management and Strategic Training is available in this course. Learning and progressing are the hallmarks of personal development. This Quality Management and Strategic Training will quickly teach you the must-have skills needed to start in the relevant industry. In This Quality Management and Strategic Training - ISO 9001 Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Quality Management and Strategic Training - ISO 9001 skills to help you advance your career. Acquire a comprehensive understanding of various Quality Management and Strategic Training - ISO 9001 topics and tips from industry experts. Learn in-demand Quality Management and Strategic Training - ISO 9001 skills that are in high demand among UK employers, which will help you to kickstart your career. This Quality Management and Strategic Training course covers everything you must know to stand against the tough competition in the Quality Management and Strategic Training field.  The future is truly yours to seize with this Quality Management and Strategic Training. Enrol today and complete the course to achieve a Quality Management and Strategic Training certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Quality Management and Strategic Training course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Quality Management and Strategic Training course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Quality Management and Strategic Training course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Quality Management and Strategic Training is suitable for anyone aspiring to start a career in Quality Management and Strategic Training; even if you are new to this and have no prior knowledge on Quality Management and Strategic Training, this course is going to be very easy for you to understand.  And if you are already working in the Quality Management and Strategic Training field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Quality Management and Strategic Training course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Quality Management and Strategic Training course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Quality Management and Strategic Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Quality Management and Strategic Training course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Structure Course Structure 00:07:00 Critical Definitions What is Quality 00:00:00 What is ISO 00:08:00 What is a System - Management System 00:02:00 What is Policy - Quality Policy 00:06:00 What is Vision, Mission & Strategy 00:03:00 QA Vs QC 00:06:00 Effectiveness Vs Efficiency 00:06:00 Verification Vs Validation 00:11:00 Conformity Vs Nonconformity Vs Defect 00:04:00 Correction Vs Corrective Action Vs Preventive Action 00:08:00 Risk & Preventive Action 00:06:00 What is Competence 00:03:00 What is the Context of the Organization 00:05:00 Who are the Interested parties 00:03:00 What are the Needs & expectations 00:05:00 Management System Requirements 00:01:00 Who is a customer 00:02:00 What is Customer Satisfaction 00:06:00 Product Vs Service Vs Process 00:05:00 Document Vs Record 00:06:00 What is Customer Complaint 00:02:00 Measuring Vs Monitoring Vs Performance 00:02:00 Who is Responsible Who is Responsible 00:12:00 Responsibility Vs Accountability 00:02:00 Quality Management Principles Quality Management Principles 00:17:00 Major Changes ISO 9001:2015 Core Concepts 00:08:00 Major terminology Differences 00:04:00 Documented Information 00:07:00 Major changes - Organizational Knowledge 00:05:00 Major changes - Risk Based Thinking 00:06:00 Process Approach Process Approach Concept-1 00:04:00 What is PDCA 00:05:00 Process Approach Concept-2 00:03:00 Process Approach in ISO 9001:2015 00:04:00 Key Benefits 00:07:00 PDCA in ISO 9001 2015 00:10:00 Context of the Organization Understanding the Organization and its Context 00:08:00 Internal & External issues 00:03:00 SWOT Analysis 00:06:00 Interested Parties & their Needs & Expectations 00:03:00 KANO Model 00:10:00 Understanding the context - Summary 00:08:00 Choosing your Strategic Objective 00:05:00 Strategic Map Examples-1 00:03:00 Strategic Planning Process 00:06:00 What is a Vision 00:06:00 How to Create a Vision Statement 00:08:00 What is a Mission 00:06:00 SMART GOAL 00:06:00 SMART Goal Example 00:04:00 Strategic Map Examples-2 00:10:00 Context Chapter Summary 00:07:00 Quality Objectives Quality Objectives & Planning 00:05:00 ISO & SMART 00:02:00 Objectives Origin 00:06:00 Objectives Examples 00:07:00 Goal Vs Objective-1 00:07:00 Goal Vs Objective Example 00:02:00 Goal Vs Objective-2 00:10:00 Performance Evaluation Performance Evaluation in ISO 9001:2015 00:10:00 Customer Satisfaction 00:06:00 Analysis & Evaluation 00:12:00 Key Performance Indicators 00:08:00 Dashboard Examples 00:07:00 Management Review Meetings 00:11:00 Improvement 00:16:00 Nonconformity & Corrective Action 00:06:00 Nonconformity & Corrective Action Example 00:06:00 Nonconformity & Corrective Action Origin 00:06:00 Continual Improvement 00:01:00 Analysis Mindset 00:09:00 Quantitative Vs Qualitative 00:16:00 Now What Now What? 00:11:00 Course Summary 00:10:00 Helpful Tools SIPOC 00:06:00 Flowcharts 00:04:00 Control Charts 00:04:00 Cause and Effect Diagram 00:06:00 Pareto Chart 00:07:00 5 WHYs 00:03:00 Other Tools 00:08:00 Finally! 00:01:00 See you soon Bonus Lecture 00:02:00

Let's build sophisticated visualizations and dashboards using Sankey diagrams and geospatial, sunburst, and circular charts and animate your visualizations. We will also cover advanced Tableau topics, such as Tableau parameters and use cases and Level of Detail (LOD) expressions, spatial functions, advanced filters, and table calculations.

Highlights of the Course Course Type: Online Learning Duration: 11 Hours 11 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about retail analytics and management Understand the core competencies and principles of retail analytics and management Explore the various areas of retail analytics and management Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert retail manager Retail Analytics In Microsoft Excel Course Master the skills you need to propel your career forward in Microsoft excel. This course will equip you with the essential knowledge and skillset that will make you a confident office admin and take your career to the next level. This comprehensive retail analytics in Microsoft excel course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this retail analytics in Microsoft excel course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective Microsoft excel practice and equip you with the essential skills, confidence and competence to assist you in the Microsoft excel industry. You'll gain a solid understanding of the core competencies required to drive a successful career in Microsoft excel. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for office admin or for people who are aspiring to specialize in Microsoft excel. Enroll in this retail analytics in Microsoft excel course today and take the next step towards your personal and professional goals. Earn industry-recognized credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive retail analytics in Microsoft excel course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this Microsoft excel can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This retail analytics in Microsoft excel course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This retail analytics in Microsoft excel 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 could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This retail analytics in Microsoft excel course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. 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. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. 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. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course Introduction Introduction 00:03:00 Part 1: Forecasting Basics of Forecasting 00:05:00 Creating Linear Model with Trendlines 00:08:00 1.1 Getting Data Ready For Regression Model Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Univariate analysis and EDD 00:03:00 Discriptive Data Analytics in Excel 00:10:00 Outlier Treatment 00:04:00 Identifying and Treating Outliers in Excel 00:04:00 Missing Value Imputation 00:03:00 Identifying and Treating missing values in Excel 00:04:00 Variable Transformation in Excel 00:03:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy Variable Creation in Excel 00:07:00 Correlation Analysis 00:09:00 Creating Correlation Matrix in Excel 00:08:00 1.2 Forecasting Using Regression Model The Problem Statement 00:01:00 Basic Equations and Ordinary Least Squares (OLS) method 00:08:00 Assessing accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy: RSE and R squared 00:07:00 Creating Simple Linear Regression model 00:02:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting results of Categorical variables 00:05:00 Creating Multiple Linear Regression model 00:07:00 1.3 Handling Special Events Like Holiday Sales Forecasting in presence of special events 00:02:00 Excel: Running Linear Regression using Solver 00:08:00 Excel: Including the impact of Special Events 00:22:00 1.4 Identifying Seasonality & Trend for Forecasting Models to identify Trend & Seasonality 00:06:00 Excel: Additive model to identify Trend & Seasonality 00:09:00 Excel: Multiplicative model to identify Trend & Seasonality 00:06:00 Market Basket Analysis Market Basket and Lift - Introduction 00:08:00 Named Ranges - Excel 00:10:00 Indirect Function - Excel 00:05:00 2-way lift calculation in Excel 00:11:00 2-way lift calculation - Dynamic 00:07:00 2-way lift data table creation 00:07:00 3-way lift calculation 00:19:00 Store Layout optimization using Lift values 00:15:00 RFM (Recency, Frequency, Monetary) Analysis RFM (recency, frequency, monetary) Analysis 00:08:00 RFM Analysis in Excel- Part 1 00:16:00 RFM Analysis in Excel- Part 2 00:12:00 Part 2: Pricing Part 2: Pricing Steps of setting a Pricing policy 00:03:00 Different Pricing Objectives 00:07:00 2.1 Estimating Demand Estimating Demand 00:07:00 Forms of Demand Curve 00:02:00 Excel: Estimating Linear Demand Curve 00:08:00 Excel: Estimating Power Demand curve with Elasticity 00:05:00 Excel: Estimating Power Demand Curve with points 00:03:00 Subjective Demand curve 00:01:00 Excel: Estimating Subjective Demand Curve 00:02:00 2.3 Evaluating Pricing Strategies Price Bundling 00:07:00 Types of Bundling 00:08:00 The Bundling Problem 00:04:00 Excel: Solving Bundling problem Part 1 00:14:00 Excel: Solving Bundling problem Part 2 00:08:00 Non-Linear Pricing Strategies 00:03:00 Excel: Solving Bundling problem (Price Reversal) 00:08:00 3.1 Lifetime Customer Value Lifetime Customer Value - Key concepts 00:09:00 Lifetime Customer Value - Excel model 00:11:00 3.2 Variations And Sensitivity Analysis Sensitivity Analysis in Excel 00:07:00 Variations in finding customer value 00:07:00 Appendix 1: Excel Crash Course Basics 00:08:00 Worksheet Basics 00:16:00 Entering values and Formulas 00:07:00 Data Handling Basics - Cut, Copy and Paste 00:14:00 Saving and Printing - Basics 00:09:00 Basic Formula Operations 00:13:00 Mathematical Formulas 00:19:00 Textual Formulas 00:17:00 Logical Formulas 00:11:00 Date-Time Formulas 00:07:00 Lookup Formulas ( V Lookup, Hlookup, Index-Match ) 00:08:00 Data Tools 00:19:00 Formatting data and tables 00:18:00 Pivot Tables 00:08:00 Advance Excel- Solver, Data tables 00:15:00 Assessment Assessment - Retail Analytics In Microsoft Excel 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Our courses have been designed by experienced teachers to make getting TEFL qualified as convenient as possible. These online courses are entirely self-paced, meaning you can fit study around your life in a way that works best for you. Throughout the course, you will have the support of your own personal tutor who is with you from beginning to end to mark your work, provide helpful feedback, and answer all your questions. 120-hour Premier Online TEFL Course: 50-hour Online TEFL Course Learn about classroom management, teaching styles and advanced TEFL methodology. Includes units on business English, young learners, and teaching English one-to-one. Study with a personal tutor and meet fellow students on our course forums. 30-hour Online Grammar Course Do not know your irregular verbs from auxiliary verbs? This course will improve your basic grammar and give you the grounding you will need to communicate complicated language rules to a student audience. 20-hour Online Video Course Seeing an English teacher in action is a potent learning tool and really brings the theory to life. Feel free to steal the ideas in these video courses to use in your first lessons. We do not mind! Two 10-hour specialist mini-modules. Two mini-modules designed for specific TEFL jobs, which will help your CV stand out. One 10-hour unit is about teaching online, and the other 10-hour unit will help you teach large classes. Included in the 120-hour Premier Online TEFL Course: Lifetime access to the TEFL Job Centre The TEFL Virtual Educators course doesn’t just train you to teach; it helps you find and be offered great TEFL jobs around the world. From exclusive access to our job vacancies to a lifetime of free TEFL career advice, we’re here to help you kick-start your new career. Internationally recognised TEFL certificate – hard copy & PDF A widely-recognised certificate posted straight to your door which shows your achievements on our course, something you can show to TEFL employers to secure you a job. Personal online TEFL tutor Work through your course with the help of an experienced and qualified TEFL tutor. Throughout the course, you’ll have the same tutor, so you have one point of contact for advice and assistance. Online TEFL Class breakdown Lesson Planning Teaching English Vocabulary Teaching Pronunciation Understanding English Grammar Teaching Receptive Skills: Listening and Reading Teaching Productive Skills: Speaking and Writing Teaching English Grammar Principles of Teaching English as a Foreign Language Materials and Aids for Teaching English/Classroom Management Strategies Using Resources Effectively when Teaching English as a Foreign Language Case Study, CV and Cover Letter, Job Sites and Resources You will explore the latest theories in topics such as second language acquisition and social discourse and have the chance to apply these to your own classroom practice and curriculum development. You will also learn to conduct your own research, compile and analyse qualitative and quantitative data and develop your critical-evaluative skills. These skills will be used on your own research project at the end of the course, as well as in your future career. Core modules: Second Language Acquisition You will focus on the major themes that have emerged from literature on second language learning over the last three decades. You will examine some of the research on the second-language acquisition process, look critically at reports of second-language research, and examine some of the theories which endeavour to interpret research evidence. You will be encouraged to use your own language learning and teaching experience to assess the relative merits of such materials. Discourse in Society You will examine the relationship between language and society and the construction of discourse in various domains. You will explore sociological and sociolinguistic models and theories, such as speech communities, communities of practice and ethnolinguistic vitality, with a particular focus on social variation and stratification across various linguistic levels (phonology, lexicon, syntax). You will explore discourse's notion (or notions) in both its linguistic and wider meaning and its construction in and through society and language use. You will study methods for collecting and transcribing data and discover various linguistic and discourse analysis approaches. These methods and approaches will then be put into context and used in the analysis of the relevant social spheres and domains, such as educational or institutional discourse. Research Methods in Applied Linguistics This module will provide you with an introduction to research methods in preparation for the MA dissertation. It will familiarise you with the basic processes of conducting research, including general methodological approaches as well as research ethics. You will analyse and discuss both qualitative and quantitative data in order to develop your critical-evaluative skills. Materials and Course Design You will explore the factors involved in the design of language courses and teaching materials, reflecting on one possible course design process. You will start with an analysis of the context in which the course will take place, the needs of the learners, and current theories of language and language learning. You will move on to consider how course content can be selected and ordered in a principled way, how assessment relates to course design, and how and when courses should be evaluated. Finally, you will consider the evaluation, adaptation, and creation of course materials. Classroom Theory and Practice You will examine current research on modern classroom operations, exploring key concepts and issues through relevant professional and academic literature. A more practical element will be realised through filmed observation of teachers in practice. You will also be encouraged to reflect on your teaching and learning experience and analyse and discuss your beliefs and attitudes towards learning and teaching. Major Project This module will support you in the preparation and submission of a master’s dissertation, allowing you to explore in-depth a particular topic that reflects your academic interest. Assessment You will show your understanding of theoretical issues and their practical application through a combination of portfolios, classroom observation tasks and critical essays. After completing your final module, you will also research and prepare a 15,000-word dissertation.