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Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Bookkeeper and Financial Analysis bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega bundle that will exceed your expectations within your budget. The Bookkeeper and Financial Analysis related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Bookkeeper and Financial Analysis bundle will help you build a solid foundation to become a proficient worker in the sector. This Bookkeeper and Financial Analysis Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:Quickbooks Online Course 02:Quickbooks Desktop Course 03:Bookkeeper Training Course Course 04:Accounts Clerk Training Course (Bookkeeping) - Level 1 Course 05:Xero Accounting and Bookkeeping Online Course 06:Bookkeeping for Business Accounting Course 07:Fundamentals of Zero Based Budgeting Course 08:Dynamic Excel Gantt Chart and Timelines Course 09:Excel Vlookup, Xlookup, Match and Index Course 10:Basic Data Analysis Course 11:Personal Productivity Course Course 12:Touch Typing Essentials Course 13:Purchase Ledger Course 14:Key Account Management Course Course 15:Anti-Money Laundering (AML) Training Course 16:Debt Management - Online Course Course 17:Cost Control Process and Management Course 18:Making Budget & Forecast Course 19:Financial Analysis Course 20:Finance Principles Course 21:Document Control Course 22:Presenting Financial Information Course 23:Financial Wellness: Managing Personal Cash Flow Course 24:Pension UK Course 25:Excel for Bookkeeping Course 26:Payroll Management Course Course 27:Sage 50 Accounts Course 28:Tax Accounting Course 29:Introduction to Accounting Course 30:Applied Accounting 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcome This tailor-made Bookkeeper and Financial Analysis bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Bookkeeper and Financial Analysis Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Bookkeeper and Financial Analysis bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Bookkeeper and Financial Analysis Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

Discover the art of furniture restoration and interior decorating with our comprehensive course. Master wood finishing techniques, explore historical furniture periods, and develop skills in room analysis and decor selection. Perfect for aspiring restorers, decorators, and DIY enthusiasts.

Duration 5 Days 30 CPD hours This course is intended for This is an intermediate course for POWER i administrators, IBM Business Partners, and anyone else who would like practical knowledge of the features and functions supported by BRMS. Overview Describe the major features and functions of BRMS List the steps to install BRMS on a single system or in a BRMS Network environment Implement a previously defined backup and recovery strategy using BRMS Implement a previously defined archival and retrieval plan, including dynamic retrieval, using BRMS Explain how to utilize a tape drive, tape library system, virtual tape, and optical drive with BRMS Implement and use BRMS using the green screen, System i Navigator, and IBM Navigator for i This course covers the features & functions supported by Backup Recovery & Media Services (BRMS). Learn how to perform the supported functions when using a 5250 emulation session, when using System i Navigator, & when using IBM Navigator for i. Overview of BRMS . Installing BRMS . BRMS policies overview . Media devices and encryption using software and hardware . Overview and implementation of virtual tape, DVD, and optical device support . Creating a simple backup control group . BRMS log . Saving IFS data . Working with backup lists . Parallel save, user exits, and save-while-active . Performing a backup and full system backup . Other backup topics i . Storage locations . Containers . Move management . Media class . Media policies . Media topics . BRMS networking . Scheduling BRMS jobs . Daily maintenance . BRMS reports . Recovery . Tape duplication and label print . Functional usage . Archive . Retrievaltion . TSM Client and BRMS on IBM i . BRMS Enterprise . Summary .

Planning a project without a clear strategy is like assembling furniture without the instructions—frustrating and usually a bit wonky. This course offers a solid, no-nonsense guide to planning and executing projects with focus, structure and strategy. Whether you’re managing a team or working solo, you’ll gain a step-by-step understanding of what needs doing, when to do it and how to make sure nothing slips through the cracks. Expect practical insights into building timelines, managing expectations and keeping everything moving—without losing your sanity. Project management is more than just coloured charts and ticking boxes; it’s about making decisions that stick and managing people without constantly refreshing your inbox. In this course, you'll learn how to set objectives that actually mean something, align resources like a seasoned planner, and keep things on track when things go sideways (because they do). It’s perfect for anyone who needs a sharp, structured grip on project planning and delivery—without the fluff or fuss. All online, all at your pace. ________________________________________________________________________ Key Features: CPD Certified 11 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Advanced Diploma in Project Management at QLS Level 7 Module 01: Introduction to Project Management Module 02: PMBOK and PMI Module 03: Global Project Management Module 04: Project Life Cycle Module 05: Time Management Module 06: Quality Management Module 07: Effective Planning & Scheduling Module 08: Human Resource Management Module 09: Performance Management Module 10: Talent Management Module 11: Organising Meeting and Conferences Module 12: Managing Resources Module 13: Change Management Module 14: Business Resilience and Crisis Management Module 15: Conflict Management Module 16: Stress Management Module 17: Communication Skills Module 18: Procurement & Purchasing Management Module 19: Risk Management Project Planning and Execution Module 01: Key Concepts (I) Module 02: Key Concepts (II) Module 03: Initiation (I) Module 04: Initiation (II) Module 05: Planning (I) Module 06: Planning (II) Module 07: Planning Tools Module 08: Executing the Project Module 09: Maintaining and Controlling the Project Module 10: Closing Out Module 11: Communication Skills Module 12: Managing Meetings and Giving Feedback Module 13: Organisational Skills Module 14: Conflict Management Module 15: Stress Management ________________________________________________________________________ Complete Career Guide for Project Management : Project Planning and Execution(A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Project Organizing. In addition to mastering the essentials of Project Organizing, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Project Organizing. Your dream career starts here! List of career guide courses included in Project Management : Project Planning and Execution With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Gain a comprehensive understanding of the concepts and practices of project administration. Apply PMBOK and PMI concepts effectively in project scenarios. Develop skills for managing projects on a global scale. Effective Planning and Execution: Master the art of planning, scheduling, and executing projects efficiently. Effectively manage talent, human resources, and performance. Proficiently handle risks, crises, and ensure business resilience. ________________________________________________________________________ Accreditation All of our courses, including this Course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Course you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aspiring to become proficient project managers. Professionals seeking to enhance project planning and execution skills. Team leaders aiming to improve leadership and communication skills. Those interested in global project Managing and risk mitigation. Anyone looking to boost their career in project Managing roles. Career path Project Manager - £40K to 70K/year. Quality Assurance Manager - £35K to 60K/year. Procurement Manager - £40K to 70K/year. Change Managing Consultant - £45K to 80K/year. Crisis Managing Specialist - £50K to 90K/year. Certificates 11 CPD Accredited e-Certificates Digital certificate - Included 11 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

Learn RabbitMQ: Asynchronous Messaging with Java and Spring

Semantically, alternative medicine refers to health treatment that is not practised using standard techniques that are typically used by doctors. Some also call it integrative or complementary therapy. Alternative medicine may include homoeopathy, traditional medicine, chiropractic, and acupuncture. Nowadays, health care experts themselves are becoming more and more open to alternative medicine and accepting the advantages of alternative medicine. Janets introduces the Diploma in Alternative Medicine at an affordable price for learners to gain the knowledge required to work in the alternative medicine field and enjoy a long career in any relevant domain. It provides a fantastic opportunity for those who are looking to brush up their knowledge and boost their career with an acknowledged certificate. This online alternative medicine course comprises 42 units that will take approximately 33 hours to complete. Moreover, it is accompanied by instructional videos, practical illustrations, how-to instructions and advice. Also, you'll have 1-year access to this course that enables you to study at your speed within your comfort zone. Why Choose this Course? By selecting this course, you'll have: Certificate (e-certificate upon successful completion) Accessible, educational modules instructed by the experts Flexible study time, learn at your own pace, through your computer, tablet or mobile device Instant feedback through mock tests and multiple-choice assessments 24/7 help desk available from our Customer Service teams Full Teacher Support during weekdays The list of alternative medicines Knowledge about the benefits of alternative medicines Course Design The course is delivered through our e-learning platform and accessible with any internet-connected device. No formal deadlines or teaching schedules are included that aids a flexible study plan.  The experts will teach you via the following: Video tutoring Online study supplies Mock tests Multiple-choice evaluation Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? Though it's an advanced course, anyone wanting to gain comprehensive knowledge and inherent experience in the relevant field is suitable for this alternative medicine course. Therefore, no additional lesson is compulsory. Besides, experts from this industry have designed this course that ensures its high quality. This makes the course an excellent opportunity for all students from any academic backgrounds to attain in-depth knowledge on this subject.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Network Video Engineer Voice/UC/Collaboration/Communications Engineer Collaboration Tools Engineer Collaboration Sales/Systems Engineer Overview Implement and Configure Cisco Endpoints Implement and Configure Cisco Unified Communications Manager for Video Endpoints Implement and Configure Cisco IMP for Jabber Implement and Configure Cisco Expressway Implement and Configure Cisco Video Communications Server (VCS) Control Implement and Configure Cisco Video Communications Server (VCS) Expressway Implement and Configure connectivity between a Cisco VCS and Cisco UCM Implement and Configure a Cisco Conductor Implement, Configure, and Operate Cisco TelePresence Management Suite (TMS) and provision devices using Cisco TMS Provisioning Extension (TMSPE) Implement and Configure Cisco Meeting Server This one of kind Cisco Collaboration in-depth course takes student from initial endpoint configuration to a full solution deployment using all of the Cisco Collaboration Components. Students will have extensive labs in which they will configure and troubleshoot a full Cisco Telepresence Deployment. Participants will gain in-depth practical knowledge with exercises on installing, configuring, maintaining and troubleshooting of all Cisco Telepresence Components.The software applications that are covered in this course include:Cisco Unified Communications Manager (CUCM)Cisco Unified Communications Manager IM and PresenceCisco ExpresswayCisco Video Communication Server (VCS)Cisco ConductorCisco Telepresence Server (TS)Cisco Meeting Server (CMS)Cisco Telepresence Management Suite (TMS)Cisco TMS Extensions Understanding Cisco TelePresence Endpoints Cisco TelePresence Endpoint Solutions Overview Cisco DX Series Endpoint Characteristics Cisco TelePresence TC Software-Based Endpoint Characteristics Cisco TelePresence EX60 and EX90 Cisco TelePresence MX Series Cisco TelePresence SX Series Endpoints Cisco TelePresence Room Kits Cisco Intelligent Proximity Cisco TelePresence TC Software-Based Endpoint Peripherals Cisco TelePresence TC Software-Based Endpoint Deployments Cisco TelePresence Integrator C Series-Based Endpoints Cisco Jabber Video for TelePresence Characteristics Cisco Jabber Understanding the Cisco Video Network Network Overview H323 Overview SIP Overview VCS vs Unified Communications Manager Internetworking QOS Overview Implementing and Configuring Unified Communication Manager Unified Communications Manager Initial Settings Service Activation Enterprise and Service Parameters SIP Domains Configure IMP for Jabber Configure Jabber Settings Registering Endpoints Verifying Network Registration Cisco VCS / Expressway Overview and Configuration Configuring Initial VCS Setting Configuring Authentication Registration Conflict Policy Registration Restriction Policy Local Zone Components Membership Rules Transforms Purpose of Zones Search Priority Neighbor Zones Creating Neighbor Zones Need for Traversal Zones H.460 and Assent Protocols Traversal Zone Configuration Domain Name System Dialing E.164 Number Mapping Bandwidth Management Pipes Subzones and Zones Subzone Call Failure Call Processing Order Certificates Certificate Installation Clustering and the Cisco VCS Clustering Configuration Collecting Information Log Files Search History Connecting VCS-C to CUCM Connect VCS-C to VCS-E Connecting CUCM to VCS-C Understanding the Cisco TelePresence Conductor What is Conductor? Conductor ? How it works Installing Cisco Conductor Configuring Conductor Network Settings Configuring Conductor for a CUCM Configuration MCU Configuration Telepresence Server Telepresence Conductor Server Configuration Configuring TelePresence Conductor for ad hoc conferences Configuring TelePresence Conductor for rendezvous conferences Configuring Unified CM Configuring general settings on Unified CM Locations in Unified CM Unified CM trusts TelePresence Conductor's server certificate SIP trunk security profile Configuring Unified CM for rendezvous conferences Sip Trunk Configuration Conference Bridge Configuration MRG and MRGL Configuration Unified CM normalization scripts Configuring Unified CM for ad hoc conferences Sip Trunk Configuration Route pattern to match the SIP Trunk Configuration Unified CM normalization scripts Configuring the Cisco VCS with TelePresence Conductor Designing a Dial Plan MCU Configuration Telepresence Server Configuring the Cisco VCS Telepresence Conductor Server Configuration Backing Up Conductor Troubleshooting Conductor Overview of Cisco Telepresence Management Server (TMS) Windows Server Installation SQL Server Installation Server Pre-requisites and configuration Installing TMS Installing TMS Provisioning Extensions Initial Configuration Endpoint Configuration Adding Systems to TMS Configuration Templates Setting Configuration VCS Configuration for TMS Direct Endpoint Management VCS/TMS CUCM Configuration for TMS Direct Endpoint Management?CUCM Phonebooks & Phonebook Sources Conference Creation Advanced Conference Settings Booking & Scheduling Participant Types Methods Conference Monitoring Dial Plans, Configuration Templates Scheduler/Smart Scheduler Managing and Troubleshooting Cisco TMS Using the Logs Cisco TMS Ticketing System Troubleshooting VCS Registrations Troubleshooting CUCM Registrations System Maintenance Configuring Cisco Meeting Server (formerly Acano) Setting up CMS Installing Certificates Configuring CUCM with CMS Provision the RTC Client Configuring Meeting Spaces Additional course details: Nexus Humans Advanced TP-CT - Implementing and Configuring Cisco TelePresence Video Suite 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 Advanced TP-CT - Implementing and Configuring Cisco TelePresence Video Suite 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.

Introducing our AutoCAD VBA Programming, a course crafted under the supervision of industry experts to elevate your digital design proficiencies. Whether you're a budding designer or a seasoned architect, this programme unveils the secrets of integrating VBA with AutoCAD, transforming your designs into animated masterpieces. Journey through ten enlightening units, from grasping the basics of the VBA Integrated Development Environment to mastering error handling techniques, ensuring that your designs not only look impressive but function flawlessly. In an era dominated by digitised design, understanding how VBA melds with AutoCAD can be your key to unlocking unprecedented innovation. With our interactive course curriculum, you'll get valuable insights into the mechanics of the AutoCAD Object Model and the pivotal role variables play. But it doesn't stop there. You'll uncover the potential of user forms, decipher conditionals, and iterate with loops, cultivating a robust foundation for all your future projects. The beauty of this course lies not just in theory but in online demonstration of practical application. As you advance, you'll sharpen skills in drawing objects, debugging, and ensuring that your codes remain error-free. By the culmination of this course, you'll be equipped with a unique skill set poised to revolutionise digital design. Learning Outcomes Acquire a fundamental understanding of the VBA Integrated Development Environment within AutoCAD. Decode the intricacies of the AutoCAD Object Model in VBA for more efficient design processes. Comprehend the use and importance of variables within the VBA framework. Design and implement user forms and controls to enhance design interactivity. Implement conditionals and decision-making processes to facilitate fluid designs. Understand the principles of looping and iterations for dynamic designs. Cultivate techniques in drawing objects, debugging, and error handling to ensure high-quality outcomes. Why buy this AutoCAD VBA Programming course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Who is this AutoCAD VBA Programming course for? Individuals eager to deepen their understanding of digital design techniques. Architects looking to integrate animation and interactivity into their designs. Design students wishing to expand their portfolio and software proficiency. Professionals in the construction and engineering sector aiming to optimise their design workflows. Tech enthusiasts keen to explore the fusion of VBA and AutoCAD. Career path AutoCAD Designer: £24,000 - £35,000 per annum CAD Technician: £20,000 - £30,000 per annum Architectural Technologist: £25,000 - £38,000 per annum Civil Engineer: £30,000 - £50,000 per annum BIM Coordinator: £35,000 - £45,000 per annum CAD Manager: £40,000 - £55,000 per annum Prerequisites This AutoCAD VBA Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AutoCAD VBA Programming 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 Unit 01: Introduction Module 01: Introduction 00:04:00 Module 02: Course Content Identified 00:06:00 Unit 02: VBA Integrated Development Environment (IDE) Module 01: Setting-up the Environment (Installing VBA IDE) 00:01:00 Module 02: Downloading and Installing AutoCAD VBA IDE 00:04:00 Module 03: Identify and Understand VBA IDE Components (Toolbars and Windows) 00:03:00 Module 04: VBA IDE Walkthrough 00:14:00 Unit 03: Understanding AutoCAD Object Model in VBA Module 01: Examining AutoCAD VBA Object Model Structure 00:07:00 Module 02: Examining AutoCAD Object Model Structure Part 2 00:06:00 Unit 04: Using Variables in VBA Module 01: Working on Variables 00:01:00 Module 02: Using Variables in the Program 00:14:00 Unit 05: User Forms and Controls Module 01: User Forms and Controls Topic Breakdown 00:02:00 Module 02: Using Label, Textbox and Command Button Controls 00:10:00 Module 03: Using ListBox Control 00:06:00 Module 04: Using ComboBox Control 00:09:00 Module 05: Using CheckBox Control 00:08:00 Module 06: Using OptionButton Control 00:03:00 Module 07: Using MultiPage Control 00:10:00 Module 08: Using MultiPage Control Continued 00:14:00 Module 09: Using Frame Control 00:03:00 Unit 06: Conditionals and Decisions in VBA Module 01: Conditions and Decisions Course Outline 00:01:00 Module 02: IF-THEN-ELSE Condition 00:02:00 Module 03: IF-THEN-ELSEIF Condition 00:04:00 Module 04: Conditional Operators in VBA 00:04:00 Module 05: Logical Operators in VBA 00:07:00 Module 06: SELECT CASE Statement in VBA 00:05:00 Unit 07: Looping and Iterations in VBA Module 01: Looping and Iterations Overview 00:02:00 Module 02: Using DO-WHILE Loop in VBA 00:04:00 Module 03: Using DO-UNTIL Loop in VBA 00:02:00 Module 04: Using FORNEXT Loop in VBA 00:02:00 Module 05: Using FOREACHNEXT Loop in VBA 00:03:00 Unit 08: Drawings Objects in VBA Module 01: Drawing Objects Overview 00:01:00 Module 02: Draw a Line Object using Utility Function 00:03:00 Module 03: Draw a Line Object using Points from User's Input 00:07:00 Module 04: Draw a Circle Object Using Utility Functions 00:03:00 Module 05: Draw a Text Object using Utility Functions 00:05:00 Module 06: Draw a LWPolyline and Polyline Objects 00:06:00 Unit 09: Code Debugging in VBA Module 01: Code Debugging Overview 00:01:00 Module 02: Code Debugging in VBA Demo 00:12:00 Module 03: Code Debugging in VBA Demo Continued 00:02:00 Unit 10: Error Handling in VBA Module 01: Error Handling Course Outline 00:02:00 Module 02: Error Handling in VBA Demo 00:13:00 Unit 11: Conclusion Module 01: Conclusion and Thank you! 00:01:00 Assignment Assignment - AutoCAD VBA Programming 00:00:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction 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 TotalCharge: 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 TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: 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