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Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00

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 If you are getting ready for a career as an entry-level information technology (IT) professional or personal computer (PC) service technician, the CompTIA© A+© Certification course is the first step in your preparation. Overview In this course, you will install, configure, optimize, troubleshoot, repair, upgrade, and perform preventive maintenance on personal computers, digital devices, and operating systems. You will:Identify the hardware components of personal computers and mobile digital devices.Identify the basic components and functions of operating systems.Identify networking and security fundamentals.Identify the operational procedures that should be followed by professional PC technicians.Install, configure, and troubleshoot display devices.Install and configure peripheral components.Manage system components.Manage data storage.Install and configure Microsoft Windows.Optimize and maintain Microsoft Windows.Work with other operating systems.Identify the hardware and software requirements for client environment configurations.Identify network technologies.Install and configure networking capabilities.Support mobile digital devices.Support printers and multifunction devices.Identify security threats, vulnerabilities, and controls.Implement security controls.Troubleshoot system-wide issues. In this course, you will acquire the essential skills and information you will need to install, upgrade, repair, configure, troubleshoot, optimize, and perform preventative maintenance of basic personal computer hardware and operating systems. Hardware Fundamentals Topic A: Personal Computer Components Topic B: Storage Devices Topic C: Mobile Digital Devices Topic D: Connection Interfaces Operating System Fundamentals Topic A: PC and Mobile Operating Systems Topic B: PC Operating System Tools and Utilities Networking & Security Fundamentals Topic A: Network Types Topic B: Network Components Topic C: Common Network Services Topic D: Cloud Concepts Topic E: Security Fundamentals Safety & Operational Procedures Topic A: Basic Maintenance Tools and Techniques Topic B: Personal and Electrical Safety Topic C: Environmental Safety and Materials Handling Topic D: Professionalism and Communication Topic E: Organizational Policies and Procedures Topic F: Troubleshooting Theory Supporting Display Devices Topic A: Install Display Devices Topic B: Configure Display Devices Topic C: Troubleshoot Video and Display Devices Installing & Configuring Peripheral Components Topic A: Install and Configure Input Devices Topic B: Install and Configure Output Devices Topic C: Install and Configure Input/Output Devices Topic D: Install and Configure Expansion Cards Managing System Components Topic A: Identify Motherboard Components and Features Topic B: Install and Configure CPUs and Cooling Systems Topic C: Install Power Supplies Topic D: Troubleshoot System Components Managing Data Storage Topic A: Identify RAM Types and Features Topic B: Troubleshoot RAM Issues Topic C: Install and Configure Storage Devices Topic D: Configure the System Firmware Topic E: Troubleshoot Hard Drives and RAID Arrays Installing & Configuring Microsoft Windows Topic A: Implement Client-Side Virtualization Topic B: Install Microsoft Windows Topic C: Use Microsoft Windows Topic D: Configure Microsoft Windows Topic E: Upgrade Microsoft Windows Optimizing & Maintaining Microsoft Windows Topic A: Optimize Microsoft Windows Topic B: Back Up and Restore System Data Topic C: Perform Disk Maintenance Topic D: Update Software Working with Other Operating Systems Topic A: The OS X Operating System Topic B: The Linux Operating System Customized Client Enviroments Topic A: Types of Common Business Clients Topic B: Custom Client Environments Networking Technologies Topic A: TCP/IP Properties and Characteristics Topic B: TCP/IP Topic C: Internet Connections Topic D: Ports and Protocols Topic E: Networking Tools Installing & Configuring Networking Capabilities Topic A: Configure Basic Windows Networking Topic B: Configure Network Perimeters Topic C: Using Windows Networking Features Topic D: Install and Configure SOHO Networks Supporting Mobile Digital Devices Topic A: Install and Configure Exterior Laptop Components Topic B: Install and Configure Interior Laptop Components Topic C: Other Mobile Devices Topic D: Mobile Device Accessories and Ports Topic E: Mobile Device Connectivity Topic F: Mobile Device Synchronization Topic G: Troubleshoot Mobile Device Hardware Supporting Printers & Multifunction Devices Topic A: Printer and Multifunction Technologies Topic B: Install and Configure Printers Topic C: Maintain Printers Topic D: Troubleshoot Printers Security Threats, Vulnerabilities, and Controls Topic A: Common Security Threats and Vulnerabilities Topic B: General Security Controls Topic C: Mobile Security Controls Topic D: Data Destruction and Disposal Methods Implementing Security Controls Topic A: Secure Operating Systems Topic B: Secure Workstations Topic C: Secure SOHO Networks Topic D: Secure Mobile Devices Troubleshooting System-Wide Issues Topic A: Troubleshoot PC Operating Systems Topic B: Troubleshoot Mobile Device Operating Systems and Applications Topic C: Troubleshoot Wired and Wireless Networks Topic D: Troubleshoot Common Security Issues Additional course details: Nexus Humans Managing and Troubleshooting PCs - Part 2 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 Managing and Troubleshooting PCs - Part 2 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.

Overview of Urban Farming and Gardening Join our Urban Farming and Gardening course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Urban Farming and Gardening course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Urban Farming and Gardening course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Urban Farming and Gardening Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Urban Farming and Gardening. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Urban Farming and Gardening course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Urban Farming and Gardening is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the Urban Farming and Gardening 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 course. Career Path The certification and skills you get from this Urban Farming and Gardening Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 1: Introduction to Urban Farming and Gardening 00:15:00 Module 2: Essential Gardening Tools and Equipment 00:15:00 Module 3: Planning and Budgeting for Urban Farming 00:14:00 Module 4: Soil Preparation and Planting Techniques 00:14:00 Module 5: Pest Management and Plant Health 00:15:00 Module 6: Sustainable Practices in Urban Farming 00:14:00 Module 7: Plant Care and Harvesting 00:14:00 Module 8: Design and Construction for Urban Gardens 00:00:00

Overview of Interior Design Dive into the vibrant world of interior design with the Interior Design Complete Training bundle. As the UK's interior design sector is set to be worth £25 billion by 2027, there's never been a better time to embark on this creative journey. This comprehensive bundle equips you with all you need, from understanding popular styles to mastering colour theory and space planning. By its conclusion, you'll be adept at styling spaces that charm and captivate, ready to tackle any design challenge. Embark on a fulfilling career in this booming industry today. Improving and moving forward is key to getting ahead personally. The Interior Design course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Interior Design Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Interior Design. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Interior Design course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Interior Design is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the Interior Design 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 course. Career Path The certification and skills you get from this Interior Design Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Interior Design Course Module 1: Introduction to Interior Design 00:25:00 Module 2: Design Principles 00:23:00 Module 3: Project Overview 00:30:00 Module 4: Design Elements 00:22:00 Module 5: Design Elements Practical Components 00:32:00 Module 6: Room by Room Design 00:23:00 Module 7: Popular Interior Designs 00:22:00 Module 8: Sustainable Design 00:19:00 Module 9: Presenting Your Ideas 00:20:00 Module 10: Managing Interior Design Business 00:24:00 Assignment Assignment - Interior Design 00:00:00

Overview   With the ever-increasing demand for Self Esteem in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Self Esteem may be.   Learning about Self Esteem or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Self Esteem. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Self Esteem is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Improving Self Esteem course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Improving Self Esteem course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Improving Self Esteem course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Self Esteem, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Self Esteem, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Self Esteem, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Improving Self Esteem course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Chapter 1 Be Optimistic Be Optimistic 00:00 Chapter 2 It's All in Our Mind It's All in Our Mind 00:00 Chapter 3 Overcoming Negative Thinking Overcoming Negative Thinking 00:00 Chapter 4 Achieving Your Goals Achieving Your Goals 00:00

This five-day programme empowers participants with the skills and knowledge to understand and effectively apply best practice commercial and contracting principles and techniques, ensuring better contractor performance and greater value add. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Practitioner (CCMP) qualification. By the end of this comprehensive programme the participants will be able to: Develop robust contracting plans, including scopes of work and award strategies Undertake early market engagements to maximise competition Conduct effective contracting and commercial management activities, including ITT, RFP, negotiated outcomes Understand the legalities of contract and commercial management Negotiate effectively with key stakeholders and clients, making use of the key skills of persuading and influencing to optimise outcomes Undertake effective Supplier Relationship Management Appreciate the implications of national and organisational culture on contracting and commercial activities Appreciate professional contract management standards Set up and maintain contract and commercial management governance systems Take a proactive, collaborative, and agile approach to managing commercial contracts Develop and monitor appropriate and robust KPIs and SLAs to manage the contractor and facilitate improved contractor performance Appreciate the cross-functional nature of contract management Collaborate with clients to deliver sustainable performance and to manage and exceed client expectations Understand the roles and responsibilities of contract and commercial managers Use effective contractor selection and award methods and models (including the 10Cs model) and use these models to prepare robust propositions to clients Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Effectively manage the process of change, claims, variations, and dispute resolution Develop and present robust propositions Make appropriate use of best practice contract and commercial management tools, techniques, and templates DAY ONE 1 Introduction Aims Objectives KPIs Learning strategies Plan for the programme 2 The contracting context Key objectives of contract management Importance and impact on the business 3 Critical success factors Essential features of professional commercial and contract management and administration The 6-step model 4 Putting the 'management' into commercial and contract management Traditional v 'new age' models The need for a commercial approach The added value generated 5 Definitions 'Commercial management' 'Contract management' 'Contracting' ... and why have formal contracts? 6 Stakeholders Stakeholder mapping and analysis The 'shared vision' concept Engaging with key functions, eg, HSE, finance, operations 7 Roles and responsibilities Contract administrators Stakeholders 8 Strategy and planning Developing effective contracting plans and strategies DAY TWO 1 Contract control Tools and techniques, including CPA and Gantt charts A project management approach Developing effective contract programmes 2 The contracting context Key objectives of contract management Importance and impact on the business 3 Tendering Overview of the contracting cycle Requirement to tender Methods Rationale Exceptions Steps Gateways Controls One and two package bids 4 Tender assessment and contract award I - framework Tender board procedures Role of the tender board (including minor and major tender boards) Membership Administration Developing robust contract award strategies and presentations DAY THREE 1 Tender assessment and contract award II - processes Pre-qualification processes CRS Vendor registration rules and processes Creating bidder lists Disqualification criteria Short-listing Using the 10Cs model Contract award and contract execution processes 2 Minor works orders Process Need for competition Role and purpose Controls Risks 3 Contract strategy Types of contract Call-offs Framework agreements Price agreements Supply agreements 4 Contract terms I: Pricing structures Lump sum Unit price Cost plus Time and materials Alternative methods Target cost Gain share contracts Advance payments Price escalation clauses 5 Contract terms II: Other financial clauses Insurance Currencies Parent body guarantees Tender bonds Performance bonds Retentions Sub-contracting Termination Invoicing 6 Contract terms III: Risk and reward Incentive contracts Management and mitigation of contractual risk DAY FOUR 1 Contract terms IV: Jurisdiction and related matters Applicable laws and regulations Registration Commercial registry Commercial agencies 2 Managing the client-contractor relationship Types of relationship Driving forces Link between type of contract and style of relationships Motivation - use of incentives and remedies 3 Disputes Types of dispute Conflict resolution strategies Negotiation Mediation Arbitration DAY FIVE 1 Performance measurement KPIs Benchmarking Cost controls Validity of savings Balanced scorecards Using the KPI template 2 Personal qualities of the contract manager Negotiation Communication Persuasion and influencing Working in a matrix environment 3 Contract terms V: Drafting skills Drafting special terms 4 Variations Contract and works variation orders Causes of variations Risk management Controls Prevention Negotiation with contractors 5 Claims Claims management processes Controls Risk mitigation Schedules of rates 6 Close-out Contract close-out and acceptance / completion HSE Final payments Performance evaluation Capturing the learning 7 Close Review Final assessment Next steps

Overview of Teacher Training Join our Teacher Training course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Teacher Training course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Teacher Training course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Teacher Training Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Teacher Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the Teacher Training course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Teacher Training is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. 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 You don’t need any educational qualification or experience to enrol in the Teacher 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 course. Career Path The certification and skills you get from this Teacher Training Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Overview of AutoCAD Programming Using C#.NET Join our AutoCAD Programming Using C#.NET Level 7 course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The AutoCAD Programming Using C#.NET Level 7 course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The AutoCAD Programming Using C#.NET Level 7 course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This AutoCAD Programming Using C#.NET Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this AutoCAD Programming Using C#.NET Level 7. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the AutoCAD Programming Using C#.NET Level 7 course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This AutoCAD Programming Using C#.NET Level 7 is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the AutoCAD Programming Using C#.NET Level 7 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 course. Career Path The certification and skills you get from this AutoCAD Programming Using C#.NET Level 7 Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Unit 01: Course Outline and Introduction Module 01: Introduction 00:01:00 Module 02: Who is this course for? 00:01:00 Module 03: What Will I Learn from this Course? 00:01:00 Module 04: What is CSharp (C#)? 00:01:00 Module 05: What is AutoCAD .NET API? 00:01:00 Module 06: What are the advantages of programming in AutoCAD .NET API? 00:02:00 Unit 02: .Net Framework and Visual Studio 2017 Community Edition Module 01: Section Overview 00:01:00 Module 02:.NET Framework Architecture Overview 00:03:00 Module 03: .NET Framework Class Library, Common Type System, Common Language Runtime 00:03:00 Module 04: More about.NET Framework Common Language Runtime (CLR) 00:02:00 Module 05: Visual Studio 2017 Integrated Development Environment (IDE) 00:03:00 Module 06: Visual Studio 2017 IDE Demo 00:07:00 Unit 03: C# Fundamentals Module 01: Section Overview 00:03:00 Module 02: DataTypes and Variables - Value Types (signed/unsigned integers) 00:04:00 Module 03: DataTypes and Variables - Signed and Unsigned Integer Demo 00:06:00 Module 04: DataTypes and Variables - Floating Point and Decimal 00:02:00 Module 05: DataTypes and Variables - Floating Point and Decimal Demo 00:04:00 Module 06: DataTypes and Variables - Boolean 00:03:00 Module 07: DataTypes and Variables - Reference Types 00:03:00 Module 08: DataTypes and Variables - Class Type 00:03:00 Module 09: DataTypes and Variables - Class Type - Demo 00:11:00 Module 10: DataTypes and Variables - Interface Type 00:01:00 Module 11: DataTypes and Variables - Array Type 00:02:00 Module 12: DataTypes and Variables - Array Type - Demo (Single Dimension) 00:08:00 Module 13: DataTypes and Variables - Array Type - Demo (Multi Dimension) 00:10:00 Module 14: C# Operators Overview 00:02:00 Module 15: C# Assignment Operators 00:03:00 Module 16: C# Assignment Operators - Demo 00:06:00 Module 17: C# Unary Operators 00:02:00 Module 18: C# Unary Operators - Demo 00:02:00 Module 19: C# Primary Operators 00:03:00 Module 20: C# Primary Operators - Demo 00:07:00 Module 21: C# Equality Operators 00:01:00 Module 22: C# Equality Operators - Demo 00:02:00 Module 23: C# Additive Operators 00:02:00 Module 24: C# Additive Operators - Demo 00:01:00 Module 25: C# Multiplicative Operators 00:01:00 Module 26: C# Multiplicative Operators - Demo 00:01:00 Module 27: C# - Relational and Type Operators 00:04:00 Module 28: C# - Logical, Conditional and Null Operators 00:04:00 Module 29: C# - Logical, Conditional and Null Operators - Demo 00:07:00 Module 30: C# Keywords (Reserved Words) 00:04:00 Module 31: C# - Conditionals Overview 00:01:00 Module 32: C# Conditionals - If-Then-Else Statement 00:03:00 Module 33: C# Conditionals - If-Then-Else Statement - Demo 00:07:00 Module 34: C# Conditionals - Switch Statement 00:03:00 Module 35: C# Conditionals - Switch Statement - Demo 00:04:00 Module 36: C# - Loops Overview 00:04:00 Module 37: C# Loops - For Loop 00:02:00 Module 38: C# Loops - For Loop - Demo 00:02:00 Module 39: C# Loops - Foreach Loop 00:02:00 Module 40: C# Loops - Foreach Loop - Demo 00:05:00 Module 41: C# Loops - While Loop 00:02:00 Module 42: C# Loops - While Loop - Demo 00:02:00 Module 43: C# Loops - Do While Loop 00:02:00 Module 44: C# Loops - Do While Loop - Demo 00:03:00 Module 45: Modifiers Overview 00:04:00 Module 46: Debugging Overview 00:03:00 Module 47: Debugging - Demo 1 00:05:00 Module 48: Debugging - Demo 2 00:12:00 Module 49: Debugging - Demo 3 00:06:00 Module 50: Error and Exception Handling - Overview 00:02:00 Module 51: ExceptionHandling - Demo 1 00:07:00 Module 52: ExceptionHandling - Demo 2 00:07:00 Module 53: ExceptionHandling - Demo 3 00:13:00 Module 54: Introduction to Object Oriented Programming (OOP) 00:04:00 Module 55: OOP - Encapsulation - Demo (Part 1) 00:11:00 Module 56: OOP - Encapsulation - Demo (Part 2) 00:12:00 Module 57: OOP - Inheritance - Demo (Part 1) 00:07:00 Module 58: OOP - Inheritance - Demo (Part 2) 00:05:00 Module 59: OOP - Polymorphism - Demo (Part 1) 00:10:00 Module 60: OOP - Polymorphism - Demo (Part 2) 00:03:00 Unit 04: Exploring AutoCAD .NET API Module 01: AutoCAD .NET API - Overview 00:01:00 Module 02: AutoCAD .NET API Assemblies 00:02:00 Module 03: Using AutoCAD .NET API in C# - Hello AutoCAD Demo Part 1 00:12:00 Module 04: Using AutoCAD .NET API in C# - Hello AutoCAD Demo - Part 2 00:04:00 Module 05: AutoCAD .NET API Object Hierarchy 00:03:00 Module 06: AutoCAD .NET API - Application Object Overview 00:03:00 Module 07: AutoCAD .NET API - Document Object Overview 00:03:00 Module 08: AutoCAD .NET API - Database Object Overview 00:03:00 Unit 05: Creating AutoCAD Objects using AutoCAD .NET API Module 01: Creating AutoCAD Objects using AutoCAD .NET API - Overview 00:01:00 Module 02: Creating a Line Object - Lab (Part 1) 00:14:00 Module 03: Creating a Line Object - Lab (Part 2) 00:03:00 Module 04: Creating a MText Object - Lab 00:10:00 Module 05: Creating a Circle Object - Lab 00:07:00 Module 06: Creating an Arc Object - Lab 00:05:00 Module 07: Creating a LWPolyline Object - Lab 00:05:00 Unit 06: Manipulate AutoCAD Objects Module 01: Manipulate AutoCAD Objects - Overview 00:01:00 Module 02: Copy Object using C# - Theory 00:01:00 Module 03: Copy Object using C# - Lab (Part 1) 00:11:00 Module 04: Copy Object using C# - Lab (Part 2) 00:02:00 Module 05: Copy multiple objects using C# - Lab (Part 1) 00:09:00 Module 06: Copy multiple objects using C# - Lab (Part 2) 00:01:00 Module 07: Erase Object using C# - Lab (Part 1) 00:06:00 Module 08: Erase Object using C# - Lab (Part 2) 00:05:00 Module 09: Move Object using C# - Lab (Part 1) 00:06:00 Module 10: Move Object using C# - Lab (Part 2) 00:02:00 Module 11: Mirror Object using C# - Lab (Part 1) 00:10:00 Module 12: Mirror Object using C# - Lab (Part 2) 00:02:00 Module 13: Rotate Object using C# - Lab (Part 1) 00:07:00 Module 14: Rotate Object using C# - Lab (Part 2) 00:03:00 Module 15: Scale Object using C# - Lab 00:05:00 Module 16: Copy Object Exercise 00:02:00 Module 17: Copy Object Solution 00:06:00 Module 18: Erase Object Exercise 00:02:00 Module 19: Erase Object Solution 00:07:00 Module 20: Move Object Exercise 00:02:00 Module 21: Move Object Solution 00:06:00 Module 22: Mirror Object Exercise 00:02:00 Module 23: Mirror Object Solution 00:06:00 Module 24: Rotate Object Exercise 00:02:00 Module 25: Rotate Object Solution 00:06:00 Module 26: Scale Object Exercise 00:01:00 Module 27: Scale Object Solution 00:05:00 Unit 07: Exploring AutoCAD Dictionaries (Layers, LineTypes, TextStyles) Module 01: Exploring AutoCAD Dictionaries - Layers Overview 00:03:00 Module 02: Listing all the Layers in the drawing using C# 00:11:00 Module 03: Creating a Layer in AutoCAD using C# 00:09:00 Module 04: Updating a Layer in AutoCAD using C# 00:09:00 Module 05: Turning the Layer On/Off in AutoCAD using C# 00:05:00 Module 06: Thawing/Freezing Layer in AutoCAD using C# 00:04:00 Module 07: Deleting a Layer in AutoCAD using C# 00:03:00 Module 08: Locking/UnLocking a Layer in AutoCAD using C# 00:05:00 Module 09: Assigning a Layer to an AutoCAD object using C# 00:03:00 Module 10: Exploring AutoCAD Dictionaries - LineTypes Overview 00:01:00 Module 11: Listing all the LineTypes in the drawing using C# 00:07:00 Module 12: Loading a LineType in the drawing using C# 00:07:00 Module 13: Setting the Current LineType in AutoCAD using C# 00:03:00 Module 14: Deleting a LineType in AutoCAD using C# 00:03:00 Module 15: Setting a LineType to an object using C# 00:04:00 Module 16: Exploring AutoCAD Dictionaries - TextStyles Overview 00:01:00 Module 17: Listing all the TextStyles in the drawing using C# 00:08:00 Module 18: Updating current TextStyle Font in AutoCAD using C# 00:10:00 Module 19: Setting the Current TextStyle in AutoCAD using C# 00:08:00 Module 20: Setting a TextStyle to an object using C# 00:04:00 Unit 08: User Input Functions Module 01: User Input Functions Overview 00:01:00 Module 02: Using GetString Method - Lab (Part 1) 00:13:00 Module 03: Using GetString Method - Lab (Part 2) 00:10:00 Module 04: Using GetPoint Method - Lab 00:12:00 Module 05: Using GetDistance Method - Lab 00:04:00 Module 06: Using GetKeyWords Method - Lab (Part 1) 00:12:00 Module 07: Using GetKeyWords Method - Lab (Part 2) 00:02:00 Unit 09: Selection Sets and Filters Module 01: Selection Sets and Filters - Overview 00:02:00 Module 02: Using SelectAll Method - Lab (Part 1) 00:11:00 Module 03: Using SelectAll Method - Lab (Part 2) 00:02:00 Module 04: Using SelectOnScreen Method - Lab (Part 1) 00:06:00 Module 05: Using SelectOnScreen Method - Lab (Part 2) 00:01:00 Module 06: Using SelectWindow Method - Lab 00:08:00 Module 07: Using SelectCrossingWindow Method - Lab 00:08:00 Module 08: Using SelectFence Method - Lab 00:08:00 Module 09: Using PickFirstSelection Method - Lab 00:11:00 Module 10: Using SelectionSet Filters - Overview 00:01:00 Module 11: Using SelectionSet Filters - Selecting Lines 00:09:00 Module 12: Using SelectionSet Filters - Selecting MTexts Lab 00:07:00 Module 13: Using SelectionSet Filters - Selecting Polylines Lab 00:03:00 Module 14: Using SelectionSet Filters - Selecting Blocks (FrenchDoors) Lab 00:07:00 Module 15: Using SelectionSet Filters - Selecting Blocks (BiFoldDoors) Lab 00:04:00 Module 16: Using SelectionSet Filters - Selecting objects in a Layer (Walls) Lab 00:07:00 Module 17: Using SelectionSet Filters - Selecting all objects in a Layer (Stairs) Lab 00:05:00 Module 18: Using SelectionSets and Filters - Exercises 00:02:00 Unit 10: Developing Title Block Project - Hands On! Module 01: TitleBlock Project - Overview 00:05:00 Module 02: Creating Project and TBlock Class - Lab 00:14:00 Module 03: Creating Classes for each Paper Sizes - Lab 00:07:00 Module 04: Creating TitleBlock Class - Lab 00:14:00 Module 05: Handling User Selected Paper Size - Lab 00:05:00 Module 06: Creating the TitleBlock Border Lines - Lab 00:06:00 Module 07: Creating the Horizontal Partition Lines - Lab (Part 1) 00:11:00 Module 08: Creating the Horizontal Partition Lines - Lab (Part 2) 00:05:00 Module 09: Creating Vertical Partition Lines - Lab 00:11:00 Module 10: Project Check on the Partition Lines - Lab 00:07:00 Module 11: Creating the TitleBlock Labels - Lab (Part 1) 00:10:00 Module 12: Creating the TitleBlock Labels - Lab (Part 2) 00:09:00 Module 13: Creating the TitleBlock Labels - Lab (Part 3) 00:11:00 Module 14: Project Check on the Labels 00:07:00 Module 15: Creating Drawing Information Texts 00:08:00 Module 16: Debugging the TitleBlock Project - Lab 00:10:00 Module 17: Completing and Running the TitleBlock Plugin 00:05:00 Module 18: Audit Drawing Project - Overview 00:02:00 Module 19: Audit Drawing Project - Demo 00:07:00 Module 20: Creating the AuditDrawing Project 00:11:00 Module 21: Creating the AuditDrawing DisplayOnScreen Method 00:14:00 Module 22: Creating the AuditDrawing Write to TXT File Method 00:08:00 Module 23: Creating the AuditDrawing Write to CSV File Method 00:06:00 Module 24: Creating the AuditDrawing Write to HTML File Method 00:14:00 Module 25: AuditDrawing Plugin Demo 00:04:00 Module 26: Creating the AuditBlock Method 00:05:00 Module 27: Creating the AuditBlock GatherBlocksAndCount Method 00:16:00 Module 28: Creating the AuditBlock DisplayOnScreen Method 00:06:00 Module 29: Creating the AuditBlock WriteToTXTFile Method 00:05:00 Module 30: Creating the AuditBlock WriteToCSVFile Method 00:05:00 Module 31: Creating the AuditBlock WriteToHTMLFile Method 00:07:00 Module 32: AuditBlock Completed Component - Demo 00:12:00 Unit 11: Conclusion Module 01: Conclusion 00:01:00

This case study is on a 2019 school history tour to the USA, which sadly ended in tragedy. This case study forms part of the Xcursion Online International School Travel Safety Course.