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Overview This comprehensive course on Ultimate PHP & MySQL Web Development Course & OOP Coding will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ultimate PHP & MySQL Web Development Course & OOP Coding comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Ultimate PHP & MySQL Web Development Course & OOP Coding. It is available to all students, of all academic backgrounds. Requirements Our Ultimate PHP & MySQL Web Development Course & OOP Coding is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 15 sections • 133 lectures • 10:06:00 total length •Introduction: 00:02:00 •Setup On Windows: 00:15:00 •Setup On Mac: 00:11:00 •Setup On Linux: 00:12:00 •Online Code Editor: 00:03:00 •Basic File Syntax: 00:05:00 •Printing (echo): 00:06:00 •Comments: 00:05:00 •Variables: 00:06:00 •Variable Data Types: 00:07:00 •Variable Naming: 00:03:00 •Constants: 00:02:00 •Arrays: 00:05:00 •Associative Arrays: 00:06:00 •Multidimensional Arrays: 00:04:00 •if Statement: 00:06:00 •ifelse Statement: 00:02:00 •ifelseifelse Statement: 00:05:00 •Switch Statement: 00:06:00 •while Loop: 00:06:00 •doWhile Loop: 00:03:00 •for Loop: 00:03:00 •foreach Loop: 00:05:00 •Break Statement: 00:02:00 •Continue Statement: 00:02:00 •Basic Function: 00:03:00 •Passing Function Arguments: 00:03:00 •Passing Function Arguments By Reference: 00:04:00 •Default Argument Value: 00:02:00 •Function Returning Values: 00:05:00 •Dynamic Function Calls: 00:03:00 •Variable Scope: 00:04:00 •Simple HTML Form: 00:07:00 •GET vs POST: 00:05:00 •$_SERVER ['PHP_SELF']: 00:07:00 •Validating Form Data With PHP: 00:07:00 •Required Fields: 00:05:00 •Display Error Messages: 00:05:00 •Validate Name: 00:03:00 •Validate Email: 00:03:00 •Validate URL: 00:07:00 •Keep The Values In The Form: 00:04:00 •Read File (readfile()): 00:02:00 •Open, Read & Close A File (fopen(), fread(), fclose()): 00:04:00 •Read Single Line (fgets()): 00:03:00 •Check End-Of-File (feof()): 00:02:00 •Read Single Character (fgetc()): 00:02:00 •Write To File (fwrite()): 00:03:00 •Configure php.ini File For File Uploading: 00:02:00 •Front End HTML Upload Form: 00:04:00 •PHP Upload Script: 00:15:00 •Check If File Exists: 00:03:00 •Limit File Size: 00:05:00 •Limit File Type: 00:04:00 •MySQL vs MySQLi vs PDO: 00:05:00 •Creating A Database & Table (phpMyAdmin): 00:06:00 •Connecting To A Database: 00:06:00 •Get Data Using SELECT Query: 00:10:00 •WHERE Property For Filtering: 00:03:00 •LIKE Property For Pattern Search: 00:02:00 •Sorting Results Using ORDER BY Property: 00:01:00 •Using JOINS: 00:08:00 •Insert Data Using INSERT Query: 00:04:00 •Get ID Of The Last Inserted Row: 00:02:00 •Insert Multiple Rows: 00:05:00 •Update Data Using UPDATE Query: 00:03:00 •Delete Data Using DELETE Query: 00:02:00 •Delete All Rows In A Table Using TRUNCATE Query: 00:02:00 •Delete Table Using DROP Query: 00:02:00 •Limit Data Selections Using LIMIT, ROWNUM: 00:04:00 •Create Table Using CREATE Query: 00:03:00 •Clone/Duplicate Table: 00:03:00 •Alter Table: 00:05:00 •Create Database: 00:02:00 •Drop Database: 00:02:00 •SQL Injection & Prepared Statements: 00:09:00 •What Is XML?: 00:02:00 •What Is SimpleXML?: 00:02:00 •Parse XML String: 00:08:00 •Parse XML File: 00:02:00 •Get Node Values: 00:02:00 •Get Node Values of Specific Elements: 00:03:00 •Get Node Values - Loop: 00:03:00 •Get Attribute Values: 00:02:00 •What Is The XML Expat Parser?: 00:02:00 •Initializing The XML Expat Parser: 00:10:00 •Load and Output XML Using DOM Parser: 00:02:00 •Looping Through XML Using DOM Parser: 00:03:00 •What Is AJAX?: 00:02:00 •Load Simple Data Using AJAX Front End: 00:08:00 •Load Simple Data Using AJAX Back End: 00:05:00 •Load Data From A Database Using AJAX: 00:08:00 •Send A Plain Text Email: 00:04:00 •Send A HTML Email: 00:06:00 •Email Attachments: 00:17:00 •PHPMailer Setup: 00:03:00 •Send Email Using PHPMailer: 00:04:00 •Send HTML Email Using PHPMailer: 00:04:00 •Email Attachments Using PHPMailer: 00:02:00 •What Is Object Oriented Programming (OOP)?: 00:03:00 •Basic Class With Variables: 00:04:00 •Functions: 00:05:00 •Constructor: 00:04:00 •Destructor: 00:02:00 •Inheritance: 00:06:00 •Multi Class Inheritance: 00:03:00 •Function Overriding: 00:03:00 •Public vs Private vs Protected: 00:05:00 •Interfaces: 00:04:00 •Constants: 00:03:00 •Abstract Class: 00:06:00 •Static Keyword: 00:03:00 •Final Keyword: 00:02:00 •Initiating Parent Constructor: 00:02:00 •die() Function: 00:02:00 •Custom Error Handler: 00:04:00 •Triggering An Exception: 00:03:00 •Exception Handling: 00:05:00 •Create Database & Table: 00:04:00 •User Class & Database Connection: 00:15:00 •Register User Form: 00:09:00 •Inserting User Data Into Database: 00:10:00 •Registration Form Field Validation: 00:12:00 •Securing User Password: 00:03:00 •Check If Username or Email Already Exists: 00:11:00 •Retain Data After Failed Registration: 00:03:00 •Validate an Integer Within a Range: 00:04:00 •Validate IPv6 Address: 00:03:00 •Validate URL - Must Contain QueryString: 00:03:00 •Remove Characters With ASCII Value > 127: 00:04:00 •Including & Requiring External PHP Files: 00:05:00 •Resource: 00:00:00 •Assignment - Ultimate PHP & MySQL Web Development Course & OOP Coding: 00:00:00

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Gain Confidence and Presence as a TV Presenter Course Overview: "Gain Confidence and Presence as a TV Presenter" is an engaging and comprehensive course designed for aspiring TV presenters who wish to enhance their on-screen presence. It covers the essential skills and knowledge required to succeed in this field, focusing on confidence-building, presenting techniques, and key industry practices. Learners will gain the ability to speak confidently in front of the camera, handle teleprompters, and create a professional showreel, ultimately helping them to establish a strong and compelling presence in the media. This course is ideal for those looking to build a career as a TV presenter, as it provides the tools and techniques needed to excel in both live and recorded broadcast settings. Course Description: This course delves into the core aspects of becoming a successful TV presenter, with a focus on building confidence and mastering key techniques. Participants will explore various topics such as understanding the role of a presenter, the qualifications and skills required, and the best practices for speaking in front of the camera. Additionally, the course covers teleprompter use, creating showreels, conducting interviews, and crafting scripts for effective presentation. Learners will gain valuable insights into the nuances of TV presenting, allowing them to present with clarity, confidence, and professionalism. By the end of the course, learners will have the knowledge and skills needed to step into the world of television presenting, whether for news, entertainment, or specialised broadcasts. Gain Confidence and Presence as a TV Presenter Curriculum: Module 01: Who is a TV Presenter? Module 02: Qualifications and Skills Required to Become a Presenter Module 03: Essentials to Become a Presenter Module 04: Talking To/ Speaking in Front of The Camera Module 05: Talk Back and Teleprompter Module 06: Creating a Showreel Module 07: Interviewing Techniques Module 08: Scripting Techniques (See full curriculum) Who is this course for? Individuals seeking to build a career as a TV presenter Professionals aiming to enhance their public speaking skills Beginners with an interest in media and broadcasting Those looking to improve their on-screen presence and confidence Career Path: TV Presenter News Anchor Broadcast Journalist Entertainment Host Media Consultant Radio Presenter Content Creator for TV or Online Platforms

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technical professionals who need to know how to deploy and manage a Cisco Firepower NGIPS in their network environment. Security administrators Security consultants Network administrators System engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe the components of Cisco Firepower Threat Defense and the managed device registration process Detail Next-Generation Firewalls (NGFW) traffic control and configure the Cisco Firepower system for network discovery Implement access control policies and describe access control policy advanced features Configure security intelligences features and the Advanced Malware Protection (AMP) for Networks implementation procedure for file control and advanced malware protection Implement and manage intrusion and network analysis policies for NGIPS inspection Describe and demonstrate the detailed analysis techniques and reporting features provided by the Cisco Firepower Management Center Integrate the Cisco Firepower Management Center with an external logging destination Describe and demonstrate the external alerting options available to Cisco Firepower Management Center and configure a correlation policy Describe key Cisco Firepower Management Center software update and user account management features Identify commonly misconfigured settings within the Cisco Firepower Management Center and use basic commands to troubleshoot a Cisco Firepower Threat Defense device This course shows you how to deploy and use Cisco Firepower© Next-Generation Intrusion Prevention System (NGIPS). This hands-on course gives you the knowledge and skills to use the platform features and includes firewall security concepts, platform architecture and key features; in-depth event analysis including detection of network-based malware and file type, NGIPS tuning and configuration including application control, security intelligence, firewall, and network-based malware and file controls; Snort© rules language; file and malware inspection, security intelligence, and network analysis policy configuration designed to detect traffic patterns; configuration and deployment of correlation policies to take action based on events detected; troubleshooting; system and user administration tasks, and more. This course helps you prepare to take the exam, Securing Networks with Cisco Firepower (300-710 SNCF), which leads to CCNP Security and Cisco Certified Specialist ? Network Security Firepower certifications. The 300-710 SNCF exam has a second preparation course as well, Cisco© Securing Networks with Cisco© Firepower Next Generation Firewall (SSNGFW). You can take these courses in any order. Course Outline Cisco Firepower Threat Defense Overview Cisco Firepower NGFW Device Configuration Cisco Firepower NGFW Traffic Control Cisco Firepower Discovery Implementing Access Control Policies Security Intelligence File Control and Advanced Malware Protection Next-Generation Intrusion Prevention Systems Network Analysis Policies Detailed Analysis Techniques Cisco Firepower Platform Integration Alerting and Correlation Policies Performing System Administration Troubleshooting Cisco Firepower

If you aim to enhance your Machine Learning & Artificial Intelligence skills, our comprehensive Machine Learning & Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning & Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning & Artificial Intelligence. Each lesson in this Machine Learning & Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning & Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning & Artificial Intelligence is the ideal choice. With our Machine Learning & Artificial Intelligence exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Machine Learning & Artificial Intelligence Bundle: Course 01: Machine Learning Basics Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Course 03: Machine Learning with Python Course Course 04: Project on Deep Learning - Artificial Neural Network Course 05: Data Science & Machine Learning with R Training Course 06: ChatGPT for Marketing and Productivity with AI Tools Learning Outcomes of this Machine Learning & Artificial Intelligence Understand the foundational concepts of machine learning and its applications. Gain practical experience through hands-on machine learning projects and tools. Master Python programming for effective machine learning applications and tasks. Develop deep learning models using artificial neural networks effectively. Apply data science techniques using R for comprehensive data analysis. Learn to utilise AI tools for marketing and enhancing productivity in business. Why Choose Our Course? FREE Machine Learning & Artificial Intelligence certificate accredited Get a free student ID card with Machine Learning & Artificial Intelligence Training Get instant access to this Machine Learning & Artificial Intelligence course. Learn Machine Learning & Artificial Intelligence from anywhere in the world Machine Learning & Artificial Intelligence is affordable and simple to understand This bundle is an entirely online, interactive lesson with voiceover audio Lifetime access to the Machine Learning & Artificial Intelligence course materials The Machine Learning & Artificial Intelligence comes with 24/7 tutor support So enrol now in this Machine Learning & Artificial Intelligence Today to advance your career! Start your learning journey straightaway with Machine Learning & Artificial Intelligence! This Machine Learning & Artificial Intelligence's curriculum has been designed by Machine Learning & Artificial Intelligence experts with years of Machine Learning & Artificial Intelligence experience behind them. The Machine Learning & Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning & Artificial Intelligence with ease. You'll discover how to master Machine Learning & Artificial Intelligence skills while exploring relevant and essential topics. *** Course Curriculum *** Course 01: Machine Learning Basics Section 01: Introduction Section 02: Regression Section 03: Predictors Section 04: Minitab Section 05: Regression Trees Section 06: Binary Logistics Regression Section 07: Classification Trees Section 08: Data Cleaning Section 09: Data Models Section 10: Learning Success Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Section 01: Introduction Section 02: Building the Auto Image Captioning Section 03: Deployment of Machine Learning App Assessment Process of Machine Learning & Artificial Intelligence Once you have completed all the courses in the Machine Learning & Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Machine Learning & Artificial Intelligence bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this Machine Learning & Artificial Intelligence. Career path This Machine Learning & Artificial Intelligence bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

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This Accounting-Bonds Payable Notes Payable Liabilities is designed to provide you with the concept of bonds from a corporate perspective and explain how to record the issuance of bonds and notes payable. The course covers present value calculations in multiple formats. Present value calculations are often confusing to learners partially because tounting system to help simplify the data entry process. You will get to know notes payable, record journal entries related to taking he topic can be introduced in many ways. You will understand adjusting entries that can be used in an account an installment note, and build amortization tables related to notes payable.  Through the course you will learn how to create the liability section of the balance sheet breaking out current and long-term portions. You will be introduced with different techniques for recording the current portion and long-term portion of installment notes. What you'll learn How to record the issuance of bonds How to record bonds issued at a primium How to record bonds issued at a discount Present value (PV) Calculations Using Formulas Present value (PV) Calculations Using Tables Present value (PV) Calculations Excel Calculate Bond Issue Price How to record bond retirement Description of notes payable How to create an amortization table Adjusting entries for notes payable How to record current and long term liabilities Types of bonds and bond characteristics Calculate the effective amortization method Explain what a capital lease and operating lease is Comprehensive accounting problem Who this course is for: Accounting students Business owner Anyone who whats to learn accounting Requirements We should have a basic understanding of financial accounting and debits and credits Introduction Introduction 00:08:00 PDF - 10 Bond & Note Payable Introduction 00:01:00 10 Bonds & Notes Payable Introduction 00:10:00 Accounting Comic Break 00:01:00 Bonds - Market Rate vs Contract Rate 2 Bonds Market Rate vs Contract Rate 00:01:00 PDF - 20 Bonds Issued at Par 00:01:00 20 Bond Issued at Par 00:06:00 PDF - 25 Bond Market Price vs Contract Rate 00:01:00 Excel Download 00:01:00 Worksheet - 20 Bond Issued at Par 00:06:00 Excel Download 00:01:00 Bonds Issued at Premium 3 Bonds Issued at Premium 00:01:00 PDF - 50 Bond Issued at Premium 00:01:00 50 Bond Issued at Premium 00:07:00 Excel Download 00:01:00 Worksheet - 50 Bond Issue at Premium 00:09:00 PDF - 60 Amortization Premium & Recording Interest 00:01:00 60 Premium Amortization & Interest 00:13:00 Excel Download 00:01:00 Worksheet - 55 Bond Premium and Interest Journal Entry 00:16:00 10 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Bonds Issued at Discount 4 Bonds Issued at Discount 00:01:00 PDF - 30 Bonds Issued at Discount 00:01:00 PDF - 40 Amortizing Discount & Recording Interest 00:01:00 40 Issue bond at a discount%2C calculate%2C and record interest 00:26:00 Excel Download 00:01:00 Worksheet - 30 Bond Issued at Discount 00:09:00 Excel Download 00:01:00 Worksheet - 35 Bond Discount & Interest 00:18:00 Excel Download 00:01:00 Worksheet - 1400.10 Record issuance of bond at a discount amortiz 00:16:00 Worksheet - 1400.20 Record issuance of bond at a discount amortiz 00:16:00 Worksheet - 1400.40 Record issuance of bond at a premium amortize 00:16:00 Worksheet - 1400.50 Record issuance of bond at a premium amort. 00:14:00 20 Multiple Choice Question - Long Term Liabilities 00:04:00 Accounting Comic Break 00:01:00 Present Value - Bond Price 5 Present Value Bond Price 00:03:00 PDF - 70 Bond Present Value Formula 00:14:00 Excel Download 00:01:00 Worksheet - 70 Bond Present Value Formula 00:15:00 PDF - 80 Bond Present Value Tables 00:01:00 80 Bond Present Value Tablesy 00:14:00 Excel Download 00:01:00 Worksheet - 80 Bond Present Value Tables 00:11:00 Excel Download 00:01:00 Worksheet - 90 Bond Present Value Excel 00:12:00 30 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Bond Retirement 6 Bond Retirement 00:01:00 PDF - 100 Bond Retirement 00:01:00 100 Bond Retirement 00:09:00 Excel Download 00:01:00 Worksheet - 100 Bond Retirement 00:12:00 40 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Notes Payable Introduction 7 Notes Payable Introduction 00:01:00 PDF - 110 Notes Payable Introduction 00:01:00 110 Notes Payable Introduction 00:05:00 PDF - 120 Installment Note Journal Entry 00:01:00 Excel Download 00:01:00 50 Multiple Choice Question - Long Term Liabilities 00:05:00 Accounting Comic Break 00:01:00 Amortization Schedule - Notes Payable 8 Amortization Schedule Notes Payable 00:01:00 PDF - 130 Notes Payable Amortization 00:01:00 130 Amortization Schedule 00:12:00 PDF - 140 Notes Payable Interest Payments 00:01:00 140 Notes Payable Payments Journal Entry 00:07:00 Excel Download 00:01:00 Worksheet - 130 Note Payable Amortization 00:15:00 Excel Download 00:01:00 Worksheet - 140 Note payable interest payments 00:10:00 60 Multiple Choice Question - Long Term Liabilities 00:06:00 Accounting Comic Break 00:01:00 Notes Payable Adjusting Entries 9 Notes Payable Adjusting Entries 00:01:00 PDF - 150 Adjusting Entry - Notes Payable 00:01:00 150 Notes Payable Adjusting Entry 00:10:00 Excel Download 00:01:00 Worksheet - 150 Note Payable Adjusting Entry 1 00:07:00 Excel Download 00:01:00 Worksheet - 160 Note Payable Adjusting Entry 2 00:06:00 70 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Financial Statements - Long Term Liabilities 10 Financial Statements Long Term Liabilities 00:01:00 PDF - 170 Liabilities - Current vs Non Current 00:01:00 170 Notes Payable Current vs. Non Current 00:18:00 Excel Download 00:01:00 Worksheet - 170 FS St LT One Loan 1 TB Account 00:09:00 Excel Download 00:01:00 Worksheet - 180 FS St LT Loan 1 loan 2 TB Accounts 00:08:00 Excel Download 00:01:00 Worksheet - 190 FS ST LT 2 loans 1 TB account 00:08:00 Excel Download 00:01:00 Worksheet - 200 FS ST LT 2 Loans 1 ST 1 LT TB account 00:09:00 Excel Download 00:01:00 Worksheet - 210 FS ST LT 2 Loans 2 Loan Account TB 00:08:00 Excel Download 00:01:00 Worksheet - 220 FS 2 Loans 4 Accounts TB 00:11:00 80 Multiple Choice Question - Long Term Liabilities 00:07:00 Accounting Comic Break 00:01:00 Bond Characteristics and Types 11 Bond Characteristics and Types 00:01:00 PDF - 230 Bond types 00:01:00 230 Bond Characteristics 00:02:00 90 Multiple Choice Question - Long Term Liabilities 00:05:00 Short Calculation 00:08:00 Accounting Comic Break 00:01:00 Effective Method - Amortization Bond Discount & Premium 12 Effective Method Amortization Bond Discount & Premium 00:01:00 PDF - 230 Effective Interest Discount Amortization 00:01:00 235 Discount Amortization Effective Method 00:13:00 Excel Download 00:01:00 Worksheet - 230 Effective Interest Discount Amortization 00:17:00 Excel Download 00:01:00 Worksheet - 240 Effective Interest Premium Amortization 00:13:00 100 Multiple Choice Question - Long Term Liabilities 00:10:00 Leases - Operating vs. Capital 13 Leases Operating vs. Capital 00:01:00 PDF - 250 Leases 00:01:00 250 Leases Capital vs. Operating 00:12:00 Accounting Comic Break 00:01:00 Comprehensive Problem 14 Comprehensive Problem 00:01:00 Excel Download 00:01:00 1 Accounting%2C Financial - Comp Prob Service Co 1 Part 1 00:15:00 2 Accounting%2C Financial - Comp Prob Service Co 1 Part 2 00:15:00 3 Accounting%2C Financial - Comp Prob Service Co 1 Part 3 00:15:00 4 Accounting%2C Financial - Comp Prob Service Co 1 Part 4_2 00:22:00 6 Comp Prob Service Co 1 Adjusting Entries part 6 00:20:00 Definitions & Key Terms 15 Definitions & Key Terms 00:01:00 Annuity Definition - What is Annuity 00:05:00 Bond Definition - What is Bond 00:06:00 Book Value of Bonds - What is Book Value of Bonds 00:06:00 Carrying Value of Bonds Definition - What is Carrying Value 00:05:00 Lease Definition - What is a Lease 00:01:00