Learning Objectives Introduction , Getting Started with VBA , Working with Variables , Working with Conditional Logic , Working with Strings and String Functions , Working with Loops , Working with Sub Procedures Options and Functions , Working with User Forms , Debugging your Code , Conclusion Pre-Requisites Intermediate Microsoft Excel training or equivalent experience is recommended. Description This course will teach students proper Visual Basic programming techniques along with an understanding of Excel's object structure. Students will learn how to work with variables, how to use various conditional logic statements such as If and Else, and how to work with string functions. Students will also learn how to work with various loops such as next loops and each loops, as well as how to create user forms. Finally, students will get an in-depth understanding of the debugging tools available and how to effectively debug their code. Course Introduction Introduction 00:03:00 Section 01 Lesson 1-Adding the Developer Toolbar 00:05:00 Lesson 2-Understanding the VBA Editor 00:11:00 Lesson 3-Recording a Macro in Personal 00:10:00 Lesson 4-Understanding the Elements of the VBA Language 00:07:00 Lesson 5-Understanding Methods 00:05:00 Lesson 6-Understanding Comments 00:06:00 Lesson 7-Working with the Range Property and Worksheet Object 00:07:00 Lesson 8-Adding a Macro Button to a Spreadsheet 00:03:00 Lesson 9-Working with the ActiveCell Object 00:02:00 Lesson 10-Working with the Offset Property 00:08:00 Section 02 Lesson 1-Understanding Variables 00:07:00 Lesson 2-Working with Integer Variables 00:03:00 Lesson 3-Understanding Option Explicit 00:05:00 Lesson 4-Working with Other Variable Types 00:07:00 Section 03 Lesson 1-Working with IF Statements 00:04:00 Lesson 2-Working with ELSE 00:03:00 Lesson 3-Working with ELSEIF 00:03:00 Lesson 4-Understanding Conditional Operators 00:06:00 Lesson 5-Working with NOT, AND, and OR 00:07:00 Lesson 6-Working with Nested IF 00:04:00 Lesson 7-Working with Select Case 00:06:00 Lesson 8-Working with WITH and END WITH 00:05:00 Section 04 Lesson 1-Working with Text Strings 00:05:00 Lesson 2-Working with LCASE and UCASE Functions 00:05:00 Lesson 3-Working with LEN and TRIM Functions 00:07:00 Lesson 4-Working with LEFT, RIGHT, and MID Functions 00:07:00 Section 05 Lesson 1-Understanding Loops 00:02:00 Lesson 2-Working with For Next Loops 00:07:00 Lesson 3-Working with For Each Loops 00:06:00 Lesson 4-Working with Cells Property 00:08:00 Lesson 5-Working with Do Until Loops 00:09:00 Lesson 6-Working with Do While Loops 00:05:00 Section 06 Lesson 1-Calling Sub Procedures 00:05:00 Lesson 2-Working with Exit Sub 00:04:00 Lesson 3-Working with Message Boxes 00:08:00 Lesson 4-Working with Input Boxes 00:08:00 Lesson 5-Working with VBA Functions 00:12:00 Lesson 6-Working with Object Variable and Set 00:06:00 Section 07 Lesson 1-Understanding and Creating a User Form 00:08:00 Lesson 2-Adding Controls to a User Form 00:16:00 Lesson 3-Adding Code for a User Form 00:10:00 Lesson 4-Launching a User Form from Excel 00:05:00 Section 08 Lesson 1-Getting Started with Debugging 00:10:00 Lesson 2-Stepping Through Your Code 00:06:00 Lesson 3-Working with Breakpoints 00:03:00 Lesson 4-Working with the Immediate Window 00:05:00 Lesson 5-Working with the Locals Window 00:05:00 Lesson 6-Working with the Err Object 00:06:00 Lesson 7-Getting Help-v2 00:07:00 Course Recap Recap 00:02:00 Additional Materials Resource - Excel 365 VBA Expert 00:00:00 Final Exam Final Exam - Excel 365 VBA Expert 00:20:00
Duration 3 Days 18 CPD hours This course is intended for If you have worked in C++ but want to learn how to make the most of this language, especially for large projects, this course is for you. Overview By the end of this course, you'll have developed programming skills that will set you apart from other C++ programmers. After completing this course, you will be able to: Delve into the anatomy and workflow of C++ Study the pros and cons of different approaches to coding in C++ Test, run, and debug your programs Link object files as a dynamic library Use templates, SFINAE, constexpr if expressions and variadic templates Apply best practice to resource management This course begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later lessons, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding lesson will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly. Anatomy of Portable C++ Software Managing C++ Projects Writing Readable Code No Ducks Allowed ? Types and Deduction C++ Types Creating User Types Structuring our Code No Ducks Allowed ? Templates and Deduction Inheritance, Polymorphism, and Interfaces Templates ? Generic Programming Type Aliases ? typedef and using Class Templates No Leaks Allowed ? Exceptions and Resources Exceptions in C++ RAII and the STL Move Semantics Name Lookup Caveat Emptor Separation of Concerns ? Software Architecture, Functions, and Variadic Templates Function Objects and Lambda Expressions Variadic Templates The Philosophers' Dinner ? Threads and Concurrency Synchronous, Asynchronous, and Threaded Execution Review Synchronization, Data Hazards, and Race Conditions Future, Promises, and Async Streams and I/O File I/O Implementation Classes String I/O Implementation I/O Manipulators Making Additional Streams Using Macros Everybody Falls, It's How You Get Back Up ? Testing and Debugging Assertions Unit Testing and Mock Testing Understanding Exception Handling Breakpoints, Watchpoints, and Data Visualization Need for Speed ? Performance and Optimization Performance Measurement Runtime Profiling Optimization Strategies Cache Friendly Code
With this hands-on video course, you'll gain a solid understanding of AWS, DevOps, and deployments at scale using ECS with the help of examples and activities. Throughout the course, you'll get to grips with a wide variety of AWS services.
This course introduces you to the paradigm and features of object-oriented programming using Java, an object-oriented language popular in the industry and IntelliJ. The course entails modeling objects and classes, object-oriented facilities like inheritance and polymorphism, native data structures, exception handling, file management, and streams.
Legionella Responsible Person Online is suitable for any persons wanting to gain an understanding of Legionella and how to prevent or control the risk of exposure to Legionella bacteria.
The course starts with requirements gathering and ends with implementation, which are the two main elements of software development. Through this course, you will learn to use UML diagrams to analyze and design classes and to highlight relationships between the classes. You will also learn to implement and program the design in C++, C#, and Java.
This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.
Learn how to perform security audits, penetration testing, and code auditing for modern software in the web/cloud, mobile, and desktop. This course will help you master industry standards and enable you to carry out professional assessments to secure technologies as well as communicate risks to high-level executives, management, and technical staff.
This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.