- Professional Development
- Medicine & Nursing
- Arts & Crafts
- Health & Wellbeing
- Personal Development
221 Data Structure courses in Belfast delivered On Demand
Database Administrator
By Compliance Central
***Want to Unlock the Secrets of Data? Become a Database Mastermind!*** The world runs on data, and Database Administrators (DBAs) are the heroes behind the scenes ensuring its smooth operation. Database administrators in the UK are in high demand, with an average salary of £41,501 per year. The job market is expected to grow by 9% in the next few years, so now is a great time to start a career as a database administrator. As a database administrator, you will be responsible for the design, implementation, and maintenance of databases. You will also be responsible for ensuring the security and integrity of the data. If you are interested in a challenging and rewarding career in technology, then database administration is a great option for you. Our Database Administrator course starts with the basics of Database Administrator and gradually progresses towards advanced topics. Therefore, each lesson of this Database Administrator course is intuitive and easy to understand. Learning Outcomes By the end of this Database Administrator course, you'll be able to: Install and configure MySQL Server and MySQL Workbench. Create, manage, and manipulate databases and tables using SQL. Insert, update, and delete data efficiently. Design and implement database relationships to ensure data integrity. Utilize aggregate functions to summarize and analyze data. Reverse engineer existing databases and forward engineer data models. Why would you choose the Database Administrator course from Compliance Central: Lifetime access to Database Administrator course materials Full tutor support is available from Monday to Friday with the Database Administrator course Learn Database Administrator skills at your own pace from the comfort of your home Gain a complete understanding of Database Administrator course Accessible, informative Database Administrator learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Database Administrator Study Database Administrator in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Database Administrator Course Database Administrator Curriculum Breakdown of the Database Administrator Course Unit 01: Introduction Gain foundational knowledge of MySQL Server and databases, including installation and initial setup. Module 01: Introduction to MySQL Server and Databases Module 02: Download and Install MySQL Server and MySQL Workbench Unit 02: Manipulating Tables and Data - CRUD Operations Learn to manage databases through creating, reading, updating, and deleting (CRUD) data in SQL and MySQL Workbench. Module 01: Connect and Create a Database Module 02: Drop or Remove Database Module 03: Create an SQL Database Table Module 04: Insert Data into the Table with SQL Script Module 05: Insert Data into the Table with Workbench Module 06: Select Data from the Table with SQL Script Module 07: Select Data with Filters Module 08: Update Data in the Table Module 09: Delete Data from the Table Module 10: Reverse Engineer Database into Model Module 11: Forward Engineer Data Model into Database Unit 03: Relationships and Foreign Keys Understand and implement relationships, foreign keys, and normalization in databases, enhancing data integrity and querying capabilities.ys Module 01: What are Relationships, Foreign Keys and Normalization? Module 02: Create Relationships with Data Modeling Module 03: Create Relationships with Workbench Table Design Tool Module 04: Insert Records in Related Tables Module 05: Run Queries on Related Tables (Inner Joins) Module 06: Left, Right and Cross-Joins Unit 04: Aggregate Functions Explore aggregate functions to perform calculations on data sets, including grouping, averaging, counting, and summing data. Module 01: Grouping Data using SQL GROUP BY Clause Module 02: SQL AVG Aggregate Function Module 03: SQL COUNT Aggregate Function Module 04: SQL MIN & MAX Aggregate Functions Module 05: SQL SUM Aggregate Function Module 06: Splitting Groups using HAVING Clause CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Database Administrator course is ideal for: Individuals with an interest in data management and database systems. IT professionals seeking to expand their skillset and transition into a Database Administrator role. Business analysts who want to gain a deeper understanding of data structures and manipulation techniques. Anyone passionate about building and maintaining robust and efficient databases. Those looking to enhance their career prospects in the ever-growing field of data. Requirements To enrol in this Database Administrator course, all you need is a basic understanding of the English Language and an internet connection. Career path A successful career as a Database Administrator can open doors to exciting opportunities. Here are some potential career paths to consider: Database Administrator Database Analyst Database Architect Data Warehouse Specialist Business Intelligence Analyst Data Scientist (with further specialization) Database Security Specialist Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
Deep Learning & Neural Networks Python - Keras: For Dummies
By IOMH - Institute of Mental Health
Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field. The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand. And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite. You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies 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 Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.
Re-imaging the World´s Economic Data
By IIL Europe Ltd
Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Re-imaging the World´s Economic Data
By IIL Europe Ltd
Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Advanced C++
By Xpert Learning
About Course Advanced C++: Master the Language of Champions Learn the advanced C++ concepts and techniques you need to build high-performance software applications. In this comprehensive course, you will learn: Generic programming with templates Metaprogramming with constexpr and reflection Advanced object-oriented programming techniques Concurrency and parallelism Performance optimization This course is designed for experienced C++ programmers who want to take their skills to the next level. You will learn from an experienced C++ developer who will teach you the concepts and skills you need to succeed. By the end of this course, you will be able to: Write high-performance, efficient, and maintainable C++ code. Use advanced C++ features to solve complex problems. Design and implement complex software applications. Build a portfolio of real-world C++ applications Throughout the course, you will work on a variety of hands-on projects to build your skills and create a portfolio of real-world C++ applications. Enroll today and start your journey to becoming a C++ expert! Bonus: Get access to the instructor's personal collection of C++ resources. Why learn advanced C++? C++ is a powerful and versatile language that can be used to build a wide variety of software applications. It is also one of the most in-demand languages in the software industry. Learning advanced C++ will give you a significant advantage in the job market and allow you to build more complex and sophisticated software applications. Here are some of the benefits of learning advanced C++: C++ is a high-performance language that can be used to build fast and efficient software applications. C++ is a versatile language that can be used to build a wide variety of software applications, including operating systems, embedded systems, games, and more. C++ is an in-demand language in the software industry, and there are many job opportunities for C++ programmers. Learning advanced C++ will give you a significant advantage in the job market and allow you to build more complex and sophisticated software applications. So what are you waiting for? Enroll in this course today and start your journey to becoming a C++ expert! What Will You Learn? Learn to program with one of the most powerful programming languages that exists today, C++ Master on every advanced C++ programming topics Learn to code C++ from scratch for application development Coding advanced problem statements using the C++ concepts Setting up a local C++ coding environment to create your own coding practices Develop skills on real-world class, object and methods programming techniques Learn how to implement C++ templates, template functions, and classes How to handle error, exception handling and catch real time app errors Apply overloading methods and deep inheritance to how code reusing for your development Polymorphism and abstract classes to implemeting secure code in multiple methods Learn to Apply overloading techniques in C++, Dynamic operators and conversions Course Content Getting Started with C++ Introduction Course Curriculum Getting Started on Windows, Mac or Linux How to Ask Great Questions FAQ's Get and Installing Visual Studio Creating Project C++ Hello World Program Compile and Run a CPP program C++ Object Oriented Programming (theory) Introduction What Are oops Data Structures What Are Access Modifiers C++ Classes Introduction Creating a Class Creating an Objects Class Methods Adding Parameters Constructors Constructor with Parameters The Destructor Get and Set Methods Access Modifiers Static Members C++ Objects and Methods Introduction Constant Objects and Functions Pointers to Class and Object Array of Objects C++ Operator Overloading Introduction Overloading the Equality Operator Overloading the Stream Insertion Operator Overloading the Stream Extraction Operator Overloading the Binary Arithmetic Operators Overloading the Assignment Operators Overloading the Unary Operators Overloading the Subscript Operator Inline Functions C++ Inheritance and Polymorphism Introduction Inheritance Protected Members Constructors and Inheritance Destructors and Inheritance Overriding Methods Polymorphism Abstract Classes Final Classes and Methods Deep Inheritance and Methods Multiple Inheritance C++ Error Handling and Exceptions Introduction What Are Exceptions Throwing an Exception Catching an Exception Catching Multiple Exceptions Create Custom Exceptions C++ Templates Introduction Creating a Function Template Function Template Arguments Overloading a Function Template Creating a Class Template Templates with Multiple Parameters A course by Sekhar Metla IT Industry Expert Xpert Learning RequirementsGood to have C++ basic, intermediate to start hereNo software is required in advance of the course (all software used in the course is free) Audience C++ Advanced level developers curious about programming Anyone interested in learning the Advanced concepts of C++ Anyone who wants to grasp the concept with real-world examples of coding Anyone who wants to become a proficient software developer Anyone who wants to become an independent programmer Audience C++ Advanced level developers curious about programming Anyone interested in learning the Advanced concepts of C++ Anyone who wants to grasp the concept with real-world examples of coding Anyone who wants to become a proficient software developer Anyone who wants to become an independent programmer
Visualizing Data Designing Informative Graphics
By Compete High
Overview: Visualizing Data: Designing Informative Graphics Welcome to 'Visualizing Data: Designing Informative Graphics,' a comprehensive course designed to equip you with the skills needed to create compelling and informative visualizations from raw data. In today's data-driven world, the ability to effectively communicate insights through visualizations is crucial for professionals across various industries. Module 1: Introduction to Data Visualization In this module, you'll embark on your journey into the world of data visualization. Understand the importance of data visualization, its applications, and the fundamental principles behind creating impactful visuals. Module 2: Choosing the Right Visualization Types Discover the diverse range of visualization types available and learn how to select the most suitable ones for different data sets and objectives. Gain insights into when to use bar charts, line graphs, scatter plots, and more. Module 3: Data Preparation and Cleaning Master the art of preparing and cleaning data for visualization. Learn essential techniques to ensure data accuracy, completeness, and consistency, laying a solid foundation for effective visualization creation. Module 4: Design Principles for Effective Visualizations Unlock the secrets of designing visually appealing and informative graphics. Explore principles such as color theory, typography, layout, and visual hierarchy to create engaging and user-friendly visualizations. Module 5: Basic Charts and Graphs Dive into the world of basic charts and graphs, including bar charts, pie charts, histograms, and line graphs. Understand how to construct these fundamental visualizations accurately to convey your message effectively. Module 6: Advanced Charts and Graphs Take your visualization skills to the next level with advanced chart types such as heatmaps, treemaps, and network diagrams. Explore complex data structures and learn to visualize them in a clear and intuitive manner. By the end of this course, you'll have the knowledge and confidence to transform raw data into visually compelling stories that drive understanding and decision-making. Whether you're a data analyst, business professional, or aspiring data visualization expert, 'Visualizing Data: Designing Informative Graphics' is your gateway to mastering the art of data visualization. Don't miss out on this opportunity to elevate your skills and make a lasting impact with your data presentations. Enroll now and embark on your journey towards becoming a proficient data visualization practitioner! Course Curriculum Module 1_ Introduction to Data Visualization Introduction to Data Visualization 00:00 Module 2_ Choosing the Right Visualization Types Choosing the Right Visualization Types 00:00 Module 3_ Data Preparation and Cleaning Data Preparation and Cleaning 00:00 Module 4_ Design Principles for Effective Visualizations Design Principles for Effective Visualizations 00:00 Module 5_ Basic Charts and Graphs Basic Charts and Graphs 00:00 Module 6_ Advanced Charts and Graphs Advanced Charts and Graphs 00:00
Learn C++ Advanced: Master Classes on OOPs and Templates
By Compete High
ð Unleash the Power of C++ with our Exclusive Advanced Master Classes! ð Ready to elevate your C++ skills to the next level? Dive deep into the world of Object-Oriented Programming (OOP) and Templates with our cutting-edge online course: 'Learn C++ Advanced: Master Classes on OOPs and Templates.' ð¥ What You'll Gain: â Mastery of OOP Concepts: Go beyond the basics and discover advanced OOP principles that will make your code more robust, scalable, and maintainable. â Template Magic: Unlock the true potential of C++ templates and learn how to leverage them for generic programming, creating flexible and efficient code. â Real-world Applications: Gain practical insights by working on hands-on projects and real-world case studies, applying your newfound knowledge to solve complex problems. â Expert Guidance: Learn from industry experts with years of experience in C++ development. Our instructors are dedicated to helping you grasp even the most challenging concepts. â Comprehensive Curriculum: Cover a wide range of advanced C++ topics, from smart pointers and inheritance to template metaprogramming and design patterns. â Lifetime Access: Get access to course materials, updates, and a vibrant community for a lifetime. Stay current with the latest C++ trends and technologies. â Certification of Completion: Showcase your expertise with a prestigious certificate upon successfully completing the course. Stand out to employers and peers alike. ð¡ Who Is This Course For? Whether you're a seasoned C++ developer looking to enhance your skills or a passionate learner eager to delve into advanced programming concepts, this course is tailored for you. It's the perfect stepping stone for those aiming to become elite C++ developers. ð Why Choose Our Course? ð Engaging Content: Our modules are designed for maximum engagement, combining video lectures, coding exercises, quizzes, and real-world projects. ð¤ Community Support: Join a thriving community of learners and interact with instructors and peers. Exchange ideas, seek help, and collaborate on projects. ð Proven Results: Our students have reported increased confidence and success in their professional endeavors after completing our courses. Don't miss the opportunity to become a C++ master! Enroll now and unlock the full potential of your programming journey. Course Curriculum Module- 1 Introduction 00:00 Course Curriculum 00:00 Getting started on windows, mac or Linux 00:00 How to ask great questions 00:00 FAQ's 00:00 Get and Installing Visual Studio Editor 00:00 Creating First Project 00:00 C++ Hello World Program 00:00 Compile and Run a CPP Program 00:00 Module- 2 Introduction 00:00 What are oops 00:00 Data structures 00:00 What are access modifiers 00:00 Module- 3 Introduction 00:00 Creating a class 00:00 Creating an objects 00:00 Class methods 00:00 Adding parameters 00:00 Constructors 00:00 Constructor with parameters 00:00 Default constructor 00:00 The destructor 00:00 Get and set methods 00:00 Access modifiers 00:00 Static members 00:00 Module- 4 Introduction 00:00 Constant objects and functions 00:00 Pointers to class and object 00:00 Array of objects 00:00 Module- 5 Introduction 00:00 Overloading the equality operator 00:00 Overloading the stream insertion operator 00:00 Overloading the stream insertion operator 00:00 Overloading the binary arithmetic operators 00:00 Overloading the assignment operators 00:00 Overloading the unary operators 00:00 Overloading the subscript operator 00:00 Inline functions 00:00 Module- 6 Introduction 00:00 Inheritance 00:00 Protected members 00:00 Constructors and Inheritance 00:00 Destructors and Inheritance 00:00 Overriding methods 00:00 Polymorphism 00:00 Abstract classes 00:00 Final classes and methods 00:00 Deep inheritance and methods 00:00 Multiple Inheritance 00:00 Module- 7 Multiple Inheritance 00:00 What are exceptions 00:00 Throwing an exception 00:00 Catching an exception 00:00 Catching multiple exceptions 00:00 Create custom exceptions 00:00 Module- 8 Introduction 00:00 Creating a function template 00:00 Function template arguments 00:00 Overloading a function template 00:00 Creating a class template 00:00 Templates with multiple parameters 00:00
