286 Data Structure courses

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 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.

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

“Master SQL programming and database management with MySQL. Learn to create, manage, and analyze data with SQL’s powerful tools in this comprehensive online course.”

Embark on a journey to master Python with our Diploma in Python Fundamentals course. From basic data types to advanced OOP, learn to code efficiently, handle files, and manage errors in Python. Ideal for beginners and those looking to solidify their programming skills.

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Diploma in Python Programming Course Overview The Diploma in Python Programming offers an in-depth exploration of Python, one of the most versatile and in-demand programming languages. This course is designed to provide learners with a strong foundation in Python, covering essential concepts such as data structures, functions, libraries, and file handling. Learners will gain the skills necessary to write Python code to solve real-world problems, enabling them to create applications, automate tasks, and perform data analysis. By the end of the course, learners will have the practical knowledge to use Python effectively for various programming tasks in both professional and personal settings. Course Description This comprehensive course begins with the basics of Python programming, guiding learners through essential concepts such as syntax, data types, and conditional statements. Learners will progress to more advanced topics, including file handling, data storage structures, and error handling. Key modules like the creation of user functions, working with external libraries, and implementing Python in database management provide valuable skills that can be directly applied in the workplace. This course also covers essential tools such as command prompt usage, Jupyter notebooks, and package management in Python. By the end of the course, learners will have developed the confidence and competence to apply Python across various domains, including software development, data analysis, and system automation. Diploma in Python Programming Curriculum Module 01: Introduction to Python Programming Module 02: Getting Started with Python Module 03: Conditional Branching with Python Module 04: Importing External/Internal Library in Python Module 05: Project Rock Paper and Scissors Module 06: Strings Operation in Python Module 07: Date and Time in Python Module 08: File Handling, Read and Write Using Python Module 09: Data Storage Structures: Tuple, List, and Dictionary Module 10: Writing User Functions in Python Module 11: Sending Mail Module 12: Import Tricks in Python Module 13: Import Operating System and Platform Module 14: Exceptions Handling in Python Module 15: Installing Packages and Scheduling in Python Module 16: Database in Python Using SQLite Module 17: Running Programs from Command Prompt and Jupyter Notebook Module 18: Conclusion (See full curriculum) Who is this course for? Individuals seeking to develop a foundational understanding of Python programming. Professionals aiming to enhance their programming skills for career advancement. Beginners with an interest in software development, data analysis, or automation. Anyone looking to pursue a career in programming or technology. Career Path Software Developer Data Analyst Automation Engineer Python Programmer Database Administrator IT Specialist

Learn Web Development from Scratch Course Overview This comprehensive course offers a step-by-step journey through web development, starting from the very basics to advanced concepts. Learners will explore core technologies including HTML, CSS, JavaScript, and Python, gaining the skills necessary to build responsive, interactive websites and dynamic web applications. The course emphasises real-world applications, enabling learners to develop their own web projects and publish them online. By the end of the course, participants will confidently navigate the web development process, from setting up their environment to mastering coding principles and deploying live websites. This course is designed to equip individuals with both foundational knowledge and practical abilities that align with current industry standards, preparing them for career advancement or entry into the tech sector. Course Description This detailed web development course covers a broad spectrum of topics essential for anyone looking to build a solid foundation in creating websites and applications. Starting with environment setup, learners will delve deeply into HTML, progressing through beginner to expert levels, before moving on to CSS for styling and layout control. JavaScript modules provide an introduction to programming logic, data handling, and user interaction techniques, including error handling and client-side validations. The course also introduces Python fundamentals, focusing on its applications in web development and data science. Throughout the modules, learners will engage with structured coding tasks and projects designed to reinforce understanding and boost confidence. The final stages focus on publishing and managing live websites, ensuring learners complete the course ready to contribute effectively in web development roles. Learn Web Development from Scratch Curriculum Module 01: Getting Started Module 02: Setting up Development Environment Module 03: HTML Fundamentals Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: HTML Expert Module 07: HTML Website Project Module 08: CSS Fundamentals Module 09: CSS Intermediate Module 10: CSS Advanced Module 11: CSS Expert Module 12: CSS Website Project Module 13: JavaScript Getting Started Module 14: JavaScript Fundamentals Module 15: JavaScript Strings Module 16: JavaScript Operators Module 17: JavaScript Conditional Statements Module 18: JavaScript Control Flow Statements Module 19: JavaScript Functions Module 20: Data Visualisation (Google Charts) Module 21: JavaScript Error Handling Module 22: JavaScript Client-Side Validations Module 23: Python Introduction Module 24: Python Basic Module 25: Python Strings Module 26: Python Operators Module 27: Python Data Structures Module 28: Python Conditional Statements Module 29: Python Control Flow Statements Module 30: Python Core Games Module 31: Python Functions Module 32: Python Args, KW Args for Data Science Module 33: Python Project Module 34: Publish Your Website for Live (See full curriculum) Who is this course for? Individuals seeking to start a career in web development. Professionals aiming to expand their technical skillset for career growth. Beginners with an interest in coding and digital technologies. Those wanting to build and manage their own websites or web applications. Career Path Junior Web Developer Front-End Developer Web Designer Full-Stack Developer Trainee Software Developer Assistant Digital Content Manager Data Visualisation Specialist

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions.

Duration 3 Days 18 CPD hours This course is intended for Java Fundamentals is designed for tech enthusiasts who are familiar with some programming languages and want a quick introduction to the most important principles of Java. Overview After completing this course, you will be able to: Create and run Java programs Use data types, data structures, and control flow in your code Implement best practices while creating objects Work with constructors and inheritance Understand advanced data structures to organize and store data Employ generics for stronger check-types during compilation Learn to handle exceptions in your code Since its inception, Java has stormed the programming world. Its features and functionalities provide developers with the tools needed to write robust cross-platform applications. Java Fundamentals introduces you to these tools and functionalities that will enable you to create Java programs. The course begins with an introduction to the language, its philosophy, and evolution over time, until the latest release. You'll learn how the javac/java tools work and what Java packages are - the way a Java program is usually organized. Once you are comfortable with this, you'll be introduced to advanced concepts of the language, such as control flow keywords. You'll explore object-oriented programming and the part it plays in making Java what it is. In the concluding lessons, you'll be familiarized with classes, typecasting, and interfaces, and understand the use of data structures, arrays, strings, handling exceptions, and creating generics. Introduction to Java The Java Ecosystem Our First Java Application Packages Variables, Data Types, and Operators Variables and Data Types Integral Data Types Type casting Control Flow Conditional Statements Looping Constructs Object-Oriented Programming Object-Oriented Principles Classes and Objects Constructors The this Keyword Inheritance Overloading Constructor Overloading Polymorphism and Overriding Annotations References OOP in Depth Interfaces Typecasting The Object Class Autoboxing and Unboxing Abstract Classes and Methods Data Structures, Arrays, and Strings Data Structures and Algorithms Strings The Java Collections Framework and Generics Reading Data from Files The Java Collections Framework Generics Collection Advanced Data Structures in Java Implementing a Custom Linked List Implementing Binary Search Tree Enumerations Set and Uniqueness in Set Exception Handling Motivation behind Exceptions Exception Sources Exception Mechanics Best Practices