1032 String courses

Overview This comprehensive course on Mastering Java for Beginners & Experts will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Mastering Java for Beginners & Experts 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 Mastering Java for Beginners & Experts. It is available to all students, of all academic backgrounds. Requirements Our Mastering Java for Beginners & Experts 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 13 sections • 70 lectures • 05:35:00 total length •Introduction To This Course.: 00:02:00 •Setup Eclipse On Windows: 00:05:00 •Setup Eclipse On Mac OS X: 00:05:00 •Setup Eclipse On Linux: 00:05:00 •Run Code Online: 00:02:00 •Printing To The Console: 00:04:00 •Comments.: 00:06:00 •Variables.: 00:05:00 •Datatypes: 00:16:00 •Constant Variables: 00:03:00 •Console Input: 00:04:00 •Operators: 00:06:00 •If statement (Conditional Statement): 00:08:00 •Switch statement (Conditional Statement): 00:07:00 •For Loop.: 00:05:00 •While Loop.: 00:05:00 •Do While Loop.: 00:05:00 •Loop Control Statements: 00:03:00 •Numbers: 00:08:00 •Characters: 00:06:00 •Strings.: 00:05:00 •Arrays: 00:08:00 •For Each Loop: 00:04:00 •Date & Time: 00:04:00 •Regular Expressions.: 00:07:00 •Simple Example 1: 00:05:00 •Passing Values To Functions: 00:03:00 •Method Overloading: 00:05:00 •Command Line Arguments: 00:04:00 •Multiple Arguments Simplified: 00:06:00 •Byte Streams: 00:07:00 •Character Streams: 00:02:00 •Standard Streams: 00:04:00 •Listing Files & Folders: 00:02:00 •Creating Folders: 00:02:00 •Simple Example 2: 00:05:00 •Multiple Catch Blocks: 00:04:00 •Throw and Throws Keywords: 00:03:00 •Finally Block: 00:03:00 •User Created Exceptions: 00:08:00 •Simple Class Example: 00:08:00 •Constructor: 00:04:00 •This keyword: 00:05:00 •Inheritance.: 00:06:00 •Modifier Types: 00:04:00 •Overriding: 00:05:00 •Abstraction: 00:05:00 •Interfaces: 00:04:00 •Enum: 00:03:00 •Stacks.: 00:04:00 •Vector.: 00:06:00 •BitSet: 00:05:00 •Properties: 00:05:00 •Hashtable: 00:04:00 •List.: 00:04:00 •Set.: 00:04:00 •SortedSet: 00:03:00 •Map: 00:03:00 •Map.Entry: 00:03:00 •Sorted Map: 00:02:00 •Enumeration.: 00:05:00 •Client Example.: 00:07:00 •Server Example.: 00:11:00 •Creating Threads Using a Runnable Interface: 00:09:00 •Creating Threads by Extending a Thread Class: 00:03:00 •Simple Example 3: 00:04:00 •Keyboard Events: 00:04:00 •Mouse Events: 00:04:00 •Resource.: 00:00:00 •Assignment - Mastering Java for Beginners & Experts: 00:00:00

Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00

Overview This comprehensive course on Kotlin for Android will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Kotlin for Android 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 Kotlin for Android. It is available to all students, of all academic backgrounds. Requirements Our Kotlin for Android 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 9 sections • 96 lectures • 22:57:00 total length •Promo Video: 00:02:00 •Introduction: 00:01:00 •First look at Kotlin: 00:04:00 •Install JDK and Android Studio for Mac: 00:13:00 •Install JDK and Android Studio for Windows: 00:10:00 •Android Emulator: 00:12:00 •DinnerDecider Part 1: 00:21:00 •DinnerDecider Part 2: 00:24:00 •DinnerDecider Part 3: 00:11:00 •Run on a Real Device!: 00:07:00 •Run on a Real Device from Windows!: 00:06:00 •Installing IntellijIDEA for Mac: 00:09:00 •Installing IntellijIDEA for Windows: 00:09:00 •Variables with Kotlin: 00:17:00 •Strings with Kotlin: 00:22:00 •Numbers and Operators with Kotlin: 00:04:00 •Functions with Kotlin: 00:17:00 •Conditional Logic with Kotlin: 00:19:00 •Collections with Kotlin: 00:19:00 •Loops with Kotlin: 00:09:00 •Nullability with Kotlin: 00:18:00 •Classes and Inheritance with Kotlin: 00:28:00 •Lambda with Kotlin: 00:23:00 •Intro to Git and Terminal: 00:01:00 •Git and Version Control - The Fun Way!: 00:12:00 •Terminal Basics - Changing Directories: 00:06:00 •Terminal Basics - Creating Directories and Files: 00:05:00 •Terminal Basics - Copying and Renaming Files: 00:09:00 •Terminal Basics - Deleting Files and Directories: 00:06:00 •Terminal Basics - Git Basics: 00:17:00 •Setting up Github: 00:05:00 •Working with Local and Remote Repositories: 00:11:00 •Handling Git Merge Conflicts: 00:17:00 •Using Git with Android Studio: 00:13:00 •Importing Projects and Merge Conflicts: 00:15:00 •Intro to Android Constraint Layout: 00:16:00 •Phone Portrait Layout Part 1: 00:20:00 •Phone Portrait Layout Part 2: 00:19:00 •Tablet Portrait Layout: 00:27:00 •Tablet Landscape: 00:24:00 •Intro to the app: 00:02:00 •Welcome Screen Layout: 00:22:00 •League Selection Layout: 00:21:00 •Intents and Context: 00:20:00 •Lifecycle Overview: 00:04:00 •Lifecycle in action: 00:13:00 •Skill Selection Layout: 00:16:00 •Buttoning up the Activities: 00:18:00 •Toggling the Skills: 00:21:00 •Parcelable: 00:13:00 •Instance State: 00:13:00 •Swoosh Challenge: 00:01:00 •CoderSwag Introduction: 00:02:00 •Data Structure: 00:19:00 •Simple ListView: 00:14:00 •Custom List Adapter: 00:20:00 •View Holder: 00:12:00 •RecyclerView Adapter: 00:29:00 •Recycler View Clicks: 00:13:00 •Product List View: 00:10:00 •Product Recycle Adapter: 00:23:00 •Smack Introduction: 00:04:00 •Project Setup: 00:23:00 •MainActivity UI Setup: 00:18:00 •Login Activity UI: 00:12:00 •CreateUserActivity UI: 00:14:00 •Generate Avatar and Background Color: 00:15:00 •Webrequests and APIs: 00:09:00 •Hosting API: 00:20:00 •Local Hosting API: 00:20:00 •Our First Web Request: 00:20:00 •Registering a User: 00:18:00 •Login User: 00:27:00 •Creating a User: 00:23:00 •Polishing up Create User Activity: 00:17:00 •Broadcast Receiver: 00:26:00 •Find User: 00:20:00 •Polishing up the Login Activity: 00:11:00 •Add Channel Dialog: 00:15:00 •Sockets: 00:17:00 •Sockets.On: 00:21:00 •Downloading Channels: 00:26:00 •Shared Preferences: 00:24:00 •Channel Selection: 00:12:00 •Send and Receive Message: 00:18:00 •Downloading Messages: 00:21:00 •Displaying Messages: 00:23:00 •Date Formatter: 00:17:00 •Intro to Section - Google Play Store: 00:02:00 •Side Loading: 00:10:00 •Registering Account: 00:04:00 •Removing Logs: 00:06:00 •Generate Signed APK: 00:06:00 •Store Listing: 00:18:00 •Published!: 00:06:00 •Assignment -Kotlin for Android: 00:00:00

Overview Dive into the dynamic world of computer science with our comprehensive 'Computer Science with Python Course'. Python, a versatile and widely used programming language, serves as the foundation for this course, offering learners a gateway into the intricate realm of computing. From installing Python and understanding its documentation to mastering advanced concepts like closures, classes, and data hiding, this course is meticulously designed to cater to beginners and those looking to deepen their knowledge. With a curriculum that's rich and varied, you'll be equipped with the skills to tackle real-world challenges, making you a sought-after asset in the ever-evolving tech industry. The course curriculum is structured to ensure a smooth learning curve. Starting with foundational topics such as command line usage, variables, and simple Python syntax, learners will gradually progress to more advanced subjects.  In the digital age, proficiency in a programming language like Python is invaluable. Whether you're aiming to kickstart a career in tech, enhance your current skill set, or simply satiate your curiosity, this course promises a transformative learning experience. With a blend of theoretical knowledge and its practical application, you'll be poised to make significant strides in the world of computer science. Learning Outcomes of Computer Science with Python Course: Understand Python's foundational concepts, including its installation, documentation, and basic syntax. Gain proficiency in working with various Python data types such as strings, lists, dictionaries, and tuples. Develop the ability to create and manipulate functions, including lambda functions, generators, and closures. Acquire skills in object-oriented programming with a focus on classes, inheritance, and data hiding. Implement advanced programming constructs and handle exceptions efficiently.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2020/01/Computer-Science-with-Python-Course-Introduction-Video-1.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Computer Science with Python Course? Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Computer Science with Python Course you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Computer Science with Python course for? Beginners eager to delve into the realm of computer science and programming. Individuals looking to add Python programming to their skill set. Tech enthusiasts keen on understanding advanced Python concepts. Students pursuing computer science and needing a comprehensive Python guide. Professionals in tech roles aiming to enhance their coding capabilities. Prerequisites This Computer Science with Python Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. Career Path Python Developer: £45,000 - £70,000 Annually Data Scientist: £50,000 - £80,000 Annually Software Engineer: £40,000 - £75,000 Annually Backend Developer: £45,000 - £72,000 Annually Systems Analyst: £35,000 - £60,000 Annually DevOps Engineer: £50,000 - £85,000 Annually Course Curriculum Module 01 A Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Module 02 Additional Topics 00:23:00 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Module 03 Data Types 00:24:00 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 04 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Module 05 Function Objects 00:07:00 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Mock Exam Mock Exam - Python Developer 00:20:00 Final Exam Final Exam - Python Developer 00:20:00

*** LIMITED SALE OFFER *** **CPD & IAO Accredited | Tutor Support & Exam Included | Student ID Card | 1 Year Access | 24/7 Student Support ** Improve your professional knowledge and master new abilities with the Jewellery Making & Designing course, and learn at your own pace using your own resources. With this fantastic jewellery-making and design course, you can finish your distance learning course also gain relevant skills and acquire tremendous knowledge on the subject all without leaving your own home! In addition, you will have full course access for one year after you enrol on the Jewellery Making & Designing course. That means you are free to take your time and complete the Jewellery Making & Designing course at your own pace. Begin your study of jewellery design and creation by enrolling in the Jewellery Making & Designing course now. Use any Internet-enabled device, including computers, tablets, and smartphones. The 24/7 assistance supplied to you while on the Jewellery Making & Designing course is assured since it is offered round the clock. So take advantage of this once-in-a-lifetime opportunity and enrol on the Jewellery Making & Designing course. Enrolling on this course gives you access to cutting-edge training content, which will highlight the fundamentals you need to master in your chosen profession and help you land your ideal job. Why Choose The Jewellery Making & Designing Course? Student ID card with amazing discounts - completely for FREE! (Postal charges will be applicable for international delivery) Certificates available in both PDF and hard copy format Interactive, high-quality course content with 24/7 online access Full tutor support and learning assistance included ****Course Curriculum**** Here are the topics you will cover on the Jewellery Making & Designing course Course: ***Jewellery Making & Designing*** Jewellery Making and Beading History of Beads Different Kinds of Beads and Its Definitions Different Kinds of Gemstones and Its Definitions Decorating Jewellery and Beads Making Magic with Beads, Crystals, Pearls and Stones Setting Up Your Workshop Discovering Simple Jewelry Making Techniques Uncovering the Simple Secrets of Stringing and Knotting Different Stringing and Knotting Jewelry Projects Different Wire Wrapping Jewelry Projects Common Jewelry Mistakes to Avoid Jewelry for Every Occasion Creating Fun, Funky Jewelry for Everyday Wear Everyday Jewelry Projects Crafting your Own Evening, Bridal and Holiday Jewelry Evening Jewelry Projects Showcase Your Accomplishment of New Skills: Get a Certification of Completion Upon successful completion of the course, you will receive proper certification that is accredited by IAO and universally accepted. You can order your certificate at a cost of £10 for PDF and £29 for hardcopy certificate or both for £34. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Jewellery Making & Designing course has been professionally designed for motivated learners looking to add a new skill to their CV and stand head and shoulders above the competition. Learn the latest industry-specific information with the Jewellery Making & Designing course. Enrol on the Jewellery Making & Designing course and learn a new professional skill from anywhere, at any time! Requirements Enrol on the Jewellery Making & Designing course with no formal entry requirements! If you have a passion for knowledge and want to learn something new, register for the Jewellery Making & Designing course without delay. We only ask that all students have a passion for learning and literacy and be over 16. Complete the Jewellery Making & Designing course online from your computer, tablet, or smartphone, and learn in a way that suits you. Career path Some common career paths you can follow after finishing the Jewellery Making & Designing course are: Diamond setters Engravers Gemologists Gem cutters

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Overview This comprehensive course on Complete iOS 11 and Swift 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Complete iOS 11 and Swift 4 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 Complete iOS 11 and Swift 4. It is available to all students, of all academic backgrounds. Requirements Our Complete iOS 11 and Swift 4 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 13 sections • 177 lectures • 19:08:00 total length •iOS 11 Course Overview: 00:11:00 •Install Xcode 9: 00:07:00 •Xcode 9 Beta 4 Update: 00:09:00 •App: Hustle - Your first iOS 11 App: 00:22:00 •Variables, operators, and how computers work: 00:17:00 •Strings in Swift: 00:15:00 •Working with numbers in Swift: 00:20:00 •Swift Functions: 00:23:00 •Booleans: 00:21:00 •Constants: 00:10:00 •Array Data Structure in Swift: 00:13:00 •Swift Loops: 00:19:00 •Dictionary Data Structure in Swift: 00:19:00 •Object Oriented Programming in Swift: 00:12:00 •Inheritance: 00:08:00 •Polymorphism: 00:08:00 •Optionals: 00:21:00 •Enumerations: 00:20:00 •Extensions: Part 1: 00:15:00 •Extensions: Part 2: 00:21:00 •Intro to Protocols, Delegates - Numbers Example: 00:13:00 •Intro to Protocols, Delegates Part 2 - Question Generator: 00:18:00 •Protocols, Delegates - Building Color Magic App UI: 00:17:00 •Protocols, Delegates - Using the Delegate Method in Color Magic App: 00:16:00 •Protocols, Delegates - Using Mutating Functions in Types: 00:18:00 •Git and Version Control - The Fun Way!: 00:12:00 •Terminal Basics - Changing Directories: 00:06:00 •Terminal Basics - Creating Directories and Files: 00:05:00 •Terminal Basics - Copying and Renaming Files: 00:09:00 •Terminal Basics - Deleting Files and Directories: 00:06:00 •Git Basics: 00:17:00 •Setting up Github: 00:05:00 •Working with Local and Remote Repositories: 00:11:00 •Handling Git Merge Conflicts: 00:17:00 •App: Swoosh 01 - Creating the Welcome Screen: 00:25:00 •App: Swoosh 02 - Working with Frames: 00:16:00 •App: Swoosh 03 - Intro to Auto Layout: 00:27:00 •App: Swoosh 04 - Working with Stack Views: 00:27:00 •App: Swoosh 05 - Intro to Segues (Changing Screens): 00:10:00 •App: Swoosh 06 - Refactoring in Xcode 9: 00:10:00 •App: Swoosh 07 - Debugging: setValue forUndefinedKey: 00:04:00 •App: Swoosh 08 - Programmatic Segues: 00:09:00 •App: Swoosh 09 - IBActions (Handling Events) and Data Models: 00:16:00 •App: Swoosh 10 - Passing Data Between View Controllers: 00:12:00 •App: Dev Profile 01 - Auto layout for iPhones: 00:22:00 •App: Dev Profile 02 - Auto layout for iPads (Size Classes): 00:20:00 •App: Window Shopper 01 - Custom Text Fields: 00:18:00 •App: Window Shopper 02 - Input Accessory Views: 00:15:00 •App: Window Shopper 03 - Unit Testing our Data: 00:17:00 •App: Window Shopper 04 - Calculation Algorithm: 00:13:00 •App: Window Shopper 05 - Custom Drawing with drawRect: 00:12:00 •App: Coder Swag 01 - Project creation: 00:23:00 •App: Coder Swag 02 - Tableviews, Delegate, and Data Source: 00:33:00 •App: Coder Swag 03 - Collection Views (Grid Layouts): 00:13:00 •App: Coder Swag 04 - Working with Data Models: 00:14:00 •App: Coder Swag 05 - Displaying Data in Collection View Cells: 00:20:00 •Intro to Chat App: 00:04:00 •App: Smack - Project Setup: 00:26:00 •App: Smack - SWReveal: 00:20:00 •App: Smack - ChannelVC UI: 00:25:00 •App: Smack - LoginVC UI: 00:22:00 •App: Smack - CreateAccountVC UI: 00:19:00 •App: Smack - Web request and API: 00:09:00 •App: Smack - Hosting API: 00:20:00 •App: Smack - Locally Hosting API: 00:18:00 •App: Smack - Creating a web request in Xcode: 00:28:00 •App: Smack - Registering a User: 00:16:00 •App: Smack - Logging in a user: 00:20:00 •App: Smack - Creating a user: 00:26:00 •App: Smack - Avatar Picker Part 1: 00:19:00 •App: Smack - Avatar Picker Part 2: 00:20:00 •App: Smack - Generate a Avatar BG Color: 00:26:00 •App: Smack - LoggedIn Interface: 00:23:00 •App: Smack - Profile View: 00:25:00 •App: Smack - Logging in users: 00:23:00 •App: Smack - Getting channels: 00:19:00 •App: Smack - Channels TableView: 00:14:00 •App: Smack - Add Channel VC: 00:19:00 •App: Smack - Sockets and Channels: 00:26:00 •App: Smack - Refining Login Flow: 00:19:00 •App: Smack - Fetching Messages: 00:20:00 •App: Smack - Sending First Message: 00:17:00 •App: Smack - Displaying Chat Messages: 00:18:00 •App: Smack - Sockets and Messages: 00:19:00 •App: Smack - Typing Users: 00:22:00 •App: Smack - Unread Channels: 00:18:00 •Where to go from here: 00:08:00 •I'm Back: 00:08:00 •Intro to App: Pixel City: 00:02:00 •Creating Xcode Project: Pixel City: 00:04:00 •Installing Alamofire / AlamofireImage Cocoapods: 00:07:00 •Building MapVC UI /Conforming to MKMapViewDelegate /Setting Delegate of mapView: 00:15:00 •Requesting Location Services in iOS 11 / Centering Map On User Location: 00:18:00 •Adding UITapGestureRecognizer to Drop Custom Pins on MapView: 00:15:00 •Setting a Custom Map Annotation Color: 00:05:00 •Animating Photos View / Programmatically adding spinner and label subviews: 00:20:00 •Adding UILabel for Pull Up View / Adding UICollectionView Programmatically: 00:17:00 •Getting API Key from Flickr / Using Flickr API URL Format: 00:14:00 •Using Alamofire to Download URLS: 00:21:00 •Using Alamofire to Download Images / Cancelling All Sessions: 00:16:00 •Setting Up UICollectionView / Adding Images / Reloading UICollectionView: 00:10:00 •Building PopVC / Presentation PopVC When UICollectionViewCell is Tapped: 00:16:00 •Adding 3D Touch Peek: 00:15:00 •Challenge 1: 00:02:00 •Setting up developer: 00:10:00 •Implementing Google AdMob: 00:19:00 •Fetching a list of Products: 00:15:00 •Starting an in-app Purchase: 00:09:00 •Testing in-app Purchases: 00:18:00 •Restoring in-app Purchases after App Deletion: 00:09:00 •Intro to App: GoalPost: 00:03:00 •Creating Xcode Project / Project Folders: 00:04:00 •Building GoalsVC: 00:14:00 •Building GoalCell: 00:14:00 •What is Core Data?: 00:06:00 •Creating Goal Core Data Entity and Attributes: 00:08:00 •Displaying Static GoalCells in UITableView / Creating GoalType Enum: 00:10:00 •Building CreateGoalVC: 00:15:00 •Creating a UIViewController Extension: 00:11:00 •Creating a UIView / UIButton Extension: 00:19:00 •Building FinishGoalVC / Passing Data from CreateGoalVC: 00:19:00 •Saving Goal Data to Persistent Store: 00:13:00 •Fixing Dismissal of FinishGoalVC: 00:07:00 •Fetching Data from Persistent Store / Filling UITableView with Fetched Data: 00:16:00 •Removing Objects from Persistent Store using UITableView Delete Action: 00:11:00 •Setting Goal Progress for UITableViewCell: 00:15:00 •Challenge 2: 00:01:00 •Intro to App: Breakpoint: 00:03:00 •Creating Xcode Project / Setting Up Project Folders: 00:05:00 •Creating Firebase Project: 00:11:00 •Setting Up DataService / Creating Firebase Database Users: 00:11:00 •Building AuthVC and LoginVC in Interface Builder: 00:18:00 •Creating InsetTextField and ShadowView Subclasses: 00:18:00 •Setting up AuthService: 00:13:00 •Building FeedVC and GroupsVC in Interface Builder: 00:16:00 •Presenting LoginVC from AppDelegate / Allowing Login with Email: 00:22:00 •Building MeVC and Adding to UITabBarController: 00:10:00 •Creating CreatePostVC and Uploading Posts to Firebase: 00:20:00 •Creating UIView Extension for Binding Views to Keyboard: 00:15:00 •Building FeedCell: 00:10:00 •Writing the Message Model and Getting All Feed Messages from Firebase: 00:21:00 •Converting UIDs into Emails and Reversing the Order of a TableView: 00:20:00 •Creating CreateGroupVC and Connecting @IBOutlets/Actions: 00:15:00 •Creating UserCell: 00:16:00 •Searching for Email Accounts to Add to Group: 00:19:00 •Adding Users to Group with didSelectRowAt indexPath: 00:21:00 •Creating Groups and pushing them to Firebase: 00:16:00 •Creating GroupCell: 00:15:00 •Creating Group Model and Getting All Groups from Firebase: 00:19:00 •Building GroupFeedVC: 00:18:00 •Initializing Group Data for a Group and Presenting on GroupFeedVC: 00:16:00 •Downloading All Message for a Group and Animating Upon New Message: 00:24:00 •Creating a UIViewController Extension for Presenting GroupFeedVC: 00:07:00 •Challenge 3: 00:02:00 •Intro to app: 00:02:00 •Intro to CoreML: 00:05:00 •What is machine learning?: 00:08:00 •Creating Xcode 9 project: 00:03:00 •Building UI: 00:18:00 •AVFoundation: 00:18:00 •Tap gestures to take snapshot on item: 00:11:00 •Core ML Xcode 9 Beta 4 Update / Fix Preview Photo Crash: 00:03:00 •Downloading CoreML models: 00:21:00 •Adding UI controls for flash control: 00:07:00 •Training your app to speak what it sees: 00:18:00 •App: RampUp - Intro to ARKit App: 00:02:00 •App: RampUp - Resources: 00:04:00 •App: RampUp - Project creation: 00:11:00 •App: RampUp - SceneKit, 3D models: 00:11:00 •App: RampUp - Ramp picker popover: 00:14:00 •App: RampUp - 3D models in SceneKit for popover: 00:18:00 •App: RampUp - 3D models in SceneKit for popover part 2: 00:12:00 •App: RampUp - Detecting taps on 3D objects: 00:17:00 •App: RampUp - Placing ramps in ARKit: 00:24:00 •App: RampUp - Moving objects in 3D space in augmented reality: 00:20:00 •ARKit - where to go next: 00:04:00 •Assignment - Complete iOS 11 and Swift 4: 00:00:00

This course on Electronic Banking Statement in S4HANA provides a comprehensive understanding of electronic bank statements and their integration with SAP. Participants will learn about MT940, automatic payment program setup, invoicing and payments, bank GLs creation, and bank statement processing. Learning Outcomes: Understand the concept of Electronic Bank Statements and their relevance in S4HANA. Familiarize with the MT940 format and its application in electronic banking. Configure the interface between SAP and Electronic Bank Statements. Handle the debits and credits associated with bank statements. Set up the Automatic Payment Program (F110) in S4HANA 2021. Process invoicing and payments using F110. Implement the necessary setup for Electronic Banking Statements. Create bank GLs for Electronic Bank Statements. Learn the step-by-step process of processing a bank statement. Summarize the key takeaways and conclusions from the course. Why buy this Electronic Banking Statement in S4HANA? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Electronic Banking Statement in S4HANA there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Electronic Banking Statement in S4HANA course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Electronic Banking Statement in S4HANA does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electronic Banking Statement in S4HANA was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Electronic Banking Statement in S4HANA is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Kick-off to the Course Course Agenda 00:02:00 Section 02: Introduction to Electronic Bank Statements What is an Electronic Bank Statement (EBS) 00:01:00 Types of Electronic Bank Statements (EBS) 00:01:00 Section 03: The MT940 What is MT940? 00:02:00 Format and Structure of MT940 00:06:00 Content IDs in MT940 00:01:00 Deep Dive into the Content IDs 00:03:00 Recap of the Content IDs list 00:02:00 The returns of MT940 00:09:00 External Transaction Types - BTC's 00:04:00 Section 04: Interface between SAP and EBS The interface between SAP and EBS 00:01:00 Section 05: The Debits and Credits of bank statements Accounting of electronic bank statements in SAP 00:04:00 Best Practices by SAP for bank GLs 00:01:00 Section 06: Automatic Payment Program (F110) setup in S4HANA 2021 Pre-requisites for EBS setup in SAP S4HANA 2021 00:01:00 Company Code Setup for APP 00:07:00 Payment Methods Configuration 00:09:00 House Bank Configuration in S4HANA 2021 00:02:00 House Bank Account Creation via Fiori 00:09:00 Bank Determination setup and Account Symbol creation for Bank Sub-account 00:08:00 Section 07: Invoicing and Payments via F110 Business Partner creation 00:04:00 Vendor Invoice posting 00:01:00 Automatic Payment via F110 00:05:00 Section 08: The Setup! Extended Payment Cycle in SAP 00:02:00 Understanding OT83 transaction 00:06:00 Various bank statement transactions 00:05:00 Section 09: Bank GLs creation for EBS Creation of account symbols 00:02:00 SAP Best Practices for Bank GLs 00:05:00 Assignment of account symbols to GLs 00:02:00 Transaction type to Bank Key assignment 00:01:00 Creation of External Transaction Types 00:02:00 Posting Rules for EBS - 1 00:03:00 Interpretation algorithms for reading EBS 00:17:00 Posting Rules for EBS - 2 00:02:00 Section 10: Processing of Bank Statement Vendor invoice and F110 run 00:03:00 Modifying the MT940 statement 00:08:00 Upload bank statement (FF_5) 00:03:00 Post-processing of EBS (FEBAN) 00:11:00 On-account posting in EBS 00:04:00 EBS Clearing by document reference number 00:08:00 Interpretation algorithm for cheque number 00:01:00 Outgoing payment with the cheque payment method 00:05:00 EBS with cheque number interpretation 1 00:05:00 Deletion of bank statement 00:04:00 EBS with cheque number interpretation 2 00:02:00 Section 11: Conclusion Recap 00:01:00 Section 12: Search Strings Search Strings 00:18:00 Search Strings with BDC Fields 00:15:00 Resources Resources - Electronic Banking Statement in S4HANA 00:00:00

Unleash the power of programming with our course, 'C Programming Language for Beginners on Linux.' Imagine a journey where you seamlessly transition from a novice to a proficient coder, all within the Linux environment. In Lesson 01, delve into the fundamentals, laying a robust foundation for your coding expedition. As you progress through each lesson, unravel the intricacies of loops, variables, and control flow, gaining mastery over the essential building blocks of C programming. Picture yourself navigating the world of pointers, dynamic memory allocation, and file handling, equipping yourself with skills that transcend basic coding. Learning Outcomes Master the fundamentals of C programming, from basic setup to advanced compiler flags. Develop proficiency in working with loops, variables, and control flow for efficient coding. Explore hexadecimal and binary notations, unraveling the mysteries of static variables. Gain hands-on experience with pointers, dynamic memory allocation, and file handling. Extend your coding capabilities by understanding structures, type definitions, and command line arguments. Why choose this C Programming Language for Beginners on Linux course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this C Programming Language for Beginners on Linux course for? Aspiring programmers eager to delve into the world of C coding. Students and beginners seeking a comprehensive guide to C programming on Linux. Tech enthusiasts keen on mastering the fundamentals of coding in a Linux environment. Those looking to enhance their programming skills with a focus on C language. Individuals interested in understanding file handling, pointers, and dynamic memory allocation in C. Career path Junior C Programmer: £25,000 - £30,000 Linux Systems Developer: £30,000 - £40,000 Embedded Software Engineer: £35,000 - £45,000 Systems Analyst: £28,000 - £35,000 C Software Developer: £30,000 - £40,000 Linux Kernel Developer: £40,000 - £50,000 Prerequisites This C Programming Language for Beginners on Linux does not require you to have any prior qualifications or experience. You can just enrol and start learning.This C Programming Language for Beginners on Linux was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum C Programming Language for Beginners on Linux Lesson 01: Explore the Basics and Setup 00:31:00 Lesson 02: Loops, Printing to Screen, Floating Point Variables 00:31:00 Lesson 03: Hexadecimal and Binary Notation, Static Variables 00:31:00 Lesson 04: Methods, Parameters, Strings 00:30:00 Lesson 05: Get Input from User, Compare Strings, Control Flow 00:28:00 Lesson 06: Pointers, Addresses, Printing Patterns to the Screen 00:32:00 Lesson 07: Structures, Dynamic Memory Allocation, Type Definition 00:31:00 Lesson 08: Read and Write Files, Command Line Arguments, Compiler Flags 00:28:00

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