Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently
Duration 5 Days 30 CPD hours This course is intended for This course is intended for students new to computer programming or experienced programmers who are new to client-side web development. Overview After completing this course, you will be able to: Describe the technologies involved in web development. Create HTML pages with links and images. Explain the benefits of CSS. Style HTML pages with CSS. Explain the concepts of objects, methods, and properties. Work with JavaScript variables. Create their own custom functions in JavaScript. Write flow control logic in JavaScript. Write JavaScript code that listens for and handles events, such as mouse clicks and page loads. Create forms with HTML and validate them with JavaScript. Use regular expressions in JavaScript for advanced form validation. This course is intended for IT professionals interested in becoming client-side web developers. who need to get a jump start on all three technologies. The course includes more than 30 exercises, providing a rapid hands-on introduction to the three major client-side languages: HTML, CSS, and JavaScript. Students should be prepared to cover a lot of ground quickly.This material updates and replaces course Microsoft course 20480 which was previously published under the title Programming in HTML5 with JavaScript and CSS3. Module 1: A Quick Overview of Web Development HTML is Part of a Team Client-side Programming Server-side Programming Web Development Technologies Module 2: Introduction to HTML Exercise: A Simple HTML Document Getting Started with a Simple HTML Document HTML Elements, Attributes, and Comments The HTML Skeleton Viewing the Page Source Special Characters HTML Elements and Special Characters History of HTML The lang Attribute Module 3: Paragraphs, Headings, and Text Paragraphs Heading Levels Breaks and Horizontal Rules Exercise: Paragraphs, Headings, and Text The div Tag Creating an HTML Page Quoted Text Preformatted Text Inline Semantic Elements Exercise: Adding Inline Elements Module 4: HTML Links Links Introduction Text Links Absolute vs. Relative Paths Targeting New Tabs Email Links Exercise: Adding Links Lorem Ipsum The title Attribute Linking to a Specific Location on the Page Targeting a Specific Location on the Page Module 5: HTML Images Inserting Images Image Links Adding Images to the Document Exercise: Adding Images to the Page Providing Alternative Images Module 6: HTML Lists Unordered Lists Ordered Lists Definition Lists Exercise: Creating Lists Module 7: Crash Course in CSS Benefits of Cascading Style Sheets CSS Rules Selectors Combinators Precedence of Selectors How Browsers Style Pages CSS Resets CSS Normalizers External Stylesheets, Embedded Stylesheets, and Inline Styles Exercise: Creating an External Stylesheet Exercise: Creating an Embedded Stylesheet Exercise: Adding Inline Styles div and span Exercise: Styling div and span Media Types Units of Measurement Inheritance Module 8: CSS Fonts font-family @font-face font-size font-style font-variant font-weight line-height font shorthand Exercise: Styling Fonts Module 9: Color and Opacity About Color and Opacity Color and Opacity Values Color Opacity Exercise: Adding Color and Opacity to Text Module 10: CSS Text letter-spacing text-align text-decoration text-indent text-shadow text-transform white-space word-break word-spacing Exercise: Text Properties Module 11: JavaScript Basics JavaScript vs. EcmaScript The HTML DOM JavaScript Syntax Accessing Elements Where Is JavaScript Code Written? JavaScript Objects, Methods, and Properties Exercise: Alerts, Writing, and Changing Background Color Module 12: Variables, Arrays, and Operators JavaScript Variables A Loosely Typed Language Google Chrome DevTools Storing User-Entered Data Exercise: Using Variables Constants Arrays Exercise: Working with Arrays Associative Arrays Playing with Array Methods JavaScript Operators The Modulus Operator Playing with Operators The Default Operator Exercise: Working with Operators Module 13: JavaScript Functions Global Objects and Functions Exercise: Working with Global Functions User-defined Functions Exercise: Writing a JavaScript Function Returning Values from Functions Module 14: Built-In JavaScript Objects Strings Math Date Helper Functions Exercise: Returning the Day of the Week as a String Module 15: Conditionals and Loops Conditionals Short-circuiting Switch / Case Ternary Operator Truthy and Falsy Exercise: Conditional Processing Loops while and do?while Loops for Loops break and continue Exercise: Working with Loops Array: forEach() Module 16: Event Handlers and Listeners On-event Handlers Exercise: Using On-event Handlers The addEventListener() Method Anonymous Functions Capturing Key Events Exercise: Adding Event Listeners Benefits of Event Listeners Timers Typing Test Module 17: The HTML Document Object Model CSS Selectors The innerHTML Property Nodes, NodeLists, and HTMLCollections Accessing Element Nodes Exercise: Accessing Elements Dot Notation and Square Bracket Notation Accessing Elements Hierarchically Exercise: Working with Hierarchical Elements Accessing Attributes Creating New Nodes Focusing on a Field Shopping List Application Exercise: Logging Exercise: Adding EventListeners Exercise: Adding Items to the List Exercise: Dynamically Adding Remove Buttons to the List Items Exercise: Removing List Items Exercise: Preventing Duplicates and Zero-length Product Names Manipulating Tables Module 18: HTML Forms How HTML Forms Work The form Element Form Elements Buttons Exercise: Creating a Registration Form Checkboxes Radio Buttons Exercise: Adding Checkboxes and Radio Buttons Fieldsets Select Menus Textareas Exercise: Adding a Select Menu and a Textarea HTML Forms and CSS Module 19: JavaScript Form Validation Server-side Form Validation HTML Form Validation Accessing Form Data Form Validation with JavaScript Exercise: Checking the Validity of the Email and URL Fields Checking Validity on Input and Submit Events Adding Error Messages Validating Textareas Validating Checkboxes Validating Radio Buttons Validating Select Menus Exercise: Validating the Ice Cream Order Form Giving the User a Chance Module 20: Regular Expressions Getting Started Regular Expression Syntax Backreferences Form Validation with Regular Expressions Cleaning Up Form Entries Exercise: Cleaning Up Form Entries A Slightly More Complex Example
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About Course Learn how to use Linux to boost your programming productivity and become a more efficient developer. In this comprehensive course, you will learn: The best Linux terminals to use for programming How to use clipboard managers to save time and effort How to use Vim, the most powerful text editor for programmers How to use Zsh and the oh-my-zsh framework to customize your terminal experience Extensive lessons on terminal commands, including how to find and replace text, work with pipes and subshells, and automate tasks And much more! You will also receive access to a repository of scripts and an eBook containing all of the examples and explanations from the course. This course is perfect for programmers who are new to Linux or who want to learn how to use Linux more effectively. Enroll today and start your journey to becoming a more productive programmer with Linux! Here are some of the benefits of learning how to use Linux for programming: Linux is a powerful and flexible operating system that can be customized to meet your specific needs. Linux is also very efficient, which can make a big difference in your productivity, especially when working with large projects. Linux has a wide range of built-in tools and utilities that are designed for programmers, such as the Bash shell, Vim, and Git. Linux is also open source, which means that there is a large community of developers who are constantly contributing to and improving the platform. If you are serious about becoming a more productive programmer, then learning how to use Linux is an essential skill. This course will teach you everything you need to know to get started. Enroll today and start boosting your productivity! What Will You Learn? I'll increase my terminal productivity by using Terminator, Guake and other tools I'll be able to use regular expressions, pipes and subshells and external shell scripting libraries I'll work with files like a vim-fu master I'll increase my command line productivity (by learning how to use sed, find, tmux, network, autoenv and more) I'll be able to launch a webserver, modify images and productively work with Git I'll edit files without leaving the terminal, use the screen space efficiently and copy-paste like a pro All in all: I will double my terminal productivity Course Content Introduction Introduction Terminator- Hasta La Vista Terminal Guake - Not Quake! Clipit- Forget Everything, Paste from History Productive Shells: Reinvent The Way You Work Pre Chapter Vim Oh-my-zsh Your Terminal Never Felt This Good Before! Basic Regular Expressions Pipes and Subshells Your Shell's Salt and Pepper Shell Scripting for Fun and Profit Shell Scripting Libraries Vim Kung Fu Supercharging Vim Keyboard Kung Fu Plugin Steroids for Vim Vim Password Manager Extra- Fast Configuration Restore CLI: The Hidden Recipe Sed - One-Liner Productivity Treasure You Can Run, But You Can't Hide From 'Find' Tmux Virtual Consoles, Background Jobs and The Likes Network Who's Listening Autoenv Set a Lasting, Project-Based Habitat Don't rm The Trash Developers' Treasure On the Spot Webserver Shrinking Spells and Other Image Magic Go With the Git Flow Merge Git Conflicts With Ease From Localhost to Instant DNS JSON Jamming in The New Age No More Mister Nice Guy Closing Chapter Bonus Chapter Terminal Art Bonus Chapter Closing Chapter A course by Bogdan Vaida Experiential Trainer RequirementsYou need to have prior experience in the Linux command lineYou must have access to a Linux/Unix terminalBasic programming skills are recommended (but not required)Some basic shell scripting and web development knowledge make the course easier to understand Audience System administrators Developers who already know the basics of Linux and want to sharpen their skills People working in the Linux command line This course is not for people who are opening a terminal for the first time Audience System administrators Developers who already know the basics of Linux and want to sharpen their skills People working in the Linux command line This course is not for people who are opening a terminal for the first time
This course is for absolute beginners to programming. In this course, you'll learn the foundation of programming and build your skill to become a Rust programmer. We'll start by building the Rust programming foundation and then implement our learning in a simple Rust project. No previous programming experience required.
Learning Computer Programming has never been so easy! Do you want ot learn codes and create your own software? Get this course to learn about coding and become a Programmer. Learn the different coding languages and have a career in one of the most demanding jobs at this moment in time. A computer programmer creates the code for software applications and operating systems. After a software developer designs a computer program, the programmer writes code that converts that design into a set of instructions a computer can follow. He or she tests the program to look for errors and then rewrites it until it is error-free. The programmer continues to evaluate programs that are in use, making updates and adjustments as needed. This course teaches you all the roles and responsibilities you will take as a computer programmer and how to deal with each one of them. It will also teach you about coding which essential for any prospective computer programmer. Course Highlights Certified Computer Programming Skills Training is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Certified Computer Programming Skills Training into 33 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 1 day, 4 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Certified Computer Programming Skills Training Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Certified Computer Programming Skills Training is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Certified Computer Programming Skills Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Computer Programming at a Glance COMPUTER PROGRAMMING AT A GLANCE 01:00:00 UNDERSTANDING THE LANGUAGE OF THE COMPUTER 00:30:00 Choosing a Language 00:30:00 Basic Programming Language BASIC Programming Language 01:00:00 Getting Started with BASIC Programming Language 01:00:00 BASIC Overview of BASIC Components 01:00:00 BASIC Special Variables 01:00:00 BASIC Probability Functions 01:00:00 Filtering the Data Set or Splitting the Data Set 01:00:00 DATA Blocks 01:00:00 DELETE Statement 01:00:00 FOR...NEXT Statement 01:00:00 IF. . . THEN Statement 01:00:00 PHP Programming Welcome to the world of programming! FREE 00:30:00 Getting Started FREE 01:00:00 Let's Start Coding! 01:00:00 PHP Strings 01:00:00 PHP Variables 01:00:00 Useful Variables 00:30:00 PHP Includes & Problem Solving 01:00:00 Tip When Creating Inc Pages 00:30:00 Redirecting Using PHP 00:30:00 Multiple Conditions 01:00:00 PHP Arrays 01:00:00 PHP Loops 01:00:00 Note on PHP Math Functions: 00:30:00 Functions 01:00:00 PHP Sessions 00:30:00 Cookies 01:00:00 Introduction to MySQL 01:00:00 Making The Connection 01:00:00 Inserting Data 01:00:00 Deleting / Removing Data 00:15:00