844 Web Development courses in Staines-upon-Thames delivered Online

Duration 4 Days 24 CPD hours This course is intended for This course is appropriate for anyone who wants to create applications or modules to automate and simplify common tasks with Perl. Overview Working within in an engaging, hands-on learning environment, guided by our expert web development, PHP practitioner, students will learn to: Create a working script that gets input from the command line, the keyboard, or a file Use arrays to store and process data from files Create formatted reports Use regular expressions Use the appropriate types of variables and data structures Refactor duplicate code into subroutines and modules What is available in the standard library Use shortcuts and defaults, and what they replace Introduction to Perl Programming Essentials is an Introductory-level practical, hands-on Perl scripting training course that guides the students from the basics of writing and running Perl scripts to using more advanced features such as file operations, report writing, the use of regular expressions, working with binary data files, and using the extensive functionality of the standard Perl library. Students will immediately be able to use Perl to complete tasks in the real world. Session: An Overview of Perl What is Perl? Perl is compiled and interpreted Perl Advantages and Disadvantages Downloading and Installing Perl Which version of Perl Getting Help Session: Creating and running Perl Programs Structure of a Perl program Running a Perl script Checking syntax and warnings Execution of scripts under Unix and Windows Session: Basic Data and I/O Numeric and Text literals Math operators and expressions Scalar variables Default values Writing to standard output Command line arguments Reading from the standard input Session: Logic and Loops About flow control The if statement and Boolean values Using unless and elsif Statement modifiers warn() and die() The conditional construct Using while loop and its variants Using the for loop Exiting from loops Session: Lists and Arrays The list data type Accessing array elements Creating arrays List interpolation Arrays and memory Counting elements Iterating through an array List evaluation Slices and ranges Session: Reading and writing text files File I/O Overview Opening a file Reading text files Writing to a text file Arrays and file I/O Using the <> operator Session: List functions Growing and shrinking arrays The split() function Splitting on whitespace Assigning to literal lists The join() function The sort() function Alternate sort keys Reversing an array Session: Formatting output Using sprintf() and printf() Report formatting overview Defining report formats The write() function Advanced filehandle magic Session: Hashes Hash overview Creating hashes Hash attributes Traversing a hash Testing for existence of elements Deleting hash elements Session: References What is a reference? The two ways to create references References to existing data References to anonymous data Dereferencing scalar, array, and ash references Dereferencing elements of arrays and hashes Multidimensional arrays and other data structures Session: Text and Regular Expressions String length The substr() function The index() and rindex() functions String replication Pattern matching and substitution Regular expressions Session: Raw file and data access Opening and closing raw (binary) files Reading raw data Using seek() and tell() Writing raw data Raw data manipulation with pack() and unpack() Session: Subroutines and variable scope Understanding packages Package and Lexical variables Localizing builtin variables Declaring and calling subroutines Calling subroutines Passing parameters and returning values Session: Working with the operating system Determining current OS Environment variables Running external programs User identification Trapping signals File test operators Working with files Time of day Session: Shortcuts and defaults Understanding $_ shift() with no array specified Text file processing Using grep() and Using map() Command-line options for file processing Session: Data wrangling Quoting in Perl Evaluating arrays Understanding qw( ) Getting more out of the <> operator Read ranges of lines Using m//g in scalar context The /o modifier Working with embedded newlines Making REs more readable Perl data conversion Session: Using the Perl Library The Perl library Old-style library files Perl modules Modules bundled with Perl A selection of modules Getting modules from ActiveState Getting modules from CPAN Using Getopt::Long Session: Some Useful Tools Sending and receiving files with Net::FTP Using File::Find to search for files and directories Grabbing a Web page Some good places to find scripts Perl man pages for more information Zipping and unzipping files

Are you familiar with JavaScript and programming, perhaps considering a coding interview soon, but looking to train, sharpen, and master your JavaScript skills? Are you looking to improve your data structures and algorithms with an anthology of some of the most important practice examples and a journey that can smoothly get you there? Then this course is specifically designed for you!

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.

Learn about the jQuery library from scratch and stretch your journey from a beginner-level to advanced-level professional with a step-by-step and comprehensive course. A basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course.

The comprehensive NodeJS made easy for MEAN or MERN Stack Level 4 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the NodeJS made easy for MEAN or MERN Stack Level 4 today, and learn from the very best the industry has to offer! This best selling NodeJS made easy for MEAN or MERN Stack Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth NodeJS made easy for MEAN or MERN Stack Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The NodeJS made easy for MEAN or MERN Stack Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The NodeJS made easy for MEAN or MERN Stack Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the NodeJS made easy for MEAN or MERN Stack Level 4 , you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the NodeJS made easy for MEAN or MERN Stack Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the NodeJS made easy for MEAN or MERN Stack Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis 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

A survey in the Uk shows that the total number of skills required for a single job has increased by 10% year-over-year since 2017. Furthermore, one in three skills in an average 2017 job posting are already obsolete. Due to ongoing business disruption and rapidly evolving needs, emerging skills gaps have accelerated due to the COVID-19 pandemic. And to help you bridge that gap, Course Cloud has prepared this comprehensive HTML: Installation & Editing HTML online course. HTML: Installation & Editing HTML covers a collection of necessary skills required to help you achieve your goals. In addition, our industry professionals will guide you through the process of establishing a solid foundation in HTML: Installation & Editing HTML.  The HTML: Installation & Editing HTML course is broken down into manageable sections, each of which will provide you with a new level of expertise. Our exclusive training in HTML: Installation & Editing HTML will equip you with the skills required to set yourself up for career success. The HTML: Installation & Editing HTML provides internationally accepted certification upon successful completion. This certificate will add value to your resume and let you stand out among your peers. So enrol now and work your way towards becoming a highly sought-after professional at HTML: Installation & Editing HTML.

This course delves into the rudiments of unit testing, including the red-green-refactor cycle, and provides in-depth knowledge on testing and implementing business logic in a .NET Core application, Develop the ability to design, write, and execute unit tests using xUnit and Moq for robust and scalable .NET Core applications.

Prepare for the AWS Certified Solutions Architect - Associate (SAA-C03) exam. Learn about the AWS Management Console, S3 buckets, instances, database services, cloud security, costs associated with AWS, Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).