144 Data Processing courses

Get ready to leave clunky forms behind and meet the elegance of PHP webforms—designed to make websites work smarter, not harder. This course delivers the essential know-how to create clean, functional, and dynamic webforms using PHP. Whether you’re new to PHP or dusting off old knowledge, it walks you through everything from basic form handling to more advanced form logic, session-based responses, and secure data processing—no fluff, just straight-to-the-point skills. You’ll explore how to manage user input, validate forms, and build responsive, interactive web experiences with ease. The course keeps things sharp and enjoyable—because learning to code shouldn’t feel like reading stereo instructions. Instead, you’ll gain the confidence to structure forms that actually do things. From login pages to feedback forms and everything in-between, PHP webforms have quietly powered the web for years—and after this course, you’ll know exactly how to make them shine. Ask ChatGPT Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Getting Started Introduction Course Curriculum How to Get Pre-Requisites Getting Started on Windows, Linux or Mac How to ask a Great Questions FAQ's Setting up Local Development Environment What is PHP Installing XAMPP for PHP, MySQL and Apache Choosing Code Editor Installing Code Editor (Sublime Text) Installing Code Editor (Visual Studio Code) Creating PHP Project on XAMPP Hello World Program Summary PHP Fundamentals Section Introduction Variables Echo and Print Data Types Numbers Boolean Arrays Multi-Dimensional Array Sorting Arrays Constants Comments Summary PHP Strings Section Introduction Strings String Formatting String Methods Coding Exercise Solution for Coding Exercise Summary PHP Operators Section Introduction Arithmetic operators Assignment operators Comparison operators Increment - decrement operators Logical operators Ternary operator Summary PHP Conditional Statements Section Introduction If statement If-else statement If-else if-else statement Switch-case statement Summary PHP Control Flow Statements Section Introduction Flow Chart While loop Do-while loop For loop Foreach loop Break Continue Coding Exercise Solution for Coding Exercise Summary PHP Functions Section Introduction Creating a Function Function with Arguments Default Argument Function return values Call-by-value Call-by-reference Summary PHP Superglobals Section Introduction $_SERVER $_REQUEST $_POST Method $_GET Method Summary PHP Advanced Section Introduction Form Handling Date and Time Include Require Cookies Sessions File Reading File Writing File Upload Summary PHP OOPs - [Object Oriented Programming] Section Introduction What is OOP Class and Objects Constructor Destructor Access Modifiers Inheritance Method overriding Abstract Class Interface Summary PHP - MySQL Database(CRUD) Section Introduction MySQL Basic PhpMyAdmin Creating Database and Table Database Connection PHP Form Create records PHP Form Reading records PHP Form Update Data PHP Form Delete records Summary PHP Real-World App Forms Section Introduction Registration Form MD5 Algorithm for Encrypting Sha Algorithm Login Form Dashboard Summary PHP Client-side Validations Section Introduction On Submit Validation Input Numeric Validation Login Form Validation Password Strength Check Validation Summary PHP Server-Side Validations Section Introduction Form Server-side all Data Validation Form Server-side Validation Summary PHP Error Handling Try-throw-catch Try-throw-catch-finally Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This PHP Webforms for Everyone course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This PHP Webforms for Everyone course is open to all, with no formal entry requirements. Career path Upon successful completion of the PHP Webforms for Everyone Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

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Duration 3 Days 18 CPD hours This course is intended for This course is targeted for Juniper Networks system engineers, partner sales engineers (including Champions), and services partners who are interested in learning network design introductory concepts. However, the course is also applicable to a general audience of Juniper customers with a desire to learn more about network design. Overview Provide an overview of network design needs and common business requirements.Describe key product groups related to campus, WAN, data center, and security architectures.Analyze and interpret common RFP requirements.Scope a network design by gathering data and working with key stakeholders.Describe ways of processing customer data and design requests.Identify boundaries and scope for the design proposal.List some considerations when creating a design proposal.Provide an overview of network security design principles and common vulnerabilities.List high-level design considerations and best practices for securing the network.List the components of the campus network design.Describe best practices and design considerations for the campus.Describe architectural design options for the campus.List the components of the WAN.Describe best practices and design considerations for the WAN.Describe design options for the WAN.List the components of the data center design.Describe best practices and design considerations for the data center.Describe architectural design options for the data center.Define business continuity and its importance in a network design.Describe high availability design considerations and best practices.Provide an overview of high availability offerings and solutions.Describe Class of Service design considerations.Provide an overview of environmental considerations in network design.List design considerations and best practices for managing the network.Provide an overview of Juniper Networks and third party options for network management.List design considerations and best practices for network automation.Provide an overview of automation tools.Explain the foundational topics that have been taught throughout the course.Create a network design proposal that satisfies customer requirements and business needs.Provide an overview of the steps involved in migrating a network.Describe best practices used in network migration.List the various campus network topographies.Describe sample design options for the campus. This three-day course is designed to cover best practices, theory, and design principles for overall network design and will serve as the prerequisite course for other design subject areas ƒ?? data center, security, and WAN. Course IntroductionNetwork Design Fundamentals A Need for Design Knowledge is King A Proposed Design Methodology A Reference Network Understanding Customer Requirements RFP Requirements Scoping the Design Project Analyzing the Data Lab: Understanding Customer Requirements Organizing the Data Processing the Data and Requests Understanding Boundaries and Scope Design Proposal Considerations Securing the Network Why Secure the Network? Security Design Considerations Creating the Design Campus The Campus Network: An Overview Best Practices and Considerations Architectural Design Options Lab: Creating the Design Campus Creating the Design Wide Area Network The WAN: An Overview Best Practices and Considerations WAN Design Examples Lab: Creating the Design WAN Creating the Design Data Center The Data Center: An Overview Best Practices and Considerations Data Center Design Examples Lab: Creating the Design Data Center Business Continuity & Network Enhancements Business Continuity Planning High Availability Design Considerations and Best Practices Offerings and Solutions CoS and Traffic Engineering Considerations Environmental Design Network Management Designing for Network Management Automation Designing for Network Automation Lab: Enhancing the Design Putting Network Design Into Practice Network Design Recap Responding to the RFP Final Lab Introduction Lab: Putting Network Design into Practice

Overview of Linux Shell Scripting Join our Linux Shell Scripting course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Linux Shell Scripting course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Linux Shell Scripting course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Linux Shell Scripting Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Linux Shell Scripting. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the Linux Shell Scripting course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Linux Shell Scripting is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education. Requirements You don’t need any educational qualification or experience to enrol in the Linux Shell Scripting course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Linux Shell Scripting Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

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.

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.

In this course, we'll learn about runtime semantics and build an interpreter for a programming language from scratch. In the process, we'll build and understand a full programming language semantics.

Apache NiFi, a robust, open-source data ingestion/distribution framework, is the core of Hortonworks DataFlow (HDF)

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.