2315 Code courses in Glasgow delivered On Demand

This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.

According to an article on Forbes magazine, e-commerce sales are expected to surpass the trillion-dollar mark by 2020. As more people are embracing e-commerce, an increasing number of businesses have taken to selling their services and products online. If you're looking to sell your products online via an e-commerce store and want to learn how to create such a store, then this course is for you.

If you know various DevOps tools such as Git, Jenkins, Maven, Ansible, Docker, and Kubernetes, and are not sure how they work collaboratively, then this course is for you. Learn to create a simple DevOps project using Git as the local version control system, GitHub as the distributor version control system, Jenkins as the continuous integration tool, Maven as a build tool, Ansible as configuration management and deployment tool, Docker for containerization, Kubernetes as a container management tool, and all this environment is set up on AWS.

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Course Overview It is important that all children are given equal opportunities to reach their full potential, and it all starts with education, which is why the role of a Teaching assistant is so rewarding. Teaching Assistants help support the learning and development of children and young people, including those with special educational needs such as autism, ADHD and dyslexia. In this Complete Teaching Assistant Diploma, you will gain a wide range of skills and knowledge to provide quality learning support to children. Taking an in-depth look at the classroom environment and the role of the Teaching Assistant, it covers safeguarding duties, classroom management, the SEN code of practice and a variety of teaching methodologies. Not only that, but you will gain excellent time management, communication and organisation skills, which can be applied to any teaching role and learning environment. By the end of the course, you will also have an excellent understanding of the national curriculum and teaching codes of practice in the UK. Enrol in this Teaching Assistant Complete Course today and accelerate your career online! What You Will Learn This Complete Teaching Assistant Diploma is suitable for anyone looking for a pathway to a career in teaching support. It includes essential information on teaching practices and methodologies, as well as SEN learning support strategies for pupils with autism, dyslexia and ADHD. Understanding the Role of the Teaching Assistant Skills & Career Requirements for Teaching Support Roles The Development of Children and Young People Building Professional Relationships With Pupils & Family Safeguarding the Welfare of Children & Young People An Overview of Teaching Methodologies An Introduction to SEN Teaching An Overview of Learning Difficulties in Children Classroom Management Strategies for SEN Career Path, Salary and Opportunities Why You Should Choose This Course From iStudy Study at your own pace Full Tutor support on weekdays (Monday - Friday) Fully compatible with any device Free Printable PDF Certificate immediately after completion No prior qualifications are needed to take this course No hidden fees or exam charges CPD Qualification Standards and IAO accredited Efficient exam system, assessment, and instant results Our customer support team is always ready to help you Gain professional skills and better earning potential Enrol today and learn something new with iStudy. You'll find a full breakdown of the course curriculum down below, take a look and see just how much this course offers. We're sure you'll be satisfied with this course.

Learn and master HTML, CSS, Bootstrap, and SASS. Starts right from the basics and increases its level step by step by understanding various concepts, implementing them with different exercises, practicing with games, and building 6 real-world projects.

Step into the intriguing realm of private investigation with the Private Detective Advance Diploma, a CPD accredited course designed to elevate your knowledge and confidence. This course delves into advanced investigative techniques, legal frameworks, and ethical considerations, all presented in a clear, structured manner ideal for those keen to sharpen their expertise remotely. Whether you’re aiming to build a career in private detection or simply curious about the craft, this diploma offers a solid foundation without the need for physical attendance. With an emphasis on theory and analysis, this course explores surveillance methods, report writing, and evidence handling, all within legal boundaries. Delivered entirely online, it suits learners who appreciate flexibility alongside expert guidance. Expect engaging content crafted to keep your curiosity alive while sharpening your intellect — with a touch of dry wit to keep things from feeling too much like a detective novel, but without the trench coats or magnifying glasses. A clever way to add serious skills without ever leaving your favourite armchair. Still not convinced? Take a glimpse of the key benefits you'll get with - Lessons prepared in collaboration with Professionals User-friendly Learner Management System (LMS) Syllabus designed in line with the standards of the UK Education System Updated Study Materials focusing both on Knowledge and Skill based training Guidance to expand in 'a' territory and move forward with Private Detective profession Free Assessment to test learners' knowledge and skills Course Curriculum: Module 01: An Introduction to the Concept of Being a Private Detective Module 02: Private Investigation Process Module 03: Classification of Crime Module 04: Starting an Investigation Module 05: Crime Scene Investigation and Photography (Part 1) Module 06: Crime Scene Investigation and Photography (Part 2) Module 07: Evidence Collection Module 08: Locating Missing People Module 09: Interview and Interrogation Techniques Module 10: Methods of identification and Sources of information Module 11: Fingerprint Verification Module 12: Handwriting Examination Module 13: Linking and Surveillance of Suspect Module 14: Counter-Espionage & Counter-Surveillance Module 15: Domestic Investigation and Types Module 16: Basic Operations of Firearms Module 17: Preparing Case Report Module 18: Code of Ethics Module 19: Operating a Private Investigation Business Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing the Private Detective Advance Diploma - CPD Accredited course. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Private Detective Advance Diploma - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Private Detective Advance Diploma - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Private Detective Advance Diploma - CPD Accredited training.

Build a strong foundation in intermediate Android development to leverage what you already know about Android. If you are looking for a course that takes your pre-existing Android knowledge to the next level, then this is definitely the course for you. We'll take you through all you need to know in order to become an intermediate to advanced Android developer.

Overview This comprehensive course on Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, 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 Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Machine Learning with Python 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 4 sections • 21 lectures • 01:34:00 total length •Introduction to types of ML algorithm: 00:02:00 •SVM - Python Implementation: 00:06:00 •Introduction to types of ML algorithm: 00:02:00 •Importing a dataset in python: 00:02:00 •Resolving Missing Values: 00:06:00 •Managing Category Variables: 00:04:00 •Training and Testing Datasets: 00:07:00 •Normalizing Variables: 00:02:00 •Normalizing Variables - Python Code: 00:03:00 •Summary: 00:01:00 •Simple Linear Regression - How it works?: 00:04:00 •Simple Linear Regreesion - Python Implementation: 00:07:00 •Multiple Linear Regression - How it works?: 00:01:00 •Multiple Linear Regression - Python Implementation: 00:09:00 •Decision Trees - How it works?: 00:05:00 •Random Forest - How it works?: 00:03:00 •Decision Trees and Random Forest - Python Implementation: 00:04:00 •kNN - How it works?: 00:02:00 •kNN - Python Implementation: 00:10:00 •Decision Tree Classifier and Random Forest Classifier in Python: 00:10:00 •SVM - How it works?: 00:04:00

In this course, we'll learn how to visualize data with real weather data downloaded from the US National Weather Service using the R programming language and RStudio. We recommend that you have some background in HTML, CSS, and JavaScript. You don't need to be an expert by any means, but you should have experience building web pages with HTML and CSS, and you should have basic programming skills with JavaScript.