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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.

Dip yourself in the dynamic world of Python programming with our Python for Beginners Online Course. Master Python's key concepts, its syntax, data types, and much more.

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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Duration: 1 Day Who would find this course useful? C++ coders. This course covers C++ programming principals and the syntax of all generally used C++ statements. Level: From beginners. For classroom courses: Bring your own device.

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.

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.

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.

In this course, you will learn how to write great automation tests with Selenium WebDriver and Java, and start building automation testing frameworks!

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