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Delve into the intricate world of 'Data Structure' with our comprehensive course, meticulously crafted for those who have a penchant for understanding the skeleton of software engineering. Data structures form the backbone of algorithmic efficiency, and mastering them is akin to holding the master key to software optimisation. Our course is a confluence of foundational knowledge and complex data structuring, ensuring that you emerge not only informed but also invigorated, ready to tackle any computational challenge thrown your way. Learning Outcomes Gain foundational understanding of different data structures and their implementations. Discover the intricate details of arrays, linked lists, stacks, and queues. Develop the ability to effectively utilise advanced structures like AVL trees and Fenwick trees. Master techniques for optimising algorithmic efficiency using suitable data structures. Enhance problem-solving skills related to data storage and retrieval. Why choose this Data Structure course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Diploma in Data Structure at QLS Level 5 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Data Structure course for? Individuals keen on deepening their computer science foundations. Software developers aiming to optimise their code. Students pursuing computer science and related disciplines. Competitive coders desiring an edge in algorithm competitions. Tech enthusiasts eager to understand the underpinnings of efficient programming. Career path Software Developer: £25,000 - £45,000 Algorithm Engineer: £40,000 - £60,000 Data Scientist: £35,000 - £55,000 Backend Developer: £28,000 - £50,000 Systems Architect: £45,000 - £70,000 Data Engineer: £30,000 - £55,000 Prerequisites This Diploma in Data Structure at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Diploma in Data Structure at QLS Level 5 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £115 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Unit 01: Introduction Module 01: Promo Video 00:02:00 Module 02: Data Structure Introduction 00:05:00 Module 03: Computational Complexity Analysis 00:13:00 Unit 02: Arrays Module 01: Static and Dynamic Arrays 00:12:00 Module 02: Dynamic Arrays Source Code 00:07:00 Unit 03: Linked List Module 01: Singly and Doubly Linked Lists 00:15:00 Module 02: Doubly Linked Lists Source Code 00:10:00 Unit 04: Stack Module 01: Stack 00:12:00 Module 02: Stack Implementation 00:04:00 Module 03: Stack Source Code 00:04:00 Unit 05: Queues Module 01: Queues (Part-1) 00:06:00 Module 02: Queues (Part-2) 00:06:00 Module 03: Queue Source Code 00:04:00 Unit 06: Priority Queues (PQs) Module 01: Priority Queues (PQs) with an interlude on heaps 00:13:00 Module 02: Turning Min PQ into Max PQ 00:06:00 Module 03: Adding Elements to Binary Heap 00:10:00 Module 04: Removing Elements from Binary Heap 00:14:00 Module 05: Priority Queue Binary Heap Source Code 00:16:00 Unit 07: Union Find Module 01: Disjoint Set 00:06:00 Module 02: Kruskal's Algorithm 00:06:00 Module 03: Union and Find Operations 00:11:00 Module 04: Path Compression Union Find 00:07:00 Module 05: Union Find Source Code 00:08:00 Unit 08: Binary Search Trees Module 01: Binary Trees and Binary Search Trees (BST) 00:13:00 Module 02: Inserting Element into a Binary Search Tree (BST) 00:06:00 Module 03: Removing Element from a Binary Search Tree (BST) 00:14:00 Module 04: Tree Traversals 00:12:00 Module 05: Binary Search Source Code 00:13:00 Unit 09: Fenwick Tree Module 01: Fenwick Tree Construction 00:06:00 Module 02: Point Updates 00:05:00 Module 03: Binary Indexed Tree 00:14:00 Module 04: Fenwick Tree Source Code 00:06:00 Unit 10: Hash Tables Module 01: Hash Table 00:17:00 Module 02: Separate Chaining 00:08:00 Module 03: Separate Chaining Source Code 00:12:00 Module 04: Open Addressing 00:11:00 Module 05: Linear Probing 00:14:00 Module 06: Quadratic Probing 00:09:00 Module 07: Double Hashing 00:15:00 Module 08: Removing Element Open Addressing 00:08:00 Module 09: Open Addressing Code 00:15:00 Unit 11: Suffix Array Module 01: Introduction 00:03:00 Module 02: The Longest Common Prefix (LCP) Array 00:03:00 Module 03: Using SA/LCP Array to Find Unique Substrings 00:05:00 Module 04: Longest Common Substring (LCS) 00:11:00 Module 05: Longest Common Substring (LCS) Full Example 00:07:00 Module 06: Longest Repeated Substring (LRS) 00:05:00 Unit 12: AVL Trees Module 01: Balanced Binary Search Trees (BBSTs) 00:09:00 Module 02: Inserting Elements into an AVL Tree 00:10:00 Module 03: Removing an AVL Tree 00:09:00 Module 04: AVL Tree Source Code 00:17:00 Unit 13: Indexed Priority Queue Module 01: Indexed Priority Queue (Part-1) 00:25:00 Module 02: Indexed Priority Queue Source Code 00:09:00 Unit 14: Sparse Tables Module 01: Sparse Table 00:26:00 Module 02: Sparse Table Source Code 00:07:00 Assignment Assignment - Diploma in Data Structure at QLS Level 5 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

Description Learn the process of complete App development knowing the use of GraphQL, Prisma, Node, and React through the App Development Complete Diploma (GraphQL Prisma Node & React) course. Its contents aim to teach you the core aspects of app development so that you can establish your career learning all good of this course must. The course teaches you the functions of GraphQL, a query language for API so that you can learn how to build GraphQL server with Prisma, create a frontend CRUD App with React and Apollo Client, and upload files in GraphQL, Prisma, and React application. The App Development Complete Diploma (GraphQL Prisma Node & React) course will also teach you how to execute error handling in Prisma and React, develop your performance in React application, open Prisma and React application to Heroku, set page number in Prisma and React Appolo application, and accomplish web mark in GraphQL and Prisma. It will also teach how to execute, create, delete, and update data through CURD in Prisma and so many other effective features of app development. Look and learn its effective contents to become better app developer. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? App Development Complete Diploma (GraphQL Prisma Node & React) is certified by CPD Qualifications Standards and CiQ. 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 background. Requirements Our App Development Complete Diploma (GraphQL Prisma Node & React) 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 After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Big Picture of Prisma Prisma generates GraphQL API for your datamodel FREE 00:03:00 Connect your resolvers to Prisma API 00:03:00 What is Prisma Query Engine 00:01:00 What is DataModeling in Prisma 00:02:00 What databases are supported by Prisma 00:01:00 What is Prisma Cloud 00:02:00 VS Code Setup FREE 00:03:00 Setting up Prisma 00:11:00 Build GraphQL server with Prisma Update Prisma Data Model 00:12:00 Setup GraphQL server with Prisma 00:13:00 Setup env variables for Primisa endpoint 00:04:00 CRUD in Prisma Create Data Model in Prisma 00:04:00 Fetch Records from Database 00:10:00 Create, Update and Delete Record in Prisma 00:15:00 Create Frontend CRUD App with React and Apollo Client Create Apollo client in React Application 00:07:00 Connect Apollo Client to React 00:05:00 Fetch Data using Apollo Query Component 00:12:00 Understanding render Prop pattern in React 00:09:00 Creating Forms in React 00:10:00 Send GraphQL Mutation from React Component 00:10:00 Updating Apollo Cache After Mutation 00:10:00 Adding Routing with React Router 00:09:00 Render List items to Bootstrap card component 00:01:00 Query for Single Record 00:12:00 Edit Record using update Mutation 00:10:00 Mutation for Delete Record in React Apollo 00:08:00 Authentication in Prisma and GraphQL Restructure the resolver functions into separate folder 00:04:00 Signup User in Prisma and GraphQL 00:12:00 Login User in Prisma and GraphQL 00:07:00 Apply Authentication on Resolvers 00:09:00 Authentication in React Apollo Client Application Send Login Request from Frontend App 00:12:00 Save Token to LocalStorage after LoggedIn 00:03:00 Implement Logout User 00:08:00 Require Authentication on Edit and Delete 00:03:00 Implement Signup User on Frontend 00:12:00 Protect Routes in React using React Router 00:09:00 Add Authorization header to every request in React Apollo Client 00:13:00 Error Handling Create Error Message Component to render Errors 00:07:00 Adding Spinner for Loading Data 00:05:00 Pagination in Prisma and React Apollo Application Paginate List fo records of Prisma 00:06:00 Count all Records using Prisma Connection Query 00:15:00 Create Pagination Controls in Frontend Application 00:06:00 Implement Pagination in React Application 00:12:00 Filtering Records in Prisma 00:04:00 Create Search Course Component 00:05:00 Execute Search Query and display courses 00:10:00 Apply Sorting on the Records 00:07:00 Update Cache after creating records 00:03:00 Fix Cache after Delete Records 00:03:00 Optimistic UI In React Apollo Application Improve UI Performance using Optimistic UI in React Apollo 00:06:00 GraphQL Subscription Project Setup Deploy Prisma and React Application to Heroku Deploy Prisma Project to Heroku 00:13:00 Deploy React Project to Heroku 00:14:00 Subscriptions in Prisma and React Apollo Application GraphQL Subscription Project Setup 00:06:00 Prisma Subscription Demo 00:07:00 Creating Subscription in Prisma GraphQL Server 00:05:00 Subscription in React using Apollo Client 00:13:00 State Management in React Application using Apollo Link Setup Apollo Link State 00:05:00 Fetch Records from Apollo State using Query 00:06:00 Create Task Form Component 00:05:00 Save new Record in Apollo Link State 00:11:00 Update Cache using Fragments 00:11:00 Filter Tasks on the based on Status Value 00:16:00 File Upload in Prisma and React Setup Local Development Server with Prisma and Docker 00:09:00 File Upload Demo with Prisma and React 00:14:00 Bonus: React Fundamentals Create React App using create-react-app cli 00:02:00 Creating React Element 00:05:00 Creating Nested React Elements 00:08:00 How React uses React Elements to Create Virtual DOM 00:01:00 What is DOM 00:03:00 What is Virtual DOM 00:05:00 What are Components in React 00:04:00 Create Component in React 00:06:00 Adding Props Validations 00:03:00 Create Nested Components in React 00:05:00 Create State in React Component 00:08:00 Update Component State using Events 00:08:00 Iterate Array and render Components 00:05:00 Pass Function Parent to Child Component 00:09:00 Convert React Components to JSX 00:09:00 State in React Component 00:05:00 Shallow Merging with setState 00:06:00 Use Props PropTypes and default Props in React Component 00:06:00 Create Stateless Component in React 00:04:00 Communicate with Parent and Child Component 00:07:00 What are LifeCycle Methods in React Component 00:01:00 Types and Phases of LifeCycle Methods 00:04:00 LifeCycle Mounting Methods in Action 00:09:00 LifeCycle Updating Methods in Action 00:07:00 Handling Errors with componentDidCatch 00:08:00 Bonus: GraphQL Basics What is GraphQL 00:04:00 What is GraphQL Query 00:03:00 Arguments in GraphQL Query 00:01:00 Required Arguments in Query 00:02:00 GraphQL Schema and Types 00:04:00 Aliasis in GraphQL 00:02:00 Nested Fields 00:02:00 Operations in GraphQL 00:02:00 Variables in GraphQL 00:04:00 Create Mutations 00:03:00 Directives in GraphQL 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 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Learn how good communication works, and how your style relates to this. Includes Rules of Communication, Your Communication Style, Your Self Image, Clarifying Objectives, Reviewing Your Assumptions.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Internet of Things (IoT) Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Internet of Things (IoT) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Internet of Things (IoT) Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Internet of Things (IoT) Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Internet of Things (IoT)? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Internet of Things (IoT) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Internet of Things (IoT) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Internet of Things (IoT) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Internet of Things (IoT) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Internet of Things (IoT) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Agenda Module 01: Introduction 00:02:00 Module 02: Course Agenda 00:03:00 Unit 01: Introduction Module 01: Introduction to Internet of Things 00:13:00 Module 02: Choosing Cloud Services for IoT 00:05:00 Module 03: What is Raspberry Pi Part 1? 00:09:00 Module 04: What is Raspberry Pi Part 2? 00:06:00 Unit 02: Raspberry Pi Installation Module 01: Downloading OS for Raspberry Pi Noobs-Raspbian 00:07:00 Module 02: Install OS using NOOBS 00:11:00 Module 03: Remote Control of Raspberry Pi Using VNC Viewer 00:10:00 Module 04: Install OS using Raspbian Image part 1 00:06:00 Module 05: Install OS using Raspbian Image part 2 00:02:00 Unit 03: Getting Around Raspberry Pi Module 01: Getting Around Raspbian Operating System part 1 00:10:00 Module 02: Getting around Raspbian Operating System part 2 00:08:00 Module 03: Getting around Raspbian Operating System part 3 00:06:00 Module 04: How To Run Python program On Raspberry Pi 00:09:00 Unit 04: Raspberry Pi GPIO Output Module 01: Raspberry PI GPIO Concepts 00:07:00 Module 02: Raspberry Pi GPIO Interfacing Single LED 00:17:00 Module 03: Raspberry Pi GPIO Interfacing Multiple LED's 00:09:00 Module 04: Rapberry Pi GPIO Interfacing Buzzer 00:03:00 Unit 05: Output from Raspberry Pi Module 01: Raspberry Pi and Transistorized Switching 00:09:00 Module 02: Raspberry Pi and Relay part 1 00:13:00 Module 03: Raspberry Pi and Relay part 2 00:08:00 Unit 06: Inputs to Raspberry Pi Module 01: Accepting Digital Input on Raspberry Pi Part 1 00:13:00 Module 02: Accepting Digital Inputs on Raspberry Pi Part 2 00:07:00 Unit 07: Sensor Interfacing Module 01: Sensor Interfacing With Raspberry Pi LDR1 00:05:00 Module 02: Sensor Interfacing With Raspberry Pi LDR 2 00:10:00 Module 03: Sensor Interfacing With Raspberry Pi LDR 3 00:07:00 Module 04: Sensor Interfacing with Rapberry Pi DHTT11 part 1 00:10:00 Module 05: Sensor Interfacing with Rapberry Pi DHTT11 part 2 00:10:00 Module 06: Sensor Interfacing with Raspberry pi Using SenseHAT 00:11:00 Module 07: Ultrasonic Sensor Interfacing with Raspberry Pi 00:14:00 Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi Module 01: BMP180 with Raspberry Pi 00:07:00 Module 02: Enabling I2C on Raspberry Pi 00:05:00 Module 03: BMP180 Python Code 00:06:00 Unit 09: Internet of Things with Microsoft Azure Module 01: Getting Started With IoT 00:11:00 Module 02: Getting Started with Microsoft Azure IoT Hub Part 1 00:04:00 Module 03: Getting Started with Microsoft Azure IoT Hub Part 2 00:05:00 Module 04: Getting Started with Microsoft Azure IoT Hub Part 3 00:09:00 Module 05: Create Device inside Azure IoT Hub 00:06:00 Module 06: Enable Azure Cloud Shell and enable IoT Extension 00:08:00 Module 07: Send Data to Azure IoT Hub Using Python Program 00:09:00 Module 08: Send Actual Temperature and Humidity Values to Azure IoT hub 00:03:00 Module 09: Storing the Data on Microsoft Azure Using Custom Gateway 00:13:00 Module 10: Save data to blob storage using Stream Analytics Job 00:12:00 Module 11: Data Visualization with Power BI Part 1 00:07:00 Module 12: Data Visualization with Power BI Part 2 00:12:00 Module 13: Creating Custom web app with azure for data visualization Part 1 00:10:00 Module 14: Creating Custom web app with azure for data visualization Part 2 00:14:00 Module 15: Creating Custom web app with azure for data visualization Part 3 00:12:00 Module 16: Dealing with password error while pushing your webapp to azure 00:01:00 Module 17: Cleaning up Azure Resources 00:02:00 Module 18: Remote Monitoring using Azure Logic App Part 1 00:12:00 Module 19: Remote Monitoring using Azure Logic App Part 2 00:10:00 Unit 10: IoT with Thingspeak Module 01: Introduction to Thingspeak 00:06:00 Module 02: Create an account and send data to Thingspeak 00:08:00 Unit 11: Learn a new platform, Adafruit IO Module 01: Getting started with SaaS IoT Platform io.adafruit.com 00:08:00 Module 02: What is MQTT? 00:10:00 Module 03: Sending Data to Adafruit Io Using MQTT Part 1 00:17:00 Module 04: Sending Data to Adafruit io Using MQTT part 2 00:14:00 Module 05: Home automation project with adafruit IO Part 1 00:15:00 Module 06: Home Automation Project with Adafruit IO Part 2 00:02:00 Unit 12: IOT Security Module 01: IoT Security 00:14:00 Module 02: Conclusion 00:01:00 Assignment Assignment - Internet of Things (IoT) 00:00:00

Learn the vital core skills of questioning and listening skills, and face-to-face communication. Includes Verbal Skills & Asking Questions, Open & Closed Questions, The Funnel, Active Listening, Face‐to‐Face Communication, Rules for Success

Learn how to deal with, and prevent, communication problems. Includes Identifying Problems, Opposition & Conflict, Difficult Messages, Assertiveness & Intimidation, Best Practices.

Learn telephone and written communication skills, as well as how to create an effective social media profile. Includes Better Telephone Communication, Overcoming Challenges on the Phone, Writing Structure & Quick Tips, Social Media Basics.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Healthy Fitness Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Healthy Fitness Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Healthy Fitness Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Healthy Fitness Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Healthy Fitness? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Healthy Fitness there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Healthy Fitness course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Healthy Fitness does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Healthy Fitness was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Healthy Fitness is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: 7 Day Work Program Day 01 -Leg Blast 00:10:00 Day 02 -Upper Body 00:11:00 Day 03 -Cardio Blast 00:10:00 Day 04 -Dynamic Upper Body 00:10:00 Day 05 -Dynamic Lower Body 00:12:00 Day 06 -Core 00:09:00 Day 07 -Stretching and Isometrics 00:16:00 Section 02: Bodybuilding Tips Science of Body building 00:04:00 Debunking Myths Of Lifting 00:04:00 The Most Important Thing In Training 00:04:00 Section 03: HIT Beginning High Intensity Training 00:04:00 Foundations of HIT 00:03:00 HIT Recovery 00:04:00 HIT Workout Day One 00:04:00 HIT Diet 00:04:00 HIT Workout Day Two 00:04:00 Section 04: Hypertrophy Not All Strength is Created Equal 00:06:00 Body Weight Training 00:04:00 Gym Based Training 00:07:00 A Simple Workout You Can Do Anywhere 00:07:00 Crossfit: is it for you? 00:05:00 Stretching: Why It's So Important 00:07:00 HIIT and TABATA Explained 00:05:00 How to Hire A Personal Trainer 00:10:00 Paleo Diet Explained 00:05:00 Creating Your Own Training Program 00:06:00 Section 05: Joint Health 101 Introduction 00:01:00 The Importance Of Joint Health 00:07:00 A Look At Common Joint Problems 00:07:00 Exercise Your Joints 00:08:00 Balance Your Diet 00:08:00 Watch Your Weight 00:06:00 Home Remedies For Easing Joint Pains 00:07:00 Best Supplements For Joint Health 00:10:00 Other Options To Treat Joint Pains 00:07:00 Conclusion 00:01:00 Section 06: Workout Clips Home Fitness Man 00:02:00 Workout Aid your Recovery 00:01:00 Workout Aim past your goal 00:01:00 Workout Air Your Dirty Laundry 00:01:00 Workout Avoid Tendinitis 00:01:00 Workout Back Flys 00:01:00 Workout Back to Comfort 00:01:00 Workout Be a Lightweight 00:01:00 Workout Be an Early Bird 00:01:00 Workout Be an Energizer Bunny 00:01:00 Workout Become a Better Runner 00:01:00 Workout Bike more Efficiently 00:01:00 Workout Bike Uphill Better 00:01:00 Workout Biking 00:01:00 Workout Break out the Cash 00:01:00 Workout Breathe as You Rise 00:01:00 Workout Build Your Back 00:01:00 Workout Catch Baseballs Better 00:01:00 Workout Catch the Spiral 00:01:00 Workout Chin-Ups 00:01:00 Workout Close Grip Bench 00:01:00 Workout Close Grip Lat Pull-Down 00:01:00 Workout Count Backwards from 100 00:01:00 Workout Create Constructive Sleep Habits 00:01:00 Workout Crumple and Crush 00:01:00 Workout Crunches 00:01:00 Workout Deadlift 00:01:00 Workout Dips 00:01:00 Workout Diversify for Ultimate Success 00:01:00 Workout Do it in Parts 00:01:00 Workout Elliptical 00:01:00 Workout Exercise Bike 00:01:00 Workout Incline Dumbbell Press 00:01:00 Workout Incline Reverse Flys 00:01:00 Workout Jump Rope 00:01:00 Workout Jumping Jacks 00:01:00 Workout Knee Push-Ups 00:01:00 Workout Leg Curls 00:01:00 Workout Leg Extensions 00:01:00 Workout Leg Press 00:01:00 Workout Leg Raises 00:01:00 Workout Lower Back Raises 00:01:00 Workout Lunges 00:01:00 Workout Military Press 00:01:00 Workout Oblique Crunches 00:01:00 Workout Oblique Sit-Ups 00:01:00 Workout Overhead Triceps Extension 00:01:00 Workout Preacher Curl 00:01:00 Workout Pull-Ups 00:01:00 Workout Push-Ups 00:01:00 Workout Runner 00:01:00 Workout Running Treadmill 00:01:00 Workout Seated Row 00:01:00 Workout Shoulder Press 00:01:00 Workout Side Dumbbell Raise 00:01:00 Workout Single Arm Curl 00:01:00 Workout Sit-ups 00:01:00 Workout Squats 00:01:00 Workout Triceps Kickback 00:01:00 Workout Upright Barbell Rows 00:01:00 Workout Walking 00:01:00 Workout Wide Grip Pull-Down 00:01:00 Assignment Assignment -Healthy Fitness 2 weeks, 1 day

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