4115 Computing courses in Dunstable delivered On Demand

Dive into the intricate world of microcontrollers with our course on 'Differentiate Between Arduino, Raspberry PI, and PIC Microcontroller'. Discover the distinguishing features between these three powerhouse microcontrollers, ranging from their hardware specifications to their software capabilities. As technology continues to evolve, understanding the nuances of these platforms can pave the way for innovative projects. By the course's conclusion, you'll possess the knowledge to make informed choices tailored to your specific needs. Learning Outcomes Understand the core concepts and distinctions of Arduino, Raspberry PI, and PIC Microcontroller. Analyse the hardware specifics of each microcontroller, noting their advantages and limitations. Evaluate the software differences and their implications for various applications. Investigate the expandability and onward compatibility of each platform. Make informed decisions on selecting the appropriate microcontroller for individual projects. Why buy this Differentiate Between Arduino, Raspberry PI and PIC Microcontroller 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 Differentiate Between Arduino, Raspberry PI and PIC Microcontroller 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 Differentiate Between Arduino, Raspberry PI and PIC Microcontroller course for? Hobbyists looking to delve deeper into the world of microcontroller platforms. Engineers aiming to enhance their knowledge of modern microcontroller technologies. Students studying electronics and wanting to comprehend the microcontroller spectrum. DIY enthusiasts keen on honing their skills in the digital realm. Tech aficionados wanting to stay updated with current microcontroller trends. Prerequisites This Differentiate Between Arduino, Raspberry PI and PIC Microcontroller does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Differentiate Between Arduino, Raspberry PI and PIC Microcontroller 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 Microcontroller Specialist - Average Salary: £45,000 - £55,000 Embedded Systems Engineer - Average Salary: £40,000 - £50,000 Hardware Engineer - Average Salary: £48,000 - £60,000 Software Developer (Embedded Systems) - Average Salary: £42,000 - £54,000 Technical Consultant (Microcontrollers) - Average Salary: £52,000 - £64,000 IoT Developer - Average Salary: £46,000 - £58,000 Course Curriculum Introduction to the Course Introduction 00:04:00 What is Arduino Raspberry Pi and PIC Microcontroller 00:06:00 Quick summary Quick summary of the main differences 00:05:00 Detailed Comparison: Hardware Hardware Power and Connectivity 00:03:00 Hardware IO Pins Storage and USB 00:04:00 Detailed Comparison: Software Software Comaprison 00:05:00 Expanding Onward Capabilities Expanding Onward Capablities 00:03:00 Final Decision How to decide 00:06:00

Learn how to code in HTML from scratch. Perfect for beginners and anyone who wants to learn HTML

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 Bash Shell Scripting 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 the professional training employers seek in today's workplaces. The Bash Shell Scripting Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Bash Shell Scripting 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 Bash Shell Scripting Course, like every one of Skillwise'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 Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Bash Shell Scripting? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standards accredited qualifications after course completion Receive one-to-one assistance 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 Bash Shell Scripting 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Bash Shell Scripting 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 skills. Prerequisites This Bash Shell Scripting does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Bash Shell Scripting was made by professionals and it is compatible with all PCs, Macs, 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 a bonus, you will be able to pursue multiple occupations. This Bash Shell Scripting is a great way for you to gain multiple skills from the comfort of your home. Bash Shell Scripting Section 1: Introduction Unit 1: Introduction 00:02:00 Unit 2: Course Overview1 00:04:00 Section 2: Lab Setup Unit 1: Download and Install VirtualBox1 00:06:00 Unit 2: Creating First Virtual machine1 00:06:00 Unit 3: Linux Installation1 00:25:00 Unit 4: Linux CentOS8 Installation1 00:25:00 Section 3: Basic Shell Scripting Unit 1: What is Shell 00:03:00 Unit 2: Script File Permission 00:05:00 Unit 3: Shell Script Format 00:10:00 Unit 4: Shell Scripting 00:03:00 Unit 5: Basic Shell Scripts 00:13:00 Unit 6: Create Your First Script - Hello World 00:10:00 Unit 7: If Then Script 00:09:00 Unit 8: Do While Script 00:06:00 Unit 9: For Loop Script 00:08:00 Section 4: Advance Shell Scripting Unit 1: Data Access from a File 00:21:00 Unit 2: Remote Servers Connectivity Status 00:25:00 Unit 3: Script Scheduling and Notification 00:08:00 Unit 4: Script to Delete Old Files 00:11:00 Unit 5: For Loops Scripts for File System - 1 00:25:00 Unit 6: For Loops Scripts for File System - 2 00:10:00 Unit 7: Copy Files to Remote Hosts 00:05:00 Unit 8: User Directory Assignment 00:09:00 Unit 9: List of Users Logged in by Date 00:16:00 Unit 10: Case Statement 00:07:00 Assignment Assignment - Bash Shell Scripting

This course will provide you with practical experience in C++. You will learn the basics and advanced concepts of C++, such as data types, arrays, functions, encapsulation, inheritance, exception handling, object-oriented programming (OOP), and a lot more, by developing interesting real-world applications.

Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, 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? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00

Prepare for success with the Microsoft PL-900 Certification Course, covering the fundamentals of Power Platform, including Power BI, Power Apps, Power Automate, Power Virtual Agents, and related topics such as Dataverse, AI Builder, Connectors, Dynamics 365, Teams, Security, and Administration. Suitable for beginners with no prerequisites.

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

Overview This comprehensive course on Flappy Bird Clone: SFML C++ Game will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Flappy Bird Clone: SFML C++ Game 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 Flappy Bird Clone: SFML C++ Game. It is available to all students, of all academic backgrounds. Requirements Our Flappy Bird Clone: SFML C++ Game 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 8 sections • 34 lectures • 05:27:00 total length •Introduction: 00:02:00 •Setup Project - Windows (Visual Studio): 00:14:00 •Setup Project - Mac OS X (Xcode): 00:11:00 •State Machine: 00:18:00 •Asset Manager: 00:08:00 •Input Manager: 00:08:00 •Game Loop: 00:14:00 •Splash State: 00:17:00 •Main Menu State: 00:16:00 •Game State: 00:07:00 •Game Over State: 00:04:00 •Pipe Class Setup: 00:08:00 •Spawn Moving Pipes: 00:11:00 •Automatically Spawning Pipes and Deleting Them: 00:08:00 •Create Moving Ground: 00:14:00 •Randomise Pipe Y Position: 00:06:00 •Bird Class Setup: 00:10:00 •Animating the Bird: 00:08:00 •Fly Bird Fly: 00:11:00 •Rotate Bird: 00:06:00 •Collision with the Ground & Game State System: 00:15:00 •Collision with the Pipes: 00:09:00 •Flash Screen White upon Death: 00:12:00 •Scoring System: 00:15:00 •Displaying the Score: 00:18:00 •Setup: 00:16:00 •Display Score: 00:08:00 •Saving Score: 00:06:00 •Medals: 00:08:00 •Sound Effects: 00:08:00 •Hide Console on Windows: 00:01:00 •Distributing Your Game on Windows: 00:03:00 •Where to Go Next?: 00:07:00 •Resource: 00:00:00

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This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.