6975 Systems courses delivered Online

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction 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 Section 02: Relational Database Systems 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 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store 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 Section 05: Document-Oriented Databases 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 Section 06: Search Engines 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 Section 07: Wide Column Store 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 00:04:00 Section 08: Time Series Databases 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 Section 09: Graph Databases 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 Section 10: Hadoop Platform 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 Section 11: Big Data SQL Engines 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 Section 12: Distributed Commit Log 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 Section 13: Summary 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 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Project Manager's Immersion Program A Deep Dive into Project Management Skills for Serious Practitioners

Navigating the world of education brings challenges, and the realm of Special Education Needs (SEN) presents a unique set of opportunities. The UK has witnessed a rising demand for skilled specialists to understand and aid SEN students. This SEN Teaching Assistant Diploma is your key to unlocking those doors. Fused with a curriculum that intertwines foundational knowledge with nuanced techniques, it positions you at the heart of this burgeoning sector. Whether you're manoeuvring through communication intricacies, diving into SEN teaching methodologies, or building robust support systems, this SEN Teaching Assistant Diploma encapsulates it all. As more schools and institutions recognise the importance of tailored education for SEN students, your expertise will be a sought-after commodity. Dive in, and ride the wave of SEN education transformation in the UK. You Will Learn Following Things: Understand the foundation of Special Education Needs (SEN). Gain knowledge on providing comprehensive SEN support. Explore effective teaching practices for SEN pupils. Dive into the intricacies of communication and interaction. Grasp techniques for managing various SEN challenges. Develop collaborative approaches for inclusive education. This course covers the topics you must know to stand against the tough competition. The future is truly yours to seize with this SEN Teaching Assistant Online. 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 This course covers everything you must know to stand against the tough competition. The future is truly yours to seize with this SEN Teaching Assistant Online. Enrol today and complete the course to achieve a certificate that can change your career forever. Process of Evaluation After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the SEN Teaching Assistant Online course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This SEN Teaching Assistant Diploma is tailor-made for individuals passionate about making a difference in the lives of children with Special Education Needs (SEN). Whether you're an educator looking to enhance your skill set, a career changer aiming for a more rewarding path, or a current SEN assistant wishing to expand your knowledge base, this SEN Teaching Assistant Diploma offers a comprehensive understanding of SEN. Covering a broad spectrum from teaching methodologies to social and emotional facets, it ensures participants are well-equipped to cater to diverse needs. The curriculum's design ensures that students learn theoretically and understand practical applications, making them invaluable assets in educational settings. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the SEN Teaching Assistant Online 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 SEN Teaching Assistant - £18K to 25K/year. Inclusion Manager - £25K to £32K/year. Special Needs Coordinator - £28K to £35K/year. Learning Support Assistant - £16K to £22K/year. Behaviour Support Worker - £20K to £28K/year. Course Curriculum SEN Teaching Assistant Module 01: Special Education Needs (SEN) An Overview 00:08:00 Module 02: SEN Support 00:12:00 Module 03: High Quality Teaching for Pupils with SEN 00:09:00 Module 04: SEN Teaching Methodologies 00:20:00 Module 05: Communication and Interaction 00:16:00 Module 06: Cognition and Learning 00:20:00 Module 07: Social, Emotional and Mental Health Difficulties 00:11:00 Module 08: Sensory or Physical Needs 00:15:00 Module 09: Working in Partnership 00:09:00 Mock Exam Mock Exam - SEN Teaching Assistant 00:20:00 Final Exam Final Exam - SEN Teaching Assistant 00:20:00 Assignment Assignment - SEN Teaching Assistant 00:00:00

Duration 5 Days 30 CPD hours This course is intended for Students preparing to take the CCNP Collaboration certification Network administrators Network engineers Systems engineers Overview After taking this course, you should be able to: Describe the Cisco Collaboration solutions architecture Compare the IP Phone signaling protocols of Session Initiation Protocol (SIP), H323, Media Gateway Control Protocol (MGCP), and Skinny Client Control Protocol (SCCP) Integrate and troubleshoot Cisco Unified Communications Manager with LDAP for user synchronization and user authentication Implement Cisco Unified Communications Manager provisioning features Describe the different codecs and how they are used to transform analogue voice into digital streams Describe a dial plan, and explain call routing in Cisco Unified Communications Manager Implement Public Switched Telephone Network (PSTN) access using MGCP gateways Implement a Cisco gateway for PSTN access Configure calling privileges in Cisco Unified Communications Manager Implement toll fraud prevention Implement globalized call routing within a Cisco Unified Communications Manager cluster Implement and troubleshoot media resources in Cisco Unified Communications Manager Describe Cisco Instant Messaging and Presence, including call flows and protocols Describe and configure endpoints and commonly required features Configure and troubleshoot Cisco Unity Connection integration Configure and troubleshoot Cisco Unity Connection call handlers Describe how Mobile Remote Access (MRA) is used to allow endpoints to work from outside the company Analyze traffic patterns and quality issues in converged IP networks supporting voice, video, and data traffic Define QoS and its models Implement classification and marking Configure classification and marking options on Cisco Catalyst switches The Implementing and Operating Cisco Collaboration Core Technologies (CLCOR) v1.1 course helps you prepare for advanced-level roles focused on implementation and operation of Cisco collaboration solutions. You will gain the knowledge and skills needed to implement and deploy core collaboration and networking technologies, including infrastructure and design, protocols, codecs, and endpoints, Cisco Internetwork Operating System (IOS©) XE gateway and media resources, call control, Quality of Service (QoS), and additional Cisco collaboration applications.This course helps prepare you to take the exam:350-801 Implementing and Operating Cisco Collaboration Core Technologies (CLCOR)After you pass this exam, you earn Cisco Certified Specialist - Collaboration Core certification and satisfy the core requirement for these certifications:CCNP CollaborationCCIE CollaborationThis course prepares you for the 300-435 Automating Cisco Enterprise Solutions (ENAUTO) certification exam. Introducing Automation for Cisco Solutions (CSAU) is required prior to enrolling in Implementing Automation for Cisco Enterprise Solutions (ENAUI) because it provides crucial foundational knowledge essential to success. Course Outlines Describing the Cisco Collaboration Solutions Architecture Exploring Call Signaling over IP Networks Integrating Cisco Unified Communications Manager LDAP Implementing Cisco Unified Communications Manager Provisioning Features Exploring Codecs Describing Dial Plans and Endpoint Addressing Implementing MGCP Gateways Implementing Voice Gateways Configuring Calling Privileges in Cisco Unified Communications Manager Implementing Toll Fraud Prevention Implementing Globalized Call Routing Implementing and Troubleshooting Media Resources in Cisco Unified Communications Manager Describing Cisco Instant Messaging and Presence Enabling Cisco Jabber© Configuring Cisco Unity Connection Integration Configuring Cisco Unity Connection Call Handlers Describing Collaboration Edge Architecture Analyzing Quality Issues in Converged Networks Defining QoS and QoS Models Implementing Classification and Marking Configuring Classification and Marking on Cisco Catalyst Switches

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

Embark on a captivating journey into the realm of Python 3 Programming with our comprehensive course. From unraveling the mysteries of mathematical operators to mastering advanced topics like threading and socket terminology, this course is your gateway to the dynamic world of coding. Engage with hands-on sessions, explore the power of Python libraries, and conquer the art of class implementation. Your digital odyssey begins with the basics and evolves into a sophisticated understanding of programming essentials. Our creatively crafted curriculum promises an exhilarating learning experience, making coding accessible to enthusiasts and novices alike. Learning Outcomes Master the fundamentals of Python 3, from basic math operations to complex string manipulations. Develop practical skills in working with lists, dictionaries, and advanced string manipulation techniques. Gain proficiency in file handling, regex, and navigating systems using the OS library. Understand the principles of classes, inheritance, and the manipulation of date and time. Explore advanced topics such as performing HTTP requests, socket programming, and sending emails using SMTPlib. Why choose this Python 3 Programming course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python 3 Programming course for? Individuals eager to start their coding journey without prior programming experience. Students seeking a comprehensive understanding of Python 3 programming. Professionals looking to enhance their skills and stay relevant in the evolving tech landscape. Coding enthusiasts excited to explore the vast possibilities Python 3 offers. Anyone desiring a hands-on and engaging learning experience in programming. Career path Python Developer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Software Engineer: £40,000 - £65,000 Machine Learning Engineer: £45,000 - £70,000 Web Developer: £32,000 - £50,000 Network Programmer: £38,000 - £60,000 Prerequisites This Python 3 Programming does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python 3 Programming 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. Course Curriculum Section 01 Welcome to Python 3 course! 00:03:00 Why you should learn Python 3 00:04:00 Installing Python 3 on Windows 00:08:00 Installing Python3 on Ubuntu and Mac 00:08:00 Taking a closer look at Python 3 IDLE 00:05:00 Section 02 Math operators 00:12:00 Strings 00:08:00 Variables and variable naming rules 00:11:00 Our first program! 00:12:00 Type, Len, Str, Int, Float , functions 00:09:00 True or false Boolean 00:10:00 IF statement 00:05:00 IF & ELSE 00:13:00 Using ELIF for multiple statements 00:09:00 While loop 00:16:00 Using Continue in a loop 00:06:00 FOR loop 00:10:00 Importing Python libraries 00:12:00 Section 03 Defining functions in Python 3 00:15:00 Local and global variables 00:10:00 Coding guess the number program 00:16:00 Reverse a string function 00:07:00 Calculate area of a circle program 00:11:00 Simple Python calculator 00:15:00 Removing vowels from string program 00:13:00 Find the largest number out of three 00:16:00 Section 04 Python 3 lists 00:15:00 Creating smaller out of bigger list 00:09:00 Manipulating lists and elements 00:08:00 Append, insert, remove, sort 00:11:00 Tuples 00:13:00 Introduction to dictionaries 00:11:00 Values, keys, items, get 00:08:00 Dictionary comprehension - part 1 00:08:00 Dictionary comprehension - part 2 00:07:00 Advance string manipulation 00:12:00 Upper(), lower(), isupper(), islower() 00:09:00 Split, strip, join, startswith, endswith 00:13:00 Section 05 Navigating through system with OS library 00:29:00 Reading and writing to files 00:16:00 Reversing text from a file 00:17:00 Section 06 Try and except 00:13:00 Section 07 Classes 00:22:00 Changing class attributes 00:10:00 Built in class attributes 00:08:00 Using your class in a different program 00:05:00 Using your class in a program 00:26:00 Implementing students count option 00:05:00 Class inheritance 00:12:00 Overriding methods in a class 00:08:00 Section 08 Printing and calculating date and time 00:30:00 Different date formats 00:09:00 Section 09 Extracting useful data 00:23:00 Regex - part 1 00:23:00 Regex - part 2 00:17:00 Section 10 Performing HTTP GET request 00:20:00 Performing post request 00:04:00 Handling website redirections 00:03:00 BeautifulSoup 00:29:00 Encoding in requests 00:12:00 Session and cookies 00:21:00 SSL certificate, authentication 00:21:00 Json library and proxies 00:10:00 Section 11 Socket terminology 00:09:00 Connecting two machines 00:21:00 Coding a chat program 00:35:00 Receiving Desired Amount of Data 00:20:00 Socket Timeout and Options 00:08:00 UDP Server & Client 00:13:00 AF_UNIX & Raw sockets 00:14:00 Section 12 Theory Behind Threaded Server 00:15:00 Thread & Threading 00:50:00 Section 13 Sending Emails Using SMTPlib 00:32:00 PDF Files 00:11:00 Images In Python 00:16:00 Assignment Assignment - Python 3 Programming 00:00:00

Watch a film, don't read a powerpoint! Isn’t it time you considered doing a Driving Safety course? 36% of all road deaths and injuries involves someone driving for work – that’s about 200 deaths or serious injuries a week. At Shout Out Safety, we are committed to providing comprehensive online health and safety courses to a UK audience. Our Driving Safety training course is designed to equip individuals with the knowledge and skills necessary to ensure safe driving practices. This CPD accredited course is divided into four sections, each covering essential topics related to driving for work, pre-trip preparations, recognising and managing hazards, and implementing good driving practices. With a duration of less than one hour, our course offers a convenient and efficient way to enhance your driving safety awareness.

Plumbing: Plumbing Course Online Plumbers are skilled professionals who install and maintain piping and water systems in residential and commercial buildings. Do you want to start a plumbing career or do you want to advance your plumbing skills? Then our Plumbing: Plumbing Course will help you to learn the fundamental skills and knowledge required to advance your career as a professional plumber. This Plumbing: Plumbing Course will provide you with a solid foundation to become a confident plumber and develop more advanced skills, whether you are self-taught and want to fill in the gaps for improved efficiency and productivity. This course is appropriate for both beginners and those who are already working as plumbers. The Plumbing: Plumbing Course will provide you with the necessary skills and experience for the job. Plumbers fit and maintain water systems in buildings. This includes toilets, baths, showers, sinks, washing machines and dishwashers. Our Plumbing: Plumbing Course will teach you how to do these things, what the differences are, and how to do them well in simple and practical ways. This course will also teach you how to install central heating systems as well as how to work with gas boilers. The Professional Plumbing Course teaches you everything about the topic with detailed information, so you can earn a professional certificate to show off your achievements in the workplace. We will walk you through the fundamentals of this Professional Plumbing Course. This course will teach you how to perform and assist unresponsive casualties. You will also learn to deal with common issues and basic maintenance. This comprehensive Professional Plumbing Course is intended for setting up your plumbing career. This course will provide you with a competitive advantage in your career, allowing you to stand out from the rest of applicants and employees. This Professional Plumbing Course is a great medium to improve your skills and understanding; it is one of the most popular courses. Why choose this Plumbing: Plumbing Course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Plumbing: Plumbing Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Plumbing: Plumbing Course.. Main Course: Professional Plumbing Course FREE COURSES: Course 01: Communication Skills Course 02: Level 5 Negotiation Skills Course 03: Anger Management [ Note: Free PDF certificate will provide as soon as completing the Plumbing: Plumbing Course] Plumbing: Plumbing Course Online Course Curriculum of Plumbing: Plumbing Course Online Module 01: Introduction to Plumbing Module 02: Plumbing Terminologies Module 03: Water supply Module 04: Materials/Equipment Assessment Method of Plumbing: Plumbing Course After completing Plumbing: Plumbing Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Plumbing: Plumbing Course After completing the Plumbing: Plumbing Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Plumbing: Plumbing Course Online This comprehensive Plumbing: Plumbing Course is ideal for anyone looking to advance their career or improve their job prospects in the plumbing industry. This Plumbing: Plumbing Course is perfect for those who want to excel at their jobs. Whether you are new to the field or an aspiring professional, the Plumbing: Plumbing Course will help you open doors to a variety of professions within your chosen field, allowing you to stand out to employers with up-to-date skills that can be used to enhance your CV. Requirements Plumbing: Plumbing Course Online To enrol in this Plumbing: Plumbing Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Plumbing: Plumbing Course. Be energetic and self-motivated to complete our Plumbing: Plumbing Course. Basic computer Skill is required to complete our Plumbing: Plumbing Course. If you want to enrol in our Plumbing: Plumbing Course, you must be at least 15 years old. Career path Plumbing: Plumbing Course Online The Plumbing: Plumbing Course is designed to help you get your dream job or even the promotion you've always wanted. With the assistance and guidance of our Plumbing: Plumbing Course, you will learn the necessary skills and knowledge to excel in your professional life.

Course Overview If you are a JavaScript developer who wants to master TypeScript fundamentals, jumpstart on the road to learning TypeScript with this TypeScript Tutorial For Beginners course.  TypeScript is an open-source programming language which builds on JavaScript. The advantage of Typescript over Javascript is that it adds optimal static typing to the JavaScript language. Many Javascript frameworks use typescript, such as Angular. This course covers a comprehensive set of modules to enhance your understanding of TypeScript fundamentals. It explains what typescript is and gives you a clear understanding of its significance. You will learn how to find the data type of a variable in TypeScript and understand how to define a function type variable typescript. You will also learn how to define objects using classes and use the different access modifiers. In time, you will get to grips with the specific skills to write more scalable applications. Whatever you learn in JavaScript adds value to your understanding of TypeScript. You're already halfway there if you're familiar with Javascript. Enrol right now! Learning Outcomes Understand the variables and data types Explore how to define variables using data types Gain in-depth knowledge of the operators Deepen your understanding of the object oriented principles Know how to create and use arrow functions Familiarise with the flow control statements Understand the variable prefixes Have an in-depth understanding of variable prefixes Who is this course for? The TypeScript Tutorial For Beginners course is incredibly beneficial for professionals interested in understanding the fundamentals of TypeScript. Upgrading skills in this course open doors to tremendous opportunities. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path The TypeScript Tutorial For Beginners course provides useful skills to possess and would be beneficial for any related profession or industry such as: TypeScript Developer Full Stack Developer Unit 01: Introduction Module 01: What and why TypeScript 00:02:00 Module 02: TypeScript Playground 00:04:00 Module 03: Install TypeScript 00:02:00 Module 04: Install Visual Studio Code 00:01:00 Unit 02: Variables and Data Types Module 01: Introduction 00:03:00 Module 02: First Program Using Visual Studio Code 00:04:00 Module 03: Use JS in a HTML 00:02:00 Module 04: Strings 00:02:00 Module 05: Boolean 00:01:00 Module 06: Any Type 00:01:00 Module 07: Homogenous Arrays 00:03:00 Module 08: Heterogenous Arrays 00:01:00 Module 09: Using alert confirm and prompt 00:03:00 Module 10: Comments 00:02:00 Module 11: Enum Type 00:05:00 Unit 03: Operators Module 01: Arithmetic 00:03:00 Module 02: Assignment 00:04:00 Module 03: Comparison 00:04:00 Module 04: Logical 00:04:00 Module 05: Ternary 00:03:00 Unit 04: Flow Control Statements Module 01: Introduction 00:01:00 Module 02: IF Else Ladder 00:06:00 Module 03: Switch 00:04:00 Module 04: Break and Case Flow 00:03:00 Module 05: While loop 00:03:00 Unit 05: Objects and Arrays Module 01: Introduction 00:02:00 Module 02: Object Literal 00:03:00 Module 03: For-In Loop 00:02:00 Module 04: Arrays 00:04:00 Module 05: De-Structuring Arrays 00:02:00 Module 06: De-Structuring Objects 00:02:00 Unit 06: Functions Module 01: Introduction 00:02:00 Module 02: First Function 00:03:00 Module 03: Passing a parameter 00:01:00 Module 04: Passing Multiple Parameters 00:02:00 Module 05: Optional Parameters 00:04:00 Module 06: Default Values 00:01:00 Module 07: Function as parameter 00:02:00 Module 08: Returning a function 00:03:00 Module 09: Anonymous Functions 00:02:00 Module 10: Overloading 00:05:00 Module 11: REST PARAMS 00:05:00 Module 12: Using a Type on REST PARAM 00:01:00 Unit 07: Arrow Functions Module 01: Introduction 00:02:00 Module 02: First arrow function 00:03:00 Module 03: Passing Parameters 00:03:00 Module 04: Array of Arrow Functions 00:03:00 Unit 08: Variable Prefixes Module 01: let 00:03:00 Module 02: const 00:02:00 Module 02: const functions 00:02:00 Module 04: declare 00:01:00 Unit 09: Interfaces Module 01: Introduction 00:02:00 Module 02: Define an Object Interface 00:03:00 Module 03: Create and object 00:03:00 Module 04: Defining optional properties 00:01:00 Module 05: Interfaces are only compile time 00:01:00 Module 06: Function Interfaces 00:04:00 Module 07: Return Types in Functional interfaces 00:02:00 Module 08: Adding methods to Object Interfaces 00:02:00 Module 09: Array Interfaces 00:03:00 Module 10: String indexed Array Interfaces 00:03:00 Module 11: Extending interfaces 00:06:00 Unit 10: Classes Module 01: Introduction 00:01:00 Module 02: Create a class 00:03:00 Module 03: Add a constructor 00:04:00 Module 04: Add Function properties 00:02:00 Module 05: Power of TypeScript 00:01:00 Module 06: Using for-in and instanceof 00:04:00 Module 07: Implementing an interface 00:06:00 Unit 11: Inheritance Module 01: Introduction 00:03:00 Module 02: Extending a class 00:05:00 Module 03: Create Child Objects 00:07:00 Module 04: Inheriting Functionality 00:04:00 Module 05: Overriding 00:03:00 Unit 12: Access modifiers, Encapsulation and Static Module 01: Public and readonly 00:02:00 Module 02: Encapsulation 00:01:00 Module 03: Private properties 00:04:00 Module 04: Accessor methods 00:02:00 Module 05: Using Static Properties 00:04:00 Module 06: More about static 00:01:00 Module 07: Static Methods 00:03:00 Unit 13: Type Casting Module 01: String to numeric 00:04:00 Module 02: Using the toString method 00:03:00 Module 03: Object Casting 00:02:00 Unit 14: Modules Module 01: Introduction 00:01:00 Module 02: Using Function Modules 00:04:00 Module 03: Import Aliasing and Alternate Export Syntax 00:02:00 Module 04: Default Exports 00:02:00 Module 05: Class Modules 00:01:00 Module 06: Aliasing class modules 00:02:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.