17354 Other courses in Featherstone delivered Online

This course is designed for all those who are planning to visit Greece and would like to learn and practice common and useful Greek phrases used when travelling. This mini-course introduces different aspects of Greek for tourism, working on main language points and useful Greek vocabulary through a variety of topics related to the tourist industry. After the completion of the course you will be able to communicate in basic everyday circumstances. The course is designed to be completed in 10 days – 10 lessons of 60 minutes each. The lessons are supported by slides (including readers and exercises), audios, and video files. All you need is a computer and an Internet connection, and you are ready to go!

The 'Electrical Circuits Laws and Methods' course is designed to provide a comprehensive understanding of electric circuits, laws, and analytical methods. It covers fundamental concepts, basic laws, methods of analysis, circuit theorems, operational amplifiers, and capacitors and inductors. Students will learn essential principles to analyze and design electrical circuits effectively. Learning Outcomes: Understand the basic concepts of electric circuits, including electric charge, current, voltage, power, and energy. Apply Ohm's Law and other basic laws to analyze resistive circuits and determine currents and voltages. Use nodal and mesh analysis methods to analyze and solve complex electrical circuits with various sources. Apply circuit theorems such as the Superposition Theorem, Thevenin's Theorem, and Norton's Theorem to simplify circuit analysis. Comprehend the properties and applications of operational amplifiers in various amplifier configurations. Analyze capacitors and inductors in DC circuits, calculate their stored energy, and understand their equivalent capacitance and inductance in series and parallel configurations. Why buy this Electrical Circuits Laws and Methods? 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. Certification After studying the course materials of the Electrical Circuits Laws and Methods 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? The Electrical Circuits Laws and Methods course is designed for undergraduate and graduate electrical engineering students as a foundational study of circuit theory. It is suitable for electronics enthusiasts eager to grasp the functioning and design of electrical circuits for various applications. Engineering technicians and technologists working in fields like telecommunications and manufacturing can benefit from this course to better understand and troubleshoot electrical circuits in practical settings. Electrical technicians and electricians can enhance their problem-solving abilities and theoretical knowledge of electrical circuits by taking this course. Hobbyists and DIY enthusiasts interested in electronics projects will find value in learning circuit design and troubleshooting through this course. Professionals in engineering and related fields can use this course for continuing education to refresh their knowledge and stay up-to-date with advancements in electrical circuit theory and methods. Prerequisites This Electrical Circuits Laws and Methods does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Circuits Laws and Methods 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 Electrical Engineer: £28,000 - £70,000 per year Electronics Engineer: £30,000 - £75,000 per year Electrician: £24,000 - £45,000 per year Power Systems Engineer: £32,000 - £80,000 per year Telecommunications Engineer: £28,000 - £70,000 per year Automation and Control Systems Engineer: £35,000 - £80,000 per year Course Curriculum Unit 1- Basic Concepts Module 1- What Is an Electric Circuit 00:02:00 Module 2-System of Units 00:07:00 Module 3- What Is an Electric Charge 00:05:00 Module 4- What Is an Electric Current 00:08:00 Module 5-Example 1 00:01:00 Module 6- Example 2 00:02:00 Module 7- Example 3 00:02:00 Module 8- What Is Voltage 00:07:00 Module 9- What Is Power 00:06:00 Module 10- What Is Energy 00:04:00 Module 11- Example 4 00:03:00 Module 12-Example 5 00:03:00 Module 13- Dependent and Independent Sources 00:05:00 Module 14- Example 6 Part 1 00:04:00 Module 15- Example 6 Part 2 00:01:00 Module 16- Application 1 Cathode Ray Tube 00:04:00 Module 17-Example 10 00:03:00 Module 18- Application 2 Electricity Bills 00:02:00 Module 19- Example 8 00:03:00 Unit 2- Basic Laws Module 1- Introduction to Basic Laws 00:01:00 Module 2- Definition of Resistance 00:06:00 Module 3- Ohm's Law 00:02:00 Module 4- Types of Resistances 00:06:00 Module 5- Open and Short Circuit 00:05:00 Module 6- Definition of Conductance 00:04:00 Module 7-Example 1 00:01:00 Module 8- Example 2 00:03:00 Module 9- Example 3 00:03:00 Module 10- Branch, Node and Loops 00:07:00 Module 11- Series and Parallel Connection 00:04:00 Module 12- KCL 00:04:00 Module 13- KVL 00:03:00 Module 14- Example 4 00:05:00 Module 15- Example 5 00:02:00 Module 16- Example 6 00:06:00 Module 17- Series Resistors and Voltage Division 00:07:00 Module 18-Parallel Resistors and Current Division 00:12:00 Module 19- Analogy between Resistance and Conductance 00:07:00 Module 20-Example 7 00:03:00 Module 21-Example 8 00:04:00 Module 22- Introduction to Delta-Wye Connection 00:06:00 Module 23-Delta to Wye Transformation 00:05:00 Module 24- Wye to Delta Transformation 00:07:00 Module 25-Example 9 00:03:00 Module 26- Example 10 00:15:00 Module 27- Application Lighting Bulbs 00:03:00 Module 28-Example 11 00:05:00 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis 00:02:00 Module 2- Nodal Analysis with No Voltage Source 00:15:00 Module 3-Example 1 00:04:00 Module 4-Cramer's Method 00:04:00 Module 5-Nodal Analysis with Voltage Source 00:07:00 Module 6- Example 2 00:05:00 Module 7- Example 3 00:13:00 Module 8-Mesh Analysis with No Current Source 00:10:00 Module 9-Example 4 00:04:00 Module 10- Example 5 00:06:00 Module 11-Mesh Analysis with Current Source 00:07:00 Module 12-Example 6 00:08:00 Module 13-Nodal Vs Mesh Analysis 00:04:00 Module 14-Application DC Transistor 00:04:00 Module 15-Example 7 00:04:00 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems 00:02:00 Module 2-Linearity of Circuit 00:07:00 Module 3-Example 1 00:04:00 Module 4-Superposition Theorem 00:07:00 Module 5- Example 2 00:04:00 Module 6-Example 3 00:06:00 Module 7-Source Transformation 00:08:00 Module 8-Example 4 00:05:00 Module 9-Example 5 00:03:00 Module 10-Thevenin Theorem 00:10:00 Module 11-Example 6 00:06:00 Module 12-Example 7 00:05:00 Module 13- Norton's Theorem 00:05:00 Module 14-Example 8 00:03:00 Module 15-Example 9 00:05:00 Module 16-Maximum Power Transfer 00:05:00 Module 17-Example 10 00:03:00 Module 18-Resistance Measurement 00:05:00 Module 19-Example 11 00:01:00 Module 20-Example 12 00:04:00 Module 21-Summary 00:05:00 Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers 00:03:00 Module 2-Construction of Operational Amplifiers 00:07:00 Module 3-Equivalent Circuit of non Ideal Op Amp 00:10:00 Module 4-Vo Vs Vd Relation Curve 00:03:00 Module 5-Example 1 00:09:00 Module 6-Ideal Op Amp 00:07:00 Module 7- Example 2 00:04:00 Module 8-Inverting Amplifier 00:05:00 Module 9-Example 3 00:05:00 Module 10-Example 4 00:02:00 Module 11-Non Inverting Amplifier 00:08:00 Module 12-Example 5 00:03:00 Module 13-Summing Amplifier 00:05:00 Module 14-Example 6 00:02:00 Module 15-Difference amplifier 00:06:00 Module 16-Example 7 00:08:00 Module 17-Cascaded Op Amp Circuits 00:06:00 Module 18-Example 8 00:04:00 Module 19-Application Digital to Analog Converter 00:06:00 Module 20-Example 9 00:04:00 Module 21-Instrumentation Amplifiers 00:05:00 Module 22-Example 10 00:01:00 Module 23-Summary 00:04:00 Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors 00:02:00 Module 2-Capacitor 00:06:00 Module 3-Capacitance 00:02:00 Module 4-Voltage-Current Relation in Capacitor 00:03:00 Module 5-Energy Stored in Capacitor 00:06:00 Module 6-DC Voltage and Practical Capacitor 00:02:00 Module 7-Example 1 00:01:00 Module 8-Example 2 00:01:00 Module 9-Example 3 00:05:00 Module 10-Equivalent Capacitance of Parallel Capacitors 00:02:00 Module 11-Equivalent Capacitance of Series Capacitors 00:03:00 Module 12-Example 4 00:02:00 Module 13-Definition of Inductors 00:06:00 Module 14-Definition of Inductance 00:03:00 Module 15-Voltage-Current Relation in Inductor 00:03:00 Module 16-Power and Energy Stored in Inductor 00:02:00 Module 17-DC Source and Inductor 00:04:00 Module 18-Example 5 00:02:00 Module 19-Series Inductors 00:03:00 Module 20-Parallel Inductors 00:04:00 Module 21-Example 6 00:01:00 Module 22-Small Summary to 3 Basic Elements 00:02:00 Module 23-Example 7 00:05:00 Module 24-Application Integrator 00:05:00 Module 25-Example 8 00:03:00 Module 26-Application Differentiator 00:02:00 Module 27-Example 9 00:06:00 Module 28-Summary 00:05:00 Assignment Assignment - Electrical Circuits Laws and Methods 00:00:00

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Fashion Design: Fashion Design Do you want to learn about fashion design? If so, this Fashion Design: Fashion Design course might be just the thing for you. This Fashion Design: Fashion Design course is an excellent place where you may learn how to build amazing outfits and accessories. This Fashion Design: Fashion Design course includes fashion history, sketching, and pattern production. Also. this Fashion Design: Fashion Design course teaches you how to sew, choose fabric, and create patterns. Moreover, the Dress Making and Fashion Design course also discusses the procedure of selling fashionable works. This Dress Making and Fashion Design course is all about producing beautiful things and sharing them with others. Enrol this Fashion Design: Fashion Design course to give a wing to your passion! Fashion Design: Fashion Design Special Offers of this Fashion Design Course This Fashion Design: Fashion Design Course includes a FREE PDF Certificate. Lifetime access to this Fashion Design: Fashion Design Course Instant access to this Fashion Design: Fashion Design Course Get FREE Tutor Support from Monday to Friday in this Fashion Design: Fashion Design Course Who is this course for? Fashion Design: Fashion Design This Fashion Design: Fashion Design course is intended for those who enjoy fashion and want to learn how to manufacture fashionable outfits and accessories. Requirements Fashion Design: Fashion Design To enrol in this Fashion Design: Fashion Design Course, students must fulfil the following requirements. To join in our Fashion Design: Fashion Design Course, you must have a strong command of the English language. To successfully complete our Fashion Design: Fashion Design Course, you must be vivacious and self driven. To complete our Fashion Design: Fashion Design Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Fashion Design: Fashion Design Course. Career path Fashion Design: Fashion Design After completing this Fashion Design: Fashion Design course, you can pursue a variety of fascinating career choices in the fashion industry, such as fashion designer, fashion illustrator, garment technician, fashion merchandiser, stylist, or other similar occupations.

There is so much more to this free tool than just creating PDFs. Learn what else you can do for free. Duration: 2 hours This Adobe Acrobat Reader course looks at the features of the Acrobat Reader tool. Learn how to create PDF and what options you have, complete and sign and mark up PDFs. Objectives  By the end of the course you will be able to: Create PDFs from other tools Complete and sign documents Mark up PDF documents Content Creating PDFs Building PDF documents from Word, Excel and PowerPoint Working in Acrobat Home, Tools and Document Views Using the Navigation Panel and Pane Floating toolbar and Contextual menus Completing and signing documents Using fill and sign to complete forms Adding signatures Marking up documents Marking up changes Using sticky notes Using the highlighter pen Adding stamps Attaching documents and audio

If you're aiming to step into the world of operations or sharpen your ability to run things efficiently behind the scenes, the Operations Coordinator Mini Bundle was created with your career in mind. Packed with must-have professional competencies—Problem Solving, Self Organisation, Purchasing and Procurement, Succession Planning, and Operations Management—this bundle is built to get you hired, fast. Whether you're targeting logistics, manufacturing, administration, or corporate coordination roles, every module in this bundle enhances your practical appeal to hiring managers. With thousands of roles seeking candidates who understand Purchasing and Procurement or excel in Operations Management, this is your chance to get ahead of the competition—without overpaying or wasting time on filler. Description The Operations Coordinator Mini Bundle is an all-in-one launchpad for jobseekers who want to become indispensable. Problem Solving isn’t just a soft skill—it's the backbone of every effective coordinator, and you'll get familiar with its role in everything from crisis handling to day-to-day decision-making. Self Organisation ensures you’re not just another employee, but someone who can manage timelines, tasks, and teams effortlessly. Hiring managers in logistics, supply chain, retail, manufacturing, and corporate support sectors specifically search for professionals with proven insight into Purchasing and Procurement—making this bundle a perfect fit for anyone hoping to move into sourcing or supply-related roles. Succession Planning, on the other hand, adds value to your ability to think long-term and build stable systems, whether you're helping SMEs grow or managing transition plans in large enterprises. And let's not forget the heart of this bundle—Operations Management. It's one of the most sought-after keywords in recruitment listings and a career foundation that applies to nearly every organised business process. Don’t wait until the job market shifts again. Use this Operations Coordinator Mini Bundle to make yourself hireable in five highly in-demand areas—Problem Solving, Self Organisation, Purchasing and Procurement, Succession Planning, and Operations Management. It’s smart, affordable, and ready when you are. FAQ Q: What industries will this help me break into? A: Logistics, supply chain, administration, manufacturing, retail, and corporate operations. Q: Is this bundle beginner-friendly? A: Absolutely. It’s built to boost employability regardless of your current experience level. Q: Will this help me become a team leader or stay in support roles? A: Both. The skills like Succession Planning and Operations Management open doors to leadership. Q: How soon can I see results? A: Many learners see increased interview call-backs within a few weeks of completion. Q: Is this bundle more technical or strategic? A: It strikes the right balance—technical enough to get hired, strategic enough to grow. Q: Can I use this for freelance or contract work? A: Yes. These skills apply in freelance project management and procurement contracts. Q: Is this bundle priced competitively? A: Yes—and intentionally. It’s designed for maximum return on minimal investment. Q: What makes this bundle different? A: Every course—Problem Solving, Self Organisation, Purchasing and Procurement, Succession Planning, and Operations Management—was chosen because employers consistently request them.

This Manual Handling Training Course is designed to provide essential knowledge on how to comply with UK health and safety regulations. The course covers the use of correct control measures, safe handling techniques, and the process of conducting risk assessments. It is particularly beneficial for workers in environments such as warehouses, factories, construction sites, and delivery services, where manual handling is a regular activity. By learning these practices, you can reduce the risk of injury and promote a safer workplace.

AAT Level 2 is the first level of qualification for people with limited or no accounts knowledge. This Foundation Certificate in accounting training equips you for an entry-level role in an Accounting or Finance department. Moreover, this AAT course also lays the groundwork for a promising future in the accounting profession. By the end of the course, you will have a greater understanding and skills of manual and computerised accounts and how to use them in a 'real business world' setting. Why AAT? Want a new direction for your career? Think Accountancy, according to statistics, the average salary for Accountants is £50,000; it is the sector where the employ-ability rate is greater than any other sector. What are the benefits after completing AAT courses? A newly qualified AAT member can expect to earn an average of £21,600. Some accounting technicians work as accounts assistant; others go on to become managing directors or finance directors of well-known companies. Some go to work as a self employed accountant as AAT allows the student to become chartered. Osborne Training is an AAT Approved Training Provider in London. In taking the Association of Accounting Technicians qualification with Osborne Training, you will make one of the greatest decisions of your career. Duration You can expect this qualification to take 1-1.5 year to complete for most students. Tutors Tutors are highly qualified with extensive knowledge of accountancy. Study Options Classroom Based - evening, Weekend and Daytime sessions for AAT course from London Campus. Osborne Training continuously opening new campuses throughout the UK. Online Live - Interactive online sessions through world-class Virtual Learning Campus with study materials are delivered to your home address. Distance Learning- Self-Study with Study Material and access to Online study Material through Virtual Learning Campus. Once you finish the AAT qualification and pass all exams successfully, you will receive a globally recognised AAT Level 2 Foundation Certificate in Accounting from AAT. AAT Level 2 Course syllabus Bookkeeping transactions Bookkeeping Controls Elements of Cost Work effectively in finance Using Accounting Software (i.e SAGE)

Duration 5 Days 30 CPD hours This course is intended for Linux system administrators, site reliability engineers, and other IT professionals with some Ansible experience who are interested in learning how to manage and automate the deployment, configuration, and operation of key network services included with Red Hat Enterprise Linux 8. Overview Provide key network services using software included with Red Hat Enterprise Linux 8, including DNS with Unbound and BIND9, DHCP and DHCPv6, client e-mail transmission, printing service, NFS and SMB protocol file sharing, SQL database service with MariaDB, and web services using Apache HTTPD, nginx, Varnish, and HAProxy. Configure advanced networking for server use cases, including device teaming. Use Red Hat Ansible Engine to automate the manual deployment and configuration tasks covered in this course. Learn how to configure, manage, and scale key services used in the data center Red Hat Services Management and Automation (RH358) is designed for IT professionals with some experience managing Linux© systems and want to learn more about how to manage and deploy network services included with Red Hat© Enterprise Linux which are particularly important in the modern IT data center. You will learn how to install, configure, and manage basic configurations of these services manually, and then use Red Hat Ansible© Engine to automate your work in a scalable, repeatable manner. This course is based on Red Hat Ansible Engine 2.9 and Red Hat Enterprise Linux 8.1. 1 - Manage network services Discuss and review key tools and skills needed to manage network services. 2 - Configure link aggregation Improve the redundancy or throughput of network connections of servers by configuring Linux network teaming between multiple network interfaces. 3 - Manage DNS and DNS servers Explain the operation of DNS service, troubleshoot DNS issues, and configure servers to act as a DNS caching nameserver or as an authoritative name server. 4 - Manage DHCP and IP address assignment Explain and configure services used for IPv4 and IPv6 address assignment including DHCP, DHCPv6, and SLAAC. 5 - Manage printers and printing files Configure systems to print to a network printer that supports IPP Everywhere, as well as manage existing printer queues. 6 - Configure email transmission Discuss how mail servers operate, then configure a server to use system tools and Postfix to send email messages through an outbound mail relay. 7 - Configure MariaDB SQL databases Discuss the basic operation of SQL-based relational databases, perform basic SQL queries for troubleshooting, and be able to set up a simple MariaDB database service. 8 - Configure web servers Provide web content from Apache HTTPD or Nginx web servers, then configure them with virtual hosts and TLS-based encryption. 9 - Optimize web server traffic Improve performance of your web servers by using Varnish to cache static content being served and HAProxy to terminate TLS connections and balance load between servers. 10 - Provide file-based network storage Deliver simple file-based network shares to clients using the NFS and SMB protocols. 11 - Access block-based network storage Configure iSCSI initiators on your servers to access block-based storage devices provided by network storage arrays or Ceph storage clusters.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R