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Coding (Computer Programming) Master the knowledge and skills needed to become a good programmer Coding is a cornerstone of the digital age, influencing everything from the technology we use daily to the applications we rely on. Mastering various aspects of coding and computer programming is essential for anyone looking to excel in this field. The Coding (Computer Programming) Diploma provides comprehensive training on crucial programming concepts, including binary systems, algorithm analysis, and data storage. Additionally, you will gain practical skills in arrays, linked lists, stacks, and queues. This diploma course is designed to equip you with the necessary knowledge and technical skills to become proficient in coding. Through detailed modules and hands-on practice, you’ll learn how to tackle complex problems, write efficient code, and understand fundamental computer science principles. This in-depth training ensures you are well-prepared to enter the programming industry with confidence. Embrace the opportunity to advance your coding skills and enhance your career prospects. By enrolling in the Coding (Computer Programming) Diploma, you'll position yourself for success in a competitive job market. Start your journey today and gain the expertise needed to excel as a skilled programmer. This Coding (Computer Programming) Bundle Consists of the following Premium courses: Course 01: Coding with HTML, CSS, & JavaScript Course 02: Computer Science With Python Course 03: Python Programming for Everybody Course 04: Ultimate PHP & MySQL Web Development Course & OOP Coding Course 05: Ethical Hacking Course 06: Complete Web Application Penetration Testing & Security Course 07: Diploma in PHP Web Development Course 08: Front End Web Development Diploma Course 09: SQL Server for Beginners Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Level 3 Cyber Security Key Features of the Course: FREE Coding (Computer Programming) Diploma CPD-accredited certificate Get a free student ID card with Coding (Computer Programming) Diploma training (£10 applicable for international delivery) Lifetime access to the Coding (Computer Programming) Diploma course materials The Coding (Computer Programming) Diploma program comes with 24/7 tutor support Get instant access to this Coding (Computer Programming) Diploma course Learn Coding (Computer Programming) Diploma training from anywhere in the world The Coding (Computer Programming) Diploma training is affordable and simple to understand The Coding (Computer Programming) Diploma training is entirely online Learning Outcomes of Coding (Computer Programming): Gain the knowledge, skills and guidelines of coding (computer programming) Ability to do coding with HTML, CSS, Javascript & Python Learn how to create your first responsive website Get a comprehensive understanding of ethical hacking and web hacking Explore complete web application penetration testing & security Gain expertise in PHP web development & Front End web development Discover SQL Server and how it is used to manage and store information Become fully aware of Cloud Computing and why it is needed Description The Coding (Computer Programming) Diploma provides an in-depth exploration of essential programming concepts and practices. This comprehensive course covers everything from binary systems and algorithm analysis to data structures such as arrays, linked lists, stacks, and queues. With practical hands-on training, you'll develop the skills needed to tackle complex coding challenges and build efficient, effective programs. Perfect for those seeking to enhance their technical expertise or launch a career in programming, this diploma offers the foundational knowledge and practical experience required to succeed in the dynamic field of computer science. Curriculum of Coding (Computer Programming) Bundle Course 01: Coding with HTML, CSS, & JavaScript Welcome HTML 5 CSS 3 Bootstrap Project 1 - Design a Landing Page Project 2 - Business Website Project 3 - Portfolio ~~~~~Other Courses are included in this Coding (Computer Programming Training) Bundle~~~~~ Course 02: Computer Science With Python Course 03: Python Programming for Everybody Course 04: Create Your First Responsive Website Course 05: Ethical Hacking Course 06: Complete Web Application Penetration Testing & Security Course 07: Diploma in PHP Web Development Course 08: Front End Web Development Diploma Course 09: SQL Server for Beginners Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Level 3 Cyber Security How will I get my Coding (Computer Programming) Certificate? After successfully completing the Coding (Computer Programming) bundle, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously, it was £6*11 = £66) Hard Copy Certificate: Free ((Previously, it was £10) CPD 130 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our Coding (Computer Programming) Diploma course is for anyone looking to upskill their career in any IT field. Requirements Our Coding (Computer Programming) is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices. Career path Explore diverse career opportunities with our Coding with Scratch course: Junior Software Developer: £25,000 - £35,000 Game Designer: £28,000 - £40,000 Coding Instructor: £22,000 - £30,000 Interactive Media Designer: £30,000 - £45,000 Educational Technologist: £25,000 - £38,000 App Developer: £30,000 - £50,000 Certificates Certificate of completion Digital certificate - Included You will get the Hard Copy certificate for the title course (Coding with HTML, CSS, & JavaScript) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost. Certificate of completion Digital certificate - Included

This course aims to prepare individuals for the AWS Certified Solutions Architect Associate exam. It covers essential AWS services, cloud architecture design, deployment strategies, and best practices for managing various AWS components. Learning Outcomes: Understand the fundamental concepts of AWS Cloud Services and their application in real-world scenarios. Design and implement AWS Storage and Virtual Private Cloud (VPC) solutions. Learn how to design, implement, and manage Compute Services effectively. Master Identity and Access Management (IAM) and its best practices for secure access control. Explore Auto Scaling Solutions and Virtual Network Services to optimize AWS infrastructure. Gain proficiency in deploying applications and databases on AWS. Discover additional AWS services and their integration for comprehensive cloud solutions. Develop insights into achieving operational excellence with AWS services. Why buy this AWS Certified Solutions Architect Associate Preparation? 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 AWS Certified Solutions Architect Associate Preparation there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This AWS Certified Solutions Architect Associate Preparation course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This AWS Certified Solutions Architect Associate Preparation does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AWS Certified Solutions Architect Associate Preparation was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This AWS Certified Solutions Architect Associate Preparation is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Exam Tips and Tricks What is AWS? 00:02:00 Why use AWS? 00:03:00 How to Get Started with AWS 00:04:00 AWS Certifications 00:04:00 Preparation Resources 00:02:00 Benefits of Certification 00:02:00 AWS CSA-A Overview 00:04:00 What's New on the 2020 Updated Exam? 00:03:00 AWS CSA-A Exam Objectives 00:06:00 The Four Key Areas (Compute, Networking, Storage, and Databases) 00:04:00 Master the Knowledge Areas 00:02:00 Use the System 00:05:00 Take Notes 00:03:00 Be Mentally and Physically Prepared 00:04:00 Take the Exam 00:04:00 Section 03: AWS Cloud Services Overview Cloud Computing Defined 00:08:00 Benefits of Cloud Computing 00:10:00 Cloud Computing Models 00:07:00 History 00:07:00 Platform 00:06:00 Services, Part 1 00:10:00 Services, Part 2 00:08:00 Security and Compliance 00:07:00 Regions and Availability 00:06:00 Section 04: AWS Storage Design Storage Services 00:07:00 S3 Storage Class 00:07:00 S3 Terminology 00:09:00 S3 Advanced Features 00:08:00 Creating S3 Buckets Lab 00:08:00 S3 Bucket Properties 00:08:00 S3 Managing Objects Lab 00:11:00 Glacier 00:07:00 Setting up a Glacier Vault Lab 00:08:00 S3 and Tape Gateway 00:06:00 S3 Enhanced Features 00:08:00 Elastic Block Store (EBS) 00:08:00 Creating EBS Volumes Lab 00:07:00 Elastic File System (EFS) 00:07:00 Creating an EFS File System Lab 00:07:00 EFS and PrivateLink 00:03:00 Intro to Amazon FSx 00:06:00 Hands-on with FSx 00:06:00 Integrating on-Premises Storage 00:07:00 Storage Access Security Lab 00:10:00 Storage Performance 00:08:00 Section 05: Virtual Private Cloud (VPC) Virtual Private Cloud (VPC) Overview 00:10:00 Creating a VPC Lab 00:11:00 Configuring DHCP Options Lab 00:04:00 Elastic IP Addresses 00:07:00 Elastic Network Interfaces (ENIs) 00:05:00 Endpoints 00:07:00 VPC Peering 00:08:00 Creating a VPC Peering Connection Lab 00:10:00 Security Groups Overview 00:07:00 Network Address Translation (NAT) 00:11:00 Gateways (VPGs and CGWs) 00:08:00 VPN Configuration Option 00:04:00 Section 06: Compute Services Design EC2 Overview 00:11:00 EC2 Instance Types 00:11:00 EC2 Pricing 00:13:00 EBS and EC2 00:05:00 Section 07: Compute Services Implementation Launching an EC2 Linux Instance Lab 00:13:00 Configuring an EC2 Linux Instance Lab 00:08:00 Setting up an EC2 Windows Instance Lab 00:12:00 Shared Tenancy 00:05:00 Dedicated Hosts 00:08:00 Dedicated Instances 00:06:00 AMI Virtualization 00:12:00 Section 08: Compute Services Management Instance Management 00:09:00 Connecting to Instances Lab 00:09:00 Working with Security Groups 00:10:00 Working with Security Groups Lab 00:10:00 Advanced EC2 Management 00:06:00 AWS Batch 00:06:00 Elastic Container Service (ECS) 00:08:00 Elastic Beanstalk Environment 00:11:00 Section 09: Identity and Access Management (IAM) Identity and Access Management (IAM) Overview 00:07:00 Principals 00:10:00 Root User 00:06:00 Authentication 00:06:00 Authorization Policies 00:13:00 Multi-Factor Authentication 00:08:00 Key Rotation 00:10:00 Multiple Permissions 00:06:00 AWS Compliance Program 00:07:00 AWS Security Hub 00:06:00 Shared Responsibility Models 00:06:00 Section 10: IAM Best Practices User Accounts 00:11:00 Password Policies 00:09:00 Credential Rotation 00:06:00 Principle of Least Privilege 00:05:00 IAM Roles 00:08:00 Policy Conditions 00:08:00 CloudTrail 00:12:00 Section 11: Auto Scaling Solutions Auto Scaling Overview 00:06:00 Auto Scaling Groups 00:04:00 Termination Policies 00:07:00 Auto Scaling Configuration Lab 00:13:00 Launch Methods 00:04:00 Load Balancer Concepts 00:08:00 Elastic Load Balancing (ELB) 00:10:00 Section 12: Virtual Network Services DNS 00:14:00 Configuring DNS Lab 00:07:00 Configuring Route 53 Lab 00:13:00 Configuring ACLs and NACLs Lab 00:09:00 Flow Logs 00:07:00 Section 13: AWS Application Deployment Application and Deployment Services 00:04:00 Lambda 00:06:00 API Gateway 00:09:00 Kinesis 00:06:00 Kinesis Data Streams and Firehose 00:06:00 Kinesis Data Analytics 00:04:00 Reference Architectures 00:06:00 CloudFront 00:10:00 Web Application Firewall (WAF) 00:09:00 Simple Queue Service (SQS) 00:10:00 Simple Notification Service (SNS) 00:08:00 Simple Workflow (SWF) 00:07:00 Step Functions 00:05:00 OpsWorks 00:08:00 Cognito 00:04:00 Elastic MapReduce (EMR) 00:05:00 CloudFormation 00:10:00 CloudFormation Properties 00:03:00 CloudWatch 00:06:00 Trusted Advisor 00:07:00 Organizations 00:09:00 Section 14: AWS Database Design Database Types 00:08:00 Relational Databases 00:08:00 Database Hosting Methods 00:05:00 High Availability Solutions 00:06:00 Scalability Solutions 00:06:00 Database Security 00:08:00 Aurora 00:06:00 Redshift 00:11:00 DynamoDB 00:10:00 Section 15: Database Deployment DynamoDB Tables Lab 00:08:00 MySQL Lab 00:13:00 Configuration Lab 00:13:00 Backups Lab 00:04:00 Restore Lab 00:04:00 Snapshot Lab 00:08:00 Monitoring Lab 00:06:00 Section 16: Additional AWS Services Media Content Delivery 00:13:00 Desktop and Appstreaming 00:06:00 ElastiCache 00:05:00 Security Services Lab 00:12:00 Analytics Engines 00:11:00 Development Operations (DevOps) 00:12:00 AWS Solutions 00:05:00 AWS Transit Gateway 00:03:00 AWS Backup 00:04:00 AWS Cost Explorer 00:04:00 Section 17: Operational Excellence with AWS The Operational Excellence Process 00:08:00 Widget Makers Scenario 00:06:00 Resilient Design 00:08:00 Resilient Design Scenario 00:05:00 Performant Design 00:09:00 Performant Design Scenario 00:06:00 Secure Design 00:08:00 Secure Design Scenario 00:05:00 Cost Optimization 00:07:00 Cost Optimization Scenario 00:05:00 General Best Practices 00:07:00

This comprehensive Solidity course is designed for individuals seeking to expand their understanding of Ethereum, blockchain, and smart contract development. Whether you are an aspiring blockchain developer or an Ethereum enthusiast, this course covers all the essential topics including Solidity programming, DApp development, cryptocurrency, and more.

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

Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance

Course Overview This course provides a comprehensive introduction to European Medical Device Regulations (EU MDR), offering learners essential knowledge on the regulatory framework that governs medical devices in the European market. It covers the key components of the EU MDR, ensuring compliance with industry standards and regulations, and highlights the importance of quality systems and reporting requirements. Through this course, learners will gain a solid understanding of how to navigate and implement these regulations in their professional practice. This course is ideal for individuals seeking to expand their expertise in medical device regulation and is invaluable for those aiming to work within the medical device industry in Europe. Course Description The "Essentials of European Medical Device Regulations" course delves into the critical aspects of the EU MDR, including its foundational components, regulatory compliance, and the reporting and identification requirements for medical devices. Learners will explore the essential guidelines for ensuring quality systems are in place to maintain product safety and regulatory compliance. With a focus on practical scenarios and real-world applications, this course equips learners with the necessary skills to interpret and implement these regulations effectively. The course is designed for professionals looking to enhance their understanding of medical device regulations within the European market, offering in-depth insights into the key elements of the EU MDR and its impact on the industry. Course Modules Module 01: Overview to European Regulations on Medical Devices Module 02: Essential Components of EU MDR Module 03: Reporting Requirements and Identification Module 04: Quality System in Medical Device Regulation (See full curriculum) Who is this course for? Individuals seeking to understand European medical device regulations. Professionals aiming to enhance their regulatory compliance expertise. Beginners with an interest in the medical device industry. Regulatory professionals in the healthcare and life sciences sector. Career Path Regulatory Affairs Specialist Compliance Manager in the medical device industry Quality Assurance Manager Medical Device Consultant European Market Access Manager

Course Overview: The "Conveyancing - Online Diploma" offers a comprehensive introduction to the legal process of property transactions. This course covers key aspects of conveyancing, including property law, standard transactions, and taxation issues. It equips learners with essential knowledge in legal documentation, the law of contract, and landlord-tenant relations. Upon completion, learners will have developed a solid understanding of the conveyancing process, enabling them to pursue career opportunities within the legal sector or enhance their current roles. The course provides learners with a robust foundation in property law and conveyancing practices, ensuring that they are well-prepared for real-world applications in the field. Course Description: This online diploma course covers a wide range of topics crucial for understanding the conveyancing process. Learners will explore key fundamentals, including property law, the law of contract, and landlord-tenant relations. The course will also delve into the practical aspects of property transactions, such as preparing legal documents, understanding accounting procedures, and staying updated with land registry regulations. As learners progress, they will deepen their understanding of standard conveyancing transactions and taxation issues relevant to conveyancers. The course is designed to provide learners with the knowledge and skills needed to navigate the complexities of property law and successfully manage conveyancing processes within a legal or professional setting. Course Modules: Module 01: Introduction to Conveyancing Module 02: Key Conveyancing Fundamentals Module 03: Property Law & Conveyancing Practice Module 04: Land Registry Updates and Law Module 05: Law of Contract Module 06: Landlord and Tenant Module 07: Standard Conveyancing Transactions Module 08: Understanding Accounting Procedures for Conveyancing Transactions Module 09: Preparing Legal Documents Module 10: Taxation Issues for Conveyancers (See full curriculum) Who is this course for? Individuals seeking to start a career in conveyancing. Professionals aiming to deepen their knowledge of property law. Beginners with an interest in property law and conveyancing. Individuals wanting to work in legal support roles within real estate. Career Path: Conveyancer Property Lawyer Legal Assistant in Real Estate Paralegal in Property Transactions Real Estate Legal Consultant

Course Overview This course on "Energy Saving in Electric Motors" provides learners with a comprehensive understanding of the principles and techniques for improving energy efficiency in electric motors. With the increasing demand for sustainable practices, this course equips participants with the knowledge to identify and implement energy-saving solutions, ultimately helping businesses reduce operational costs and environmental impact. Through a structured approach, learners will explore motor classifications, losses, and various strategies for optimising energy consumption. By the end of the course, participants will be equipped with the skills to enhance motor performance, ensuring long-term energy savings and contributing to a greener future. Course Description The "Energy Saving in Electric Motors" course covers a wide range of topics crucial for understanding energy efficiency in motor systems. Learners will explore key concepts such as motor classifications, relevant terminology, and the various losses associated with electric motors. The course delves into multiple strategies for energy saving across five focused modules, providing detailed insights into how energy consumption can be reduced at different stages of motor operation. The course also introduces energy-efficient motor technologies, ensuring learners gain a well-rounded understanding of the subject. Participants will develop the skills to identify opportunities for energy optimisation in motor systems, improving both operational efficiency and environmental sustainability. Course Modules Module 01: Introduction Module 02: Classification Module 03: Terminologies Module 04: Losses Module 05: Energy saving in motors part I Module 06: Energy saving in motors part II Module 07: Energy saving in motors part III Module 08: Energy saving in motors part IV Module 09: Energy saving in motors part V Module 10: Energy Efficient Motor (See full curriculum) Who is this course for? Individuals seeking to improve energy efficiency in industrial operations. Professionals aiming to enhance their expertise in electric motor systems. Beginners with an interest in energy management or electrical engineering. Environmental advocates looking to contribute to sustainable practices in the industrial sector. Career Path Energy Efficiency Consultant Electrical Engineer (Industrial Applications) Sustainability Manager Motor Systems Specialist Energy Auditing Professional

This course is designed to help you understand the basic and advanced concepts of ethical hacking with ease. The course features interesting examples and coding activities in each video to keep you engaged and guides you effectively through writing programs to hack a system.

Diploma in Clinical Psychology Course Online The Diploma in Clinical Psychology course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Our comprehensive Diploma in Clinical Psychology course is the perfect way to kickstart your career in the field of psychology. The Diploma in Clinical Psychology course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. Main Course: Diploma in Clinical Psychology Free Courses Course 01: Psychological Wellbeing Practitioner Course 02: Diploma in Counselling and Psychology Course 03: Diploma in Mastering Psychology [ Note: Free PDF certificate as soon as completing the Diploma in Clinical Psychology course] Diploma in Clinical Psychology Course Online Industry Specialists developed this Diploma in Clinical Psychology Course into 12 user-friendly modules/ lectures. Assessment Method of Diploma in Clinical Psychology Course After completing Diploma in Clinical Psychology 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 Diploma in Clinical Psychology Course After completing the Diploma in Clinical Psychology 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? Diploma in Clinical Psychology Course Online This Diploma in Clinical Psychology course is ideal for anyone looking to start a career in the field of psychology or counselling. Requirements Diploma in Clinical Psychology Course Online To enrol in this Diploma in Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Diploma in Clinical Psychology Course. Be energetic and self-motivated to complete our Diploma in Clinical Psychology Course. Basic computer Skill is required to complete our Diploma in Clinical Psychology Course. If you want to enrol in our Diploma in Clinical Psychology Course, you must be at least 15 years old. Career path Diploma in Clinical Psychology Course Online This Diploma in Clinical Psychology course will prepare you for a variety of career paths.