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Overview This comprehensive course on Nodejs MySQL Login System Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Nodejs MySQL Login System Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Nodejs MySQL Login System Course. It is available to all students, of all academic backgrounds. Requirements Our Nodejs MySQL Login System Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 1 sections • 12 lectures • 03:21:00 total length •Module 01: Introduction: 00:03:00 •Module 02: Creating the Server: 00:15:00 •Module 03: Connecting the Database: 00:12:00 •Module 04: Handlebars: 00:14:00 •Module 05: Home and Register Page: 00:22:00 •Module 06: Creating Routes: 00:20:00 •Module 07: Register User: 00:30:00 •Module 08: Login User: 00:29:00 •Module 09: User Profile Page: 00:17:00 •Module 10: Private Pages: 00:31:00 •Module 11: User Logout: 00:08:00 •Module 12: Project Files: 00:00:00

Overview of Xero Accounting and Bookkeeping Online The Xero Accounting and Bookkeeping Online course is perfect for anyone who wants to learn how to manage business finances using one of the most popular accounting tools in the UK. Xero is trusted by over 3.5 million users around the world, and more UK businesses are choosing it every day. With many companies moving away from paper-based accounting, learning how to use Xero gives you a real advantage in today’s job market. This Xero Accounting and Bookkeeping Online course teaches you how to use the software from start to finish. You will learn how to set up your account, send sales invoices, match bank transactions, track inventory, handle payroll, and submit VAT returns. The course is designed to be easy to follow, even if you’re new to accounting. By the end, you’ll know how to manage a company’s books in a smart and simple way. With over £3.7 billion spent on accounting services every year in the UK, there is a growing demand for people who can work with cloud accounting tools. The Xero Accounting and Bookkeeping Online course helps you build the skills that many employers are looking for. Whether you want to work in an office or start your own bookkeeping service, this course can help you move forward. This Xero Accounting and Bookkeeping Online Course will help you to learn: Set up and use Xero Accounting and Bookkeeping Online the right way Create and manage invoices and bills with ease Match bank transactions automatically or by hand Track inventory for products, services, and fixed assets Handle payroll tasks and send VAT returns digitally Create useful financial reports to support smart business choices Who Is This Course for? Small business owners and entrepreneurs who want better control over their finances Finance and accounting staff who want to learn Xero Accounting and Bookkeeping Online Bookkeepers who want to update their knowledge with the latest Xero tools Office staff who work with accounts, invoices, or bank records Anyone who wants to build a career in accounting or finance using practical Xero skills Process of Evaluation After studying the Xero Accounting and Bookkeeping Online, 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 Certificate of Completion - Digital / PDF Certificate After completing the Xero Accounting and Bookkeeping Online, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don't need any educational qualification or experience to enrol in the Xero Accounting and Bookkeeping Online course. Career Path Completing the Xero Accounting and Bookkeeping Online course can lead to roles such as: Bookkeeper – £22,000 to £35,000 per year Accounts Assistant – £20,000 to £28,000 per year Financial Administrator – £24,000 to £32,000 per year Accounts Payable/Receivable Clerk – £21,000 to £30,000 per year Xero Certified Advisor – £30,000 to £45,000 per year Course Curriculum Introduction Introduction 00:02:00 Getting Started Introduction - Getting Started 00:01:00 Signing up to Xero 00:04:00 Quick Tour of Xero 00:12:00 Initial Xero Settings 00:13:00 Chart of Accounts 00:14:00 Adding a Bank Account 00:08:00 Demo Company 00:04:00 Tracking Categories 00:07:00 Contacts 00:12:00 Invoices and Sales Introduction - Invoices and Sales 00:01:00 Sales Screens 00:04:00 Invoice Settings 00:13:00 Creating an Invoice 00:18:00 Repeating Invoices 00:07:00 Credit Notes 00:06:00 Quotes Settings 00:03:00 Creating Quotes 00:07:00 Other Invoicing Tasks 00:03:00 Sending Statements 00:03:00 Sales Reporting 00:05:00 Bills and Purchases Introduction - Bills and Purchases 00:01:00 Purchases Screens 00:04:00 Bill Settings 00:02:00 Creating a Bill 00:13:00 Repeating Bills 00:05:00 Credit Notes 00:06:00 Purchase Order Settings 00:02:00 Purchase Orders 00:08:00 Batch Payments 00:12:00 Other Billing Tasks 00:02:00 Sending Remittances 00:03:00 Sending Remittances 00:03:00 Purchases Reporting 00:05:00 Bank Accounts Introduction - Bank Accounts 00:01:00 Bank Accounts Screens 00:07:00 Automatic Matching 00:04:00 Reconciling Invoices 00:06:00 Reconciling Bills 00:03:00 Reconciling Spend Money 00:05:00 Reconciling Receive Money 00:04:00 Find and Match 00:04:00 Bank Rules 00:09:00 Cash Coding 00:03:00 Remove and Redo vs Unreconcile 00:04:00 Uploading Bank Transactions 00:07:00 Automatic Bank Feeds 00:06:00 Products and Services Introduction - Products and Services 00:01:00 Products and Services Screen 00:02:00 Adding Services 00:03:00 Adding Untracked Products 00:03:00 Adding Tracked Products 00:07:00 Fixed Assets Introduction - Fixed Assets 00:01:00 Fixed Assets Settings 00:06:00 Adding Assets from Bank Transactions 00:06:00 Adding Assets from Spend Money 00:05:00 Adding Assets from Bills 00:02:00 Depreciation 00:04:00 Payroll Introduction - Payroll 00:01:00 Payroll Settings 00:15:00 Adding Employees 00:18:00 Paying Employees 00:10:00 Payroll Filing 00:04:00 VAT Returns Introduction - VAT Returns 00:01:00 VAT Settings 00:02:00 VAT Returns - Manual Filing 00:06:00 VAT Returns - Digital Filing 00:06:00 Assignment Assignment - Xero Accounting and Bookkeeping Online 00:00:00 Recommended Materials Workbook - Xero Accounting and Bookkeeping Online 00:00:00

In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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

Data is the lifeblood of any business, and data administrators are responsible for ensuring that it is accurate, secure, and accessible. With the rise of big data, the demand for skilled data administrators in the UK is skyrocketing, with an impressive growth rate of 15% in job demand over the past year alone. What's more, professionals in this domain command handsome salaries, ranging between £50,000 to £85,000 annually. If you're interested in a career in data administration, or if you're looking to advance your existing career, our Data Administration Processes course is the perfect place to start. This comprehensive course will teach you everything you need to know about data administration, from the basics of data modeling and database design to more advanced topics such as data security and disaster recovery. Embracing this course can be a pivotal stepping stone in solidifying your career as a top-tier data administrator. Why would you choose the Data Administration Processes course from Compliance Central: Lifetime access to Data Administration Processes course materials Full tutor support is available from Monday to Friday with the Data Administration Processes course Learn Data Administration Processes skills at your own pace from the comfort of your home Gain a complete understanding of Data Administration Processes course Accessible, informative Data Administration Processes learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Data Administration Processes Study Data Administration Processes in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Data Administration Processes Course Data Administration Processes Curriculum Breakdown of the Data Administration Processes Course Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Data Administration Processes Course Learning Outcomes: Grasp foundational principles of data administration processes. Analyse and interpret various data visualisation tools. Understand and implement effective performance measurement structures. Recognize and address data variations strategically. Employ techniques to drive improvement through data. Present performance data with clarity and precision. Apply theoretical knowledge in real-world scenarios. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Administration Processes course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Data Administration Processes. It is also great for professionals who are already working in Data Administration Processes and want to get promoted at work. Requirements To enrol in this Data Administration Processes course, all you need is a basic understanding of the English Language and an internet connection. Career path The Data Administration Processes course will enhance your knowledge and improve your confidence. Data Analyst: £25,000 to £60,000 per year Data Entry Specialist: £18,000 to £30,000 per year Database Administrator: £30,000 to £65,000 per year Data Quality Manager: £35,000 to £70,000 per year Business Intelligence Analyst: £30,000 to £60,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Dive into the fascinating world of deep learning with this expertly crafted course designed to unravel the mysteries of neural networks using R. This course guides you through the core principles of neural networks, illustrating how layers of algorithms mimic the human brain’s ability to identify patterns and make decisions. Whether you’re a data enthusiast or a professional seeking to enhance your analytical toolkit, this course offers a clear and engaging path to understanding deep learning concepts through the power of R programming. With a sharp focus on theory and application, you will explore how to build, train, and optimise neural networks effectively, while leveraging R’s rich ecosystem of libraries and tools. The course content is designed to maintain a perfect balance between depth and clarity, making complex topics accessible without oversimplification. By the end, you will be equipped with a strong conceptual foundation and the confidence to approach deep learning projects with R, all through an engaging online format that fits seamlessly into your schedule. Learning Outcomes: Understanding of single-layer and multi-layer neural networks Knowledge of R programming for neural network applications Implementation of neural networks in real-world projects Familiarity with agriculture and war datasets for neural network modelling Ability to evaluate neural network model accuracy and performance The Deep Learning Neural Network with R course is designed to provide learners with a comprehensive understanding of how to build and evaluate neural networks using R programming language. The course includes four modules that cover single-layer and multi-layer neural networks applied to agriculture and war datasets. Each module contains practical hands-on projects that allow learners to gain real-world experience in neural network development and evaluation. By the end of the course, learners will have a solid understanding of neural network concepts, R programming language, and practical experience with real-world datasets. Deep Learning Neural Network with R Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts and scientists seeking to expand their knowledge of neural networks and R programming Professionals interested in applying neural networks to agriculture or war datasets Students and researchers interested in deep learning and machine learning techniques Anyone looking to enhance their skills in data analysis and modelling using neural networks and R programming Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Analyst Machine Learning Engineer Data Scientist Artificial Intelligence Developer Research Scientist Entry-level positions such as Data Analysts can expect to earn between £25,000 to £35,000 per annum, whereas senior-level positions such as Machine Learning Engineers can earn upwards of £70,000 per annum. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training 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 Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training 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? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.

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