3812 Engineer courses in Horsforth delivered Online

CentOS training course description This three day hands on course provides a comprehensive coverage of core Linux administration tasks on CentOS Linux. What will you learn Administer & configure Linux systems. Maintain Linux by handling disk space and taking regular backups. Manage software packages. Perform basic troubleshooting. Maintain a secure Linux system. Describe the organisation and implementation of the filesystem. CentOS training course details Who will benefit: System administrators. Network administrators. Prerequisites: Linux fundamentals Duration 3 days CentOS training course contents Managing software Package Concepts, RPM, rpm Commands, Yum, Dependencies and Conflicts, Startup Script Problems, Shared Libraries, Library Management, Managing Processes, the Kernel: The First Process, Process Lists, Foreground & Background Processes, Process Priorities, Killing Processes. Configuring hardware Configuring Firmware and Hardware, IRQs, I/O Addresses, DMA Addresses, Boot Disks, Coldplug and Hotplug Devices, Configuring Expansion Cards and PCI Cards, Kernel Modules, USB Devices, Linux USB Drivers, Configuring Hard Disks, Partitioning Systems, LVM, Common Layouts, Creating Partitions and Filesystems, Maintaining Filesystem Health, Tuning, Journals, Checking Filesystems, Monitoring Disk Use, Mounting and Unmounting Filesystems. Managing files File Management Commands, File Naming and Wildcards, File Archiving, Links, Directory Commands, File Ownership and Group, File access control, Permissions, chmod, Defaults, File Attributes, Disk Quotas, Enabling and setting Quotas, Locating Files, The FHS. Booting Linux and editing files Installing Boot Loaders, GRUB Legacy, GRUB 2, Alternative Boot Loaders, the Boot Process, Boot Messages, Runlevels and the Initialization Process, Runlevel Functions, Runlevel Services, Alternative Boot Systems , Upstart, system. Administering the system Managing Users and Groups, Tuning User and System Environments, Using System Log Files, Understanding syslogd , Setting Logging Options, Manually Logging Data, Rotating Log Files, Reviewing Log File Contents, Maintaining the System Time, Linux Time Concepts, Manually Setting the Time, Using NTP, Running Jobs in the Future, Understanding the Role of cron, Creating System cron Jobs, Creating User cron Jobs, Using anacron, Using at. Configuring basic networking TCP/IP, Network Hardware, Network Addresses, Hostnames, Network Ports, Configuring Linux for a Local Network, Configuring with DHCP, Static IP Address, Configuring Routing, Using GUI Configuration Tools, ifup and ifdown, Diagnosing Network Connections, Testing Connectivity, Tracing a Route, Checking Network Status , Examining Network Traffic, Additional Tools. Securing your systems Administering Network Security, Super Server Restrictions, Disabling Unused Servers, Administering Local Security, Securing Passwords, Limiting root Access, Setting Login, Process, SUID/SGID Files, Configuring SSH, Using GPG, Generating, Importing and Revoking Keys, Encrypting and Decrypting Data, Signing Messages and Verifying Signatures.

REXX training course description A hands on training course covering the Restructured EXtended eXecutor (REXX) language. A large number of exercises are used to reinforce and emphasise lecture sessions. What will you learn Write REXX programs. Debug REXX programs. Examine existing code and determine its function. REXX training course details Who will benefit: Anyone wishing to learn REXX. Prerequisites: None although experience in another high level language would be useful. Duration 3 days REXX training course contents Introduction to REXX What is REXX? REXX environments, invoking a REXX exec, a sample REXX exec, REXX clause types. REXX variables and data Literal data, variable data, assignment, simple variables, compound variables, stem variables, constant data, numeric data, arithmetic operations, character manipulation, hexadecimal data. The parse instruction Parse format, Parse examples, Parse arg, Parse pull, Parse value, special templates, place holders, literal templates, numeric templates, variable templates. Control structures Relational conditions, logical operators, simple selection, looping: uncontrolled and controlled loops, infinite loops, conditional loops, controlling loops, leave, iterate, multiple selection, instructions for subroutines, exit. Sub routines and functions Internal and external subroutines, call, ARG(), ARG(n)return, exit, scope of variables, procedure, functions, built in functions, overriding built in functions. Performing I/O Command conventions, preparing to read a file, execio, limitations, execio for reading, DISKR, DISKRU, DISKW, return codes. External functions listdsi, msg, outtrap, prompt, sysdsn, sysvar, storage Tracing Immediate commands, the trace facility, signal and call statements. Built in functions Text handling functions, string handling, word handling, arithmetic, data conversion, bit manipulation, environment. The data stack Data stack structure, REXX instructions for the data stack, REXX functions for the data stack, TSO/E commands for the data stack. REXX in batch TSO/E foreground. TSO/E background.

XML primer training course description This course has been designed for web and intranet developers who want to accelerate their learning of XML and its applications without the grind of book learning. Although a basic knowledge of HTML and JavaScript is assumed, it is also assumed you know very little about XML and how to use it. On completion of this course you should understand the benefits of using XML and be able to design XML solutions where applicable to your company's Internet/intranet requirements. The course will be particularly beneficial if you want to know how to communicate data to diverse applications over the Internet or company intranet. What will you learn Write XML. Debug XML. Examine existing code and determine its function. XML primer training course details Who will benefit: Anyone working with XML. Prerequisites: HTML5 development fundamentals Duration 3 days XML primer training course contents The origins of XML Markup languages, SGML, document type definitions and validity, introducing XML, IE and XML, accessing content and adding style. Basic XML XML document structure, elements and attributes, grammar, well formed documents, other XML elements and references. Document Type Definition (DTDs) Creating a DTD, basic declaration, declaring elements, content definitions, entities, entity declarations, notations, defining attributes, attribute types, forcing inclusion or exclusion of DTD sections, validation. Namespaces Declaring namespaces, scoping, removing and changing namespaces, qualified names, attribute namespaces. An introduction to schemas Constructing schemas, defining the root element and its contents,<ELEMENTTYPE>, defining root element contents, adding attributes definitions, <ATTRIBUTETYPE>, <ELEMENT>, <ATTRIBUTE>. XML & the Document Object Model (DOM) What the DOM offers, DOM and W3C. Basic DOM concepts XML documents as trees, terminology of tree elements. Key DOM Objects: The document object and its creation, base objects, IE specifics, the XML node hierarchy. Programming DOM Viewing a DOM model as XML, getting the root element of a document, iterating nodes of a DOM, basic node properties, collection objects, searching for specific values, filtering a nodelist by tagname, more filtering methods, selecting nodes from their attributes. Amending Content and Structure Creating/saving a DOM as XML, changing content/structure, dynamically building a DOM. Using ASP and other techniques ASP techniques, HTTPREQUEST object, XSL, transforming and formatting XML. Formatting Using CSS. CSS And XML. XSL Transformations - XSLT Introduction, the XSL root element, applying XSL stylesheets to XML, XSL elements and operations, instructions - creating text nodes and applying templates, a 'drill-down' approach, simple output formatting, pattern filters - patterns based on position, the Match and Select attributes and their patterns, formatting output, creating new XML in output.

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Heating, Ventilation & Air Conditioning (HVAC) Technician Course Online If any individuals in the UK can get into a lucrative career path with competitive salaries, you are cordially welcome to our Heating, Ventilation & Air Conditioning (HVAC) Technician Course. This Heating, Ventilation & Air Conditioning (HVAC) Technician Course provides an overview of HVAC, its systems, and the selection process. Also, the Heating, Ventilation & Air Conditioning (HVAC) Technician Course explains all the fundamentals of heating and psychrometrics. Moreover, our Heating, Ventilation & Air Conditioning (HVAC) Technician Course is perfect for learning the HVAC industry's safety and duct systems. To enhance your potential growth in this dynamic industry, join our Heating, Ventilation & Air Conditioning (HVAC) Technician Course quickly. [ Note: Free PDF certificate as soon as completing Heating, Ventilation & Air Conditioning (HVAC) Technician Course] Heating, Ventilation & Air Conditioning (HVAC) Technician This Heating, Ventilation & Air Conditioning (HVAC) Technician Course consists of 06 modules. Who is this course for? Heating, Ventilation & Air Conditioning (HVAC) Technician Course Take advantage of the Heating, Ventilation & Air Conditioning (HVAC) Technician Course if you want to hone your abilities while preparing for the career you want! Requirements Heating, Ventilation & Air Conditioning (HVAC) Technician Course To enrol in this Take advantage of the Heating (HVAC) Technician Course if you want to hone your abilities while preparing for the career you want! Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Heating (HVAC) Technician Course. Be energetic and self-motivated to complete our Heating (HVAC) Technician Course. Basic computer Skill is required to complete our Heating (HVAC) Technician Course. If you want to enrol in our Heating (HVAC) Technician Course, you must be at least 15 years old. Career path Heating, Ventilation & Air Conditioning (HVAC) Technician Course Our Heating, Ventilation & Air Conditioning (HVAC) Technician Course provides a privilege in the HVAC technician, HVAC engineer, HVAC sales representative, and other relevant sectors with a handsome salary.

Overview Use the very latest technology to design and optimise products or components through 2D or 3D rendering and boost your career potential. This Level 5 CAD Designer Training course will teach you how to set-up CAD (Computer-Aided Design) methods and take your designing skills to the next level. Engineering work and product design ordinarily make use of technically advanced planning practises, and this CAD training will ensure you are entirely up to date. You will be taught how to choose and utilise appropriate CAD software and work through conceptual designing by integrating detailed models into the planning and manufacturing processes. 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 Level 5 CAD Designer Training. It is available to all students, of all academic backgrounds. Requirements Our Level 5 CAD Designer Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum • CAD Module 01: Introduction to CAD Design • CAD Module 02: CAD Designer Career in the United Kingdom • CAD Module 03: Basics for CAD Design - Part 1: • CAD Module 04: Basics for CAD Design - Part 2: • CAD Module 05: 2D Shape in CAD • CAD Module 06: 3D Shape in CAD • CAD Module 07: Geometry and Modelling • CAD Module 08: Assemblies in CAD Design • CAD Module 09: Extrusion and Rotations • CAD Module 10: Blending Operations in CAD • CAD Module 11: Grids and Regular Polygons • CAD Module 12: Parameters in Civil Drawing • CAD Module 13: Introduction to AutoCAD • CAD Module 14: Introduction to T-Flex CAD • CAD Module 15: Introduction to SolidWorks • CAD Module 16: Introduction to FreeCAD • CAD Assignment - Level 5 CAD Designer Training

About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 3 Days 18 CPD hours This course is intended for This course is intended for solutions architects, solution-design engineers, developers seeking an understanding of AWS architecting and individuals seeking the AWS Solutions Architect-Associate certification. Overview Identify AWS architecting basic practices. Explore using the AWS management tools: The AWS Console, Command Line Interface (CLI), and CloudFormation in a lab environment. Examine the enforcement of accounts security using policies. Identify the elements that build an elastic, secure, virtual network that includes private and public subnets. Practice building an AWS core networking infrastructure. Determine strategies for a layered security approach to Virtual Private Cloud (VPC) subnets. Identify strategies to select the appropriate compute resources based on business use-cases. Practice building a VPC and adding an Elastic Cloud Compute (EC2) instance in a lab environment. Practice installing an Amazon Relational Database Service (RDS) instance and an Application Load Balancer (ALB) in the VPC you created. Compare and contrast AWS storage products and services, based on business scenarios. Compare and contrast the different types of AWS database services based on business needs. Practice building a highly available, auto-scaling database layer in a lab. Explore the business value of AWS monitoring solutions. Identify the role of monitoring, event driven load balancing, and auto scaling responses, based on usage and needs. Identify and discuss AWS automation tools that will help you build, maintain and evolve your infrastructure. Discuss network peering, VPC endpoints, gateway and routing solutions based on use-cases. Discuss hybrid networking configurations to extend and secure your infrastructure. Discuss the benefits of microservices as an effective decoupling strategy to power highly available applications at scale. Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment. Identify the business and security benefits of AWS serverless services based on business examples. Practice building a serverless infrastructure in a lab environment. Discuss the ways in which AWS edge services address latency and security. Practice building a CloudFront deployment with an S3 backend in a lab environment. Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity. Build a highly available and secure cloud architecture based on a business problem, in a project-based facilitator-guided lab. Architecting on AWS is for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud. Architectural solutions differ depending on industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions, based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned with confidence. Prerequisites AWS Cloud Practitioner Essentials classroom or digital training, or Working knowledge of distributed systems Familiarity with general networking concepts Familiarity with IP addressing Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 0 - Introductions & Course Map review Welcome and course outcomes 1 - Architecting Fundamentals Review AWS Services and Infrastructure Infrastructure Models AWS API Tools Securing your infrastructure The Well-Architected Framework Hands-on lab: Explore Using the AWS API Tools to Deploy an EC2 Instance 2 - Account Security Security Principals Identity and Resource-Based Policies Account Federation Introduction to Managing Multiple Accounts 3 - Networking, Part 1 IP Addressing Amazon Virtual Private Cloud (VPC), Patterns and Quotas Routing Internet Access Network Access Control Lists (NACLs) Security Groups 4 - Compute Amazon Elastic Cloud Compute (EC2) EC2 Instances and Instance Selection High Performance Computing on AWS Lambda and EC2, When to Use Which Hands-On Lab: Build Your Amazon VPC Infrastructure 5 - Storage Amazon S3, Security, Versioning and Storage Classes Shared File Systems Data Migration Tools 6 - Database Services AWS Database Solutions Amazon Relational Database Services (RDS) DynamoDB, Features and Use Cases Redshift, Features, Use Cases and Comparison with RDS Caching and Migrating Data Hands-on Lab: Create a Database Layer in Your Amazon VPC Infrastructure 7 - Monitoring and Scaling Monitoring: CloudWatch, CloudTrail, and VPC Flow Logs Invoking Events 8 - Automation CloudFormation AWS Systems Manager 9 - Containers Microservices Monitoring Microservices with X-Ray Containers 10 - Networking Part 2 VPC Peering & Endpoints Transit Gateway Hybrid Networking Route 53 11 - Serverless Architecture Amazon API Gateway Amazon SQS, Amazon SNS Amazon Kinesis Data Streams & Kinesis Firehose Step Functions Hands-on Lab: Build a Serverless Architecture 12 - Edge Services Edge Fundamentals Amazon CloudFront AWS Global Accelerator AWS Web Application Firewall (WAF), DDoS and Firewall Manager AWS Outposts Hands-On Lab: Configure an Amazon CloudFront Distribution with an Amazon S3 Origin 13 - Backup and Recovery Planning for Disaster Recovery AWS Backup Recovery Strategie Additional course details: Nexus Humans Architecting on AWS 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 Architecting on AWS 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.

About this training Decarbonization of the Upstream Oil & Gas sector has previously been based on inter-fuel competition. Market actions were seen as the most effective method for reducing the level of emissions. However, the pace of decarbonization is now being led by government policy acting in concert with a coalition of stakeholders such as investors and consumers. The primary focus of this pathway is on the management of carbon emissions to both mitigate and adapt to climate change. Some energy analysts have forecast that global production of oil and natural gas will have to decline annually by 4 to 6 percent in order to meet the global target of Net Zero Emissions by 2050. Oil and gas producers face a difficult challenge in deciding upon the strategy and measures that will best achieve targets set for them while maintaining supply, attracting investments and accessing markets. This 2-day training course will provide participants with an understanding of the strategies and measures for decarbonizing the Upstream Oil and Gas sector within the framework of measures implemented by individual governments through their respective commitments to reduce emissions to achieve their National Determined Contribution under the Paris Agreement. This course offers a unique opportunity to understand the rapidly increasing issues confronting the industry as well as the options for the management of carbon emissions to comply with corporate as well as national policies and the implementation of measures for controlling, reporting and verification. Training Objectives Upon completion of this course, participants will be better equipped to participate in the implementation of measures for the management of carbon emissions in the following areas: Implementation of measures for reducing carbon emissions Establishing systems for monitoring and reporting carbon emissions Evaluating the commerciality of discoveries Reviewing and strategizing future field development plans Meeting Environmental Obligations Target Audience This course has been specifically designed for professionals involved in the international oil and gas industry, whether employed a field operator, national oil company, or government. It offers a unique opportunity to rapidly increase your understanding of the issues confronting the industry as well as the options for the management of carbon emissions to comply with corporate as well as national policies and the implementation of measures for controlling, reporting and verification. Staff with the following roles will find this course particularly useful: Corporate Planners Project Engineers Financial Analysts Environmental Specialists Legal Advisors Regulatory & Compliance Officers Course Level Basic or Foundation Trainer Your expert course leader is an international legal expert in petroleum law who has been listed in the Guide to the World's Leading Energy and Natural Resources Lawyers. In his thirty years of practice, he has been the lead negotiator and acquisitions advisor for oil and gas companies in the US and the Asia-Pacific. These transactions have included both upstream (licences and leases) and downstream (refineries and pipelines) assets. He has been appointed as Distinguished Visiting Professor in Oil and Gas at the University of Wyoming and Honorary Professor at the Centre for Energy, Petroleum & Mineral Law & Policy (CEPMLP) at Dundee University. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00