3161 Engineering courses in Newark-on-Trent delivered Online

Overview With the ever-increasing demand for Big Data Analytics in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics may be. Learning about Big Data Analytics or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Big Data Analytics course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Big Data Analytics course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Big Data Analytics course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Big Data Analytics , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Big Data Analytics , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Big Data Analytics course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1_ Introduction to Big Data. Introduction to Big Data. 00:00 Module 2_ Hadoop and MapReduce. Hadoop and MapReduce. 00:00 Module 3_ NoSQL Databases. NoSQL Databases. 00:00 Module 4_ Data Storage and Retrieval. Data Storage and Retrieval. 00:00 Module 5_ Data Processing with Spark. Data Processing with Spark. 00:00 Module 6_ Data Analysis with Hadoop and Pig. Data Analysis with Hadoop and Pig. 00:00

🎙️ Unlock Your Audiobook Success with 'Mastering Audiobook Production and Distribution on Amazon ACX' 📚 Are you an aspiring author, narrator, or publisher looking to amplify your reach and revenue through the booming audiobook industry? Look no further! Introducing our comprehensive online course:   🚀 Mastering Audiobook Production and Distribution on Amazon ACX 🚀   🎧 Why Audiobooks? Why Now? The audiobook industry is skyrocketing, with millions of listeners hungry for captivating stories and knowledge on the go. With our step-by-step guide, you'll tap into this lucrative market and transform your written content into a captivating auditory experience.   💡 What You'll Learn: ACX Demystified: Navigate the Amazon ACX platform with ease, understanding its intricacies and maximizing your potential. Professional Narration Techniques: Learn the secrets of engaging narration that keeps listeners hooked from the first word to the last. Audio Editing Mastery: Discover industry-standard tools and techniques to polish your recordings and create a professional-sounding product. Effective Production Strategies: Streamline your workflow, saving time and resources without compromising on quality. Navigating Royalties and Contracts: Ensure you get the compensation you deserve while understanding the legalities and contracts associated with audiobook production. Marketing and Distribution Tactics: Develop a robust marketing plan to propel your audiobook to the top of Amazon charts and reach a wider audience.   📈 Why Choose Our Course? ✅ Expert-Led Instruction: Our instructors are seasoned professionals in the audiobook industry, offering insider tips and strategies. ✅ Practical Hands-On Learning: Apply your newfound knowledge with practical exercises that reinforce each module. ✅ Lifetime Access: Enjoy unlimited access to course materials and updates, ensuring you stay ahead in this dynamic industry. ✅ Exclusive Community: Connect with fellow learners, exchange insights, and receive ongoing support from a community dedicated to your success.   🌟 Enroll Now and Transform Your Writing Into Captivating Audiobooks! Don't miss your chance to dominate the audiobook market. Join 'Mastering Audiobook Production and Distribution on Amazon ACX' today and turn your words into a passive income stream! Course Curriculum Basic Overview 00:00 Signing Up for An ACX Account 00:00 ACX Requirements Page 00:00 Hiring A Narrator 00:00 Equipment Needed to Create Your Own Audio 00:00 Layout of Your Manuscript 00:00 Things to Remember When You're Recording 00:00 Recording Your Manuscript 00:00 Recording and Editing Your Manuscript 00:00 Processing Your Edits 00:00 Opening Credit_Closing_Credits 00:00 Audio Sample Creation 00:00 Claim and Upload Process 00:00 Claim and Upload Process - Part 2 00:00 Claim and Upload Process - Part 3 - Cover Art 00:00 Claim and Upload Process - Part 4 - Final 00:00 Start Your Author Central Account and Claim Your Book 00:00 Your Author Page - Part 1 00:00 Your Author Page - Part 2 00:00 Conclusion 00:00 Advanced Overview 00:00 Should I Use Rebrandable Content or PLR 00:00 Tools Needed 00:00 Stripping The Video Into Audio 00:00 Breaking Your Existing Audio Into Chapters 00:00 Narration and Edit of Chapter Headers 00:00 Noise Removal and Ending of Sounds 00:00 Saving the Chapter Project File 00:00 Rendering of Audios 00:00 Transcription of Audio 00:00 Edit Transcription 00:00 Kindle Upload 00:00 Edit and Publish on Kindle 00:00 Using a PSD Template for Kindle 00:00 Blog For Your Author Central Page 00:00 Your Influencer Page - Part 1 00:00 Your Influencer Page - Part 2 00:00 Run an Amazon Giveaway 00:00 Promotional Bounties 00:00 Conclusion 00:00

Overview   With the ever-increasing demand for Tableau in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Tableau may be.   Learning about Tableau or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Tableau. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Tableau is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Diploma in Data Analytics In Tableau course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Diploma in Data Analytics In Tableau course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Diploma in Data Analytics In Tableau course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Tableau, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Tableau, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Tableau, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Diploma in Data Analytics In Tableau course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 01_ Data Analytics Data Analytics 00:00 Module 02_ Why Use Tableau for Data Analytics Why Use Tableau for Data Analytics 00:00 Module 03_ Getting Started With Tableau Getting Started With Tableau 00:00 Module 04_ Tableau Data Source (TDS) Tableau Data Source (TDS) 00:00 Module 05_ Tableau Worksheets Tableau Worksheets 00:00 Module 06_ Tableau Calculations Tableau Calculations 00:00 Module 07_ Tableau Sort _ Filters Tableau Sort _ Filters 00:00 Module 08_ Tableau Charts Tableau Charts 00:00 Module 09_ Tableau Advanced Tableau Advanced 00:00

Product Overview: Aviation Law and Regulation (UK Standard) Welcome to the comprehensive guide to Aviation Law and Regulation tailored specifically to the United Kingdom standards. This meticulously crafted resource offers an in-depth exploration of key modules crucial for understanding the legal framework governing aviation operations in the UK.   1. Introduction to Aviation Law and Regulation in the UK: Embark on a journey through the foundations of aviation law in the UK. Explore the historical context, legal principles, and regulatory bodies shaping the aviation industry. From the Civil Aviation Authority (CAA) to international agreements, this module lays the groundwork for a nuanced understanding of UK aviation law. 2. Safety and Security Regulations in Aviation: Safety and security are paramount in the aviation sector. Delve into the intricate web of regulations designed to ensure the safety of passengers, crew, and assets. From risk management strategies to emergency response protocols, this module equips professionals with the knowledge needed to navigate safety and security challenges effectively. 3. Licensing and Certification: Unlock the complexities of licensing and certification procedures governing aviation personnel, aircraft, and operators. Gain insights into the rigorous standards and regulatory requirements essential for obtaining and maintaining licenses in compliance with UK aviation laws. 4. Air Traffic Services: Navigate the intricacies of air traffic management and control within the UK airspace. Explore the role of air traffic services providers, airspace classification, and regulatory frameworks governing air traffic flow. This module offers valuable insights into optimizing airspace utilization while ensuring operational efficiency and safety. 5. Airport Regulation: Journey through the regulatory landscape governing airport operations and infrastructure development in the UK. From terminal facilities to ground handling services, explore the legal frameworks shaping airport management, expansion projects, and passenger rights. Gain a comprehensive understanding of the regulatory challenges and opportunities within the dynamic airport environment. 6. Environmental Regulation in Aviation: Addressing environmental concerns is integral to sustainable aviation practices. Explore the evolving landscape of environmental regulations impacting air transport, including emissions standards, noise pollution mitigation, and sustainable aviation fuel initiatives. This module provides valuable insights into navigating environmental compliance while fostering eco-friendly aviation practices.   Key Features: Comprehensive coverage of UK-specific aviation law and regulation. Expert insights from industry professionals and legal experts. Practical case studies and real-world scenarios for enhanced understanding. Interactive resources and supplementary materials for continuous learning. Updated content reflecting the latest regulatory developments and best practices.   Equip yourself with the knowledge and expertise needed to thrive in the dynamic world of aviation law and regulation. Whether you're a seasoned professional or a newcomer to the field, our resource promises to be your indispensable companion in navigating the complexities of UK aviation law with confidence and competence.   Unlock the full potential of your aviation career with 'Aviation Law and Regulation (UK Standard)' - your trusted guide to legal excellence in the skies. Course Curriculum Module 1: Introduction to Aviation Law and Regulation in the UK Introduction to Aviation Law and Regulation in the UK 00:00 Module 2: Safety and Security Regulations in Aviation Safety and Security Regulations in Aviation 00:00 Module 3: Licensing and Certification Licensing and Certification 00:00 Module 4: Air Traffic Services Air Traffic Services 00:00 Module 5: Airport Regulation Airport Regulation 00:00 Module 6: Environmental Regulation in Aviation Environmental Regulation in Aviation 00:00

Introducing the 'Diploma in Aviation Human Factors and Crew Resource Management'   Unlock the keys to safer and more efficient aviation operations with our comprehensive Diploma program in Aviation Human Factors and Crew Resource Management (CRM). This specialized curriculum is meticulously crafted to equip aviation professionals with the critical knowledge and skills necessary to enhance safety, minimize human error, and optimize crew performance.   Module 1: Introduction to Aviation Human Factors and CRM Embark on your journey with a solid foundation in the principles of Aviation Human Factors and Crew Resource Management. Understand the fundamental concepts that shape the interaction between humans and aviation systems. This module lays the groundwork for the subsequent specialized topics, setting the stage for a holistic approach to safety and efficiency in the aviation industry.   Module 2: Organizational Factors in Aviation Human Factors and CRM Delve into the organizational aspects that influence human performance in aviation. Learn how organizational structures, culture, and management practices impact crew dynamics and overall safety. Develop strategies to create a culture that fosters open communication, accountability, and continuous improvement.   Module 3: Human Factors in Aviation Accidents and Incidents Examine real-world case studies to gain insights into the role of human factors in aviation accidents and incidents. Analyze the contributing factors and develop a deep understanding of how human errors can lead to adverse outcomes. Equip yourself with the knowledge to identify potential risks and implement proactive measures to prevent incidents.   Module 4: Crew Resource Management Master the art of effective team collaboration with a focus on Crew Resource Management. Explore communication techniques, leadership skills, and teamwork strategies essential for optimizing crew performance in diverse and challenging aviation environments. Acquire the tools to mitigate conflicts and enhance decision-making within the crew.   Module 5: Situational Awareness Sharpen your ability to perceive, comprehend, and project situational awareness in dynamic aviation scenarios. Understand the factors that influence situational awareness and learn to maintain a high level of awareness to make timely and informed decisions. Cultivate the skills necessary to stay ahead of the complexities inherent in aviation operations.   Module 6: Decision Making Navigate the complexities of decision-making in aviation with a focus on critical thinking and problem-solving. Develop the ability to make sound decisions under pressure and uncertainty. Explore decision-making models and scenarios that are relevant to the aviation industry, ensuring that you are well-prepared to handle challenges with confidence.   Why Choose Our Diploma Program? Expert Faculty: Learn from industry experts and experienced professionals who bring real-world insights to the classroom. Interactive Learning: Engage in practical simulations, case studies, and interactive exercises to reinforce theoretical knowledge. Global Recognition: Enhance your credentials with a diploma that is recognized globally, opening doors to career opportunities worldwide. Career Advancement: Equip yourself with the skills and knowledge demanded by the aviation industry, positioning yourself for career growth and advancement.   Enroll in our Diploma in Aviation Human Factors and Crew Resource Management today and elevate your career to new heights. Safety, efficiency, and excellence await! Course Curriculum Module 1_ Introduction to Aviation Human Factors and CRM Introduction to Aviation Human Factors and CRM 00:00 Module 2_ Organizational Factors in Aviation Human Factors and CRM Organizational Factors in Aviation Human Factors and CRM 00:00 Module 3_ Human Factors in Aviation Accidents and Incidents Human Factors in Aviation Accidents and Incidents 00:00 Module 4_ Crew Resource Management Crew Resource Management 00:00 Module 5_ Situational Awareness Situational Awareness 00:00 Module 6_ Decision Making Decision Making 00:00

Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins

Overview A 1-day course on inflation-linked bonds and derivatives, focusing on the UK market in particular. We examine how inflation is defined and quantified, the choice of index (RPI vs. CPI), and the most common cash flow structures for index-linked securities. We look in detail at Index-linked Gilts, distinguishing between the old-style and new-style quotation conventions, and how to calculate the implied breakeven rate. Corporate bond market in the UK, and in particular the role of LPI in driving pension fund activity. Inflation swaps and other derivatives, looking at the mechanics, applications and pricing of inflation swaps and caps/floors. The convexity adjustment for Y-o-Y swaps is derived intuitively. Who the course is for Front-office sales Product control Research Traders Risk managers Fund managers Project finance and structured finance practitioners Accountants, auditors, consultants Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Overview 2 day applied course with comprehensive case studies covering both Standardized Approach (SA) and Internal Models Approach (IMA). This course is for anyone interested in understanding practical examples of how the sensitivities-based method is applied and how internal models for SES and DRC are built. Who the course is for Traders and heads of trading desks Market risk management and quant staff Regulators Capital management staff within ALM function Internal audit and finance staff Bank investors – shareholders and creditors Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Overview This 2-day programme covers the latest techniques used for fixed income attribution. This hands-on course enables participants to get a practical working experience of fixed income attribution, from planning to implementation and analysis. After completing the course you will have developed the skills to: Understand how attribution works and the value it adds to the investment process Interpret attribution reports from commercial systems Assess the strengths and weaknesses of commercially available attribution software Make informed decisions about the build vs. buy decision Present results in terms accessible to all parts of the business Who the course is for Performance analysts Fund and portfolio managers Investment officers Fixed Income professionals (marketing/sales) Auditors and compliance Quants and IT developers Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.