3175 Engineering courses in Bedlington delivered Online

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Introduction to Integration and Administration Oracle Data Integrator: Introduction Oracle Data Integrator Repositories Administering ODI Repositories Create and connect to the Master Repository Export and import the Master Repository Create, connect, and set a password to the Work Repository ODI Topology Concepts ODI Topology: Overview Data Servers and Physical Schemas Defining Topology Agents in Topology Planning a Topology Describing the Physical and Logical Architecture Topology Navigator Creating Physical Architecture Creating Logical Architecture Setting Up a New ODI Project ODI Projects Using Folders Understanding Knowledge Modules Exporting and Importing Objects Using Markers Oracle Data Integrator Model Concepts Understanding the Relational Model Understanding Reverse-Engineering Creating Models Organizing ODI Models and Creating ODI Datastores Organizing Models Creating Datastores Constraints in ODI Creating Keys and References Creating Conditions Exploring Your Data Constructing Business Rules ODI Mapping Concepts ODI Mappings Expressions, Join, Filter, Lookup, Sets, and Others Behind the Rules Staging Area and Execution Location Understanding Knowledge Modules Mappings: Overview Designing Mappings Multiple Sources and Joins Filtering Data Overview of the Flow in ODI Mapping Selecting a Staging Area Configuring Expressions Execution Location Selecting a Knowledge Module Mappings: Monitoring and Troubleshooting Monitoring Mappings Working with Errors Designing Mappings: Advanced Topics 1 Working with Business Rules Using Variables Datasets and Sets Using Sequences Designing Mappings: Advanced Topics 2 Partitioning Configuring Reusable Mappings Using User Functions Substitution Methods Modifying Knowledge Modules Using ODI Procedures Procedures: Overview Creating a Blank Procedure Adding Commands Adding Options Running a Procedure Using ODI Packages Packages: Overview Executing a Package Review of Package Steps Model, Submodel, and Datastore Steps Variable Steps Controlling the Execution Path Step-by-Step Debugger Starting a Debug Session New Functions Menu Bar Icons Managing ODI Scenarios Scenarios Managing Scenarios Preparing for Deployment Using Load Plans What are load plans? Load plan editor Load plan step sequence Defining restart behavior Enforcing Data Quality with ODI Data Quality Business Rules for Data Quality Enforcing Data Quality with ODI Working with Changed Data Capture CDC with ODI CDC implementations with ODI CDC implementation techniques Journalizing Results of CDC Advanced ODI Administration Setting Up ODI Security Managing ODI Reports ODI Integration with Java

Overview This comprehensive course on Python for Data Analysis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Python for Data Analysis comes with accredited certification, 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 Python for Data Analysis. It is available to all students, of all academic backgrounds. Requirements Our Python for Data Analysis 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 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 19 sections • 99 lectures • 00:08:00 total length •Welcome & Course Overview: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:37:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method ..: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00 •Resources- Python for Data Analysis: 00:00:00

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Ideal for beginners, the Complete Java Developer Course: From Beginner to Master is designed to get you coding in Java as quickly and confidently as possible. You will learn all the theory behind the code, while also building some exciting portfolio projects such as Mad Libs clone, tic-tac-toe, and more.

This course has been put together specifically for people working in the oil industry, to learn how to go about finding new work. The course covers the activities that you should do to best position yourself to find new work. How to identify the companies that most suit your skills, how to see what skills they might need in the future, how to build trust with the people there and how to approach them to optimise your chance of being successful.

Duration 5 Days 30 CPD hours This course is intended for System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Describe the Cisco SD-WAN solution and how modes of operation differ in traditional WAN versus SD-WAN Describe options for Cisco SD-WAN cloud and on-premises deployment Explain how to deploy WAN Edge devices Review the Zero-Touch Provisioning (ZTP) process and examine technical specifics for on-premises deployment Review the device configuration template and describe new features of device configuration templates Describe options for providing scalability, high availability, and redundancy Explain how dynamic routing protocols are deployed in an SD-WAN environment, on the service side and transport side Describe Cisco SD-WAN policy concepts, which includes how policies are defined, attached, distributed, and applied Define and implement advanced control policies, such as policies for custom topologies and service insertion Identify and implement advanced data policies, such as policies for traffic engineering and QoS Define and implement an Application-Aware Routing (AAR) policy Implement Direct Internet Access (DIA) and Cisco SD-WAN Cloud OnRamp options Describe Cisco SD-WAN security components and integration Describe how to design pure and hybrid Cisco SD-WAN solutions, as well as how to perform a migration to Cisco SD-WAN Describe Cisco SD-WAN Day-2 operations, such as monitoring, reporting, logging, troubleshooting, and upgrading Describe Cisco SD-WAN support for multicast The Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 course gives you training about how to design, deploy, configure, and manage your Cisco© Software-Defined WAN (SD-WAN) solution in a large-scale live network, including how to migrate from legacy WAN to SD-WAN. You will learn best practices for configuring routing protocols in the data center and the branch, as well as how to implement advanced control, data, and application-aware policies. The course also covers SD-WAN deployment and migration options, placement of controllers, how to deploy WAN Edge devices, and how to configure Direct Internet Access (DIA) breakout. The course looks at the different Cisco SD-WAN security options available, such as application-aware enterprise firewall, Intrusion Prevention System (IPS), URL filtering, Cisco Advanced Malware Protection (AMP), Secure Sockets Layer/Transport Layer Security (SSL/TLS) proxy, and Cisco Umbrella© Secure Internet Gateway (SIG). This course helps you prepare to take the Implementing Cisco SD-WAN Solutions (300-415 ENSDWI) exam which is part of the CCNP© Enterprise certification. You will also earn 32 Continuing Education (CE) credits toward recertification. Course outline Examining the Cisco SD WAN Architecture Examining Cisco SD-WAN Deployment Options Deploying WAN Edge Devices Onboarding WAN Edge Devices with ZTP and PnP Using Device Configuration Templates Exploring Redundancy, High Availability, and Scalability Enabling Service-Side and Transport-Side Routing Understanding Cisco SD-WAN Policy Configuration Basics Defining Advanced Control Policies Implementing AAR Examining Direct Internet Access and Cloud Deployment Options Exploring Cisco SD-WAN Security Designing and Migrating to Cisco SD-WAN Performing Cisco SD-WAN Network Management and Troubleshooting Examining Cisco SD-WAN Multicast Support Lab outline Deploy Cisco SD-WAN Controllers Add a WAN Edge Router Using ZTP Deploy Cisco SD-WAN Device Using Configuration Templates Configure Cisco SD-WAN Controller Affinity Implement Service Side Routing Protocols Implement Transport Location (TLOC) Extensions Implement Control Policies Implement Data Policies Implement Application-Aware Routing Implement Branch and Regional Internet Breakouts Migrate Branch Sites Perform Cisco SD-WAN Software Upgrade Additional course details: Nexus Humans Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 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 Cisco Implementing Cisco SD-WAN Solutions (ENSDWI) v2.0 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.

Enhance your career with the Electrician: Electrical & PAT Testing Complete Bundle! Gain essential skills in electrical systems, safety regulations, and testing procedures to excel as an electrician in the UK. Enroll now!

Learn to build a complete Arduino project using a keypad, LCD, ultrasonic sensor, LDR sensor, and a buzzer

Delve into the dynamic world of digital exploration with our 'Introduction to Computers and Internet for Beginners' course. Tailored for newcomers, this comprehensive guide illuminates the fundamental pillars of computing, from efficient operating and troubleshooting to mastering quintessential applications. Experience a smooth transition as you acquaint yourself with varying Windows versions and fortify your knowledge base with vital cyber security protocols. By course completion, you'll confidently navigate the digital landscape, equipped with tools and understanding previously unimagined. Learning Outcomes Gain proficiency in computer operations and troubleshooting techniques. Utilise essential computer applications with adeptness. Establish a foundational understanding of tools and networking. Transition seamlessly between Windows 8 and the novel features of Windows 10. Uphold best practices for cyber security and online safety. Why choose this Introduction to Computers and Internet for Beginners course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Introduction to Computers and Internet for Beginners 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. Who is this Introduction to Computers and Internet for Beginners course for? Absolute beginners venturing into the digital domain. Adults aiming to modernise their tech skills. Students desiring a robust foundation in computing. Small business owners looking to manage digital operations. Individuals prioritising online safety and security. Career path Help Desk Support: £18,000 - £30,000 Computer Technician: £17,000 - £26,000 IT Support Specialist: £20,000 - £35,000 Network Administrator (Entry Level): £22,000 - £33,000 Application Support Analyst: £25,000 - £40,000 Cyber Security Analyst (Entry Level): £28,000 - £45,000 Prerequisites This Introduction to Computers and Internet for Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Introduction to Computers and Internet for Beginners was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01 : Computer Operating and Troubleshooting What is an Operating System 00:48:00 Configuring the Operating System 00:06:00 What is an Application 00:10:00 Using Control Panel 00:18:00 Hardware and Peripherals 00:07:00 Storage 00:12:00 Connectivity Devices 00:05:00 Network Components 00:09:00 Software and Concepts 00:11:00 Licensing 00:06:00 Using Software 00:07:00 Software Tools 00:10:00 Software 00:14:00 Hardware, Devices, and Peripherals 00:06:00 Backup and Restore 00:03:00 Module 02 : Key Applications Application Features 01:21:00 Working with Word Processing 00:44:00 Working with Spreadsheets 00:49:00 Making a Presentation 01:08:00 Databases 00:34:00 Collaboration 00:03:00 Module 03 : Tools & Networking Course Introduction 00:02:00 Web Browsers 00:47:00 Networking Terminology 00:35:00 E-mail 00:38:00 Communicating in the Modern World 00:14:00 Protecting Yourself 00:15:00 Web Searching 00:31:00 Protecting Yourself 00:31:00 Module 04 : Windows 8 for PC Identify Components of a Personal Computer IPU 00:08:00 Sign In to Windows 8 00:07:00 Signing In to Windows 8 and Managing Tiles 00:08:00 Navigate the Start Screen 00:18:00 Using the Account ID Menu 00:02:00 Access and Identify the Charms 00:03:00 Viewing the Charms 00:02:00 Modern Apps and Common Navigation Features 00:03:00 Navigating a Modern App 00:07:00 Multitasking with Apps 00:05:00 Working with Multiple Apps 00:05:00 Navigate the Desktop IPU 00:07:00 Navigating The desktop 00:07:00 Manage Files and Folders with File Explorer IPU 00:09:00 Managing Files and Folders 00:15:00 Elements of a Desktop Window 00:12:00 Working with the Elements of a Desktop Window 00:10:00 Creating and Modifying Files with Wordpad 00:14:00 Printing a Document 00:05:00 Navigate Internet Explorer 10 00:08:00 Navigating Internet Explorer 10 00:09:00 Browse the Web 00:12:00 Using Internet Explorer and Share 00:08:00 Customize the Start Screen 00:07:00 Creating Groups on the Start Screen 00:03:00 Changing PC Setting 00:07:00 Customize the Desktop IPU 00:09:00 Personalizing the Desktop 00:11:00 Set Privacy Levels and Passwords 00:05:00 Changing Your Password 00:05:00 Use Windows Defender IPU 00:05:00 Changing Windows Defender Settings 00:06:00 Store and Share Files with SkyDrive 00:03:00 Module 05 : Windows 10 - New Developments What Makes Windows 10 Different? 00:14:00 Primary Feature Overview 00:14:00 Navigating and Using Windows 10 00:36:00 Module 06 : Cyber Security Awareness Course Overview 00:14:00 Types of Security Threats 00:29:00 Social Engineering 00:30:00 Identity Theft 00:29:00 Data Classification 00:28:00 Types of Classifications 00:18:00 Protecting Your Digital Information 00:45:00 Password Management 00:13:00 Malware 00:17:00 Software Detection 00:28:00 Security from End-to-End 00:27:00 Secure E-mail Use 00:21:00 Secure Web Browsing 00:29:00 Piracy 00:16:00 Security Policies 00:17:00 Moving Forward 00:12:00

Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.