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Learn the fundamentals and advanced concepts of Apache Kafka in this course. This course will give you a good understanding of all the concepts through hands-on practice.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for business users and knowledge workers in a variety of roles and fields who have competence in a desktop-based installation of the Microsoft Office 2010, 2013, or 2016 edition of the Microsoft Office productivity suite, and who are now extending Microsoft Office to a collaborative cloud-based Office 365 environment. Overview In this course, you will build upon your knowledge of the Microsoft Office desktop application suite to work productively in the cloud-based Microsoft Office 365 environment. You will: Sign in, navigate, and identify components of the Office 365 environment. Create, edit, and share documents with team members using the Office Online apps, SharePoint, OneDrive© for Business, and Delve. Collaborate and work with colleagues using the Yammer and Planner apps. Use email and manage contacts with Outlook on the web. Collaborate using Teams. Configure Teams. This course introduces working with shared documents in the familiar Office 365 online apps?Word, PowerPoint©, and Excel©?as an alternative to installing the Microsoft© Office desktop applications. This course also introduces several productivity apps including Yammer?, Planner, and Delve© that can be used in combination by teams for communication and collaboration. Prerequisites Outlook - Part 1 PowerPoint - Part 1 Word 2016 - Part 1 Using Microsoft Windows 10 1 - GETTING STARTED WITH OFFICE 365 Topic A: Sign In to Office 365 Topic B: Navigate the Office 365 Environment 2 - COLLABORATING WITH SHARED FILES Topic A: Work with Shared Documents in SharePoint Topic B: Edit Documents in Office Online Topic C: Collaborate on the SharePoint Site Topic D: Work with OneDrive for Business and Delve 3 - USING PRODUCTIVITY APPS Topic A: Work with Productivity Apps in Combination Topic B: Broadcast Messages with Yammer Topic C: Manage Tasks with the Planner App 4 - USING OUTLOOK ON THE WEB Topic A: Send and Receive Email Topic B: Manage Contacts Topic C: Schedule Appointments Topic D: Personalize Outlook on the Web 5 - COLLABORATING WITH TEAMS Topic A: Overview of Microsoft Teams Topic B: Converse and Share in Teams Topic C: Call and Meet in Teams Topic D: Collaborate with Office 365 Apps and Teams 6 - CONFIGURING TEAMS Topic A: Configure Teams Topic B: Configure Channels Topic C: Configure Tabs

Embark on a journey to become a proficient Business Intelligence Analyst with the comprehensive course 'The Business Intelligence Analyst.' Delve into the world of data-driven decision-making, exploring the core concepts of Business Intelligence (BI), dashboard presentation systems, data mining techniques, and the vital role of data warehouses. Equip yourself with the skills to develop effective KPIs and design impactful dashboards for informed business insights. Learning Outcomes: Grasp the fundamental concepts of Business Intelligence and its significance in modern enterprises. Comprehend the decision-making process and the need for IT systems in supporting business choices. Explore the architecture and components of data warehouses, vital for data organization. Understand the intricacies of dashboard presentation systems and their varied applications. Identify different types of charts used in dashboards and their role in data visualization. Evaluate good dashboard design principles and implement Balanced Scorecard (BSC) strategies. Learn the basics of data mining, including classification, clustering, and association rules. Gain insights into real-world data mining applications across industries, such as banking and CRM. Why buy this The Business Intelligence Analyst Course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the The Business Intelligence Analyst Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This The Business Intelligence Analyst Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Aspiring Business Intelligence Analysts and Data Professionals. Individuals interested in leveraging data for strategic decision-making. Managers and Executives seeking to enhance business insights and performance. IT and Software Professionals exploring the field of Business Intelligence. Prerequisites This The Business Intelligence Analyst Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Business Intelligence Analyst - $65,000 to $95,000/year. Data Analyst - $60,000 to $90,000/year. Data Scientist - $80,000 to $120,000/year. BI Consultant - $70,000 to $110,000/year. Analytics Manager - $90,000 to $130,000/year Course Curriculum The Business Intelligence Analyst Course Module 01: What is Business Intelligence? 00:05:00 Module 02: Starting Case in understanding BI needs in diff phase of business 00:07:00 Module 03: Decision Making Process and Need of IT systems 00:20:00 Module 04: Problem Structure and Decision Support System 00:11:00 Module 05: Introduction to BI Applications 00:18:00 Module 06: Dashboard presentation systems 00:07:00 Module 07: Different Types of Charts used in 131 Dashboards 00:30:00 Module 08: Good Dashboard and BSC 00:13:00 Module 09: Examples of Bad Dashboards 1 00:07:00 Module 10: Examples of Bad Dashboards 2 00:01:00 Module 11: Process of KPI Development 00:26:00 Module 12: Overview of Data warehouse 00:08:00 Module 13: More explaining of data warehouse and steps in processing 00:09:00 Module 14: Data Warehouse Architecture -Tiers 00:18:00 Module 15: Data Warehouse - components 00:15:00 Module 16: Approach to develop data structure and Models of database 00:16:00 Module 17: Basics of Data Mining - Meaning 00:35:00 Module 18: Basics of Data Mining - Stages of DM 00:25:00 Module 19: Data Mining Technique - Classification 00:07:00 Module 20: Data mining - Clustering 00:02:00 Module 21: Data Mining - Association Rules 00:05:00 Module 22: Data Mining Applications - Banking 00:03:00 Module 23: Data Mining Applications - CRM 00:04:00 Module 24: Data Mining Applications - other industries 00:04:00 Assignment Assignment - The Business Intelligence Analyst Course 00:00:00

Health and Safety in a Construction Environment (Level 1) Approved Online Training

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

Create a well-structured pathway to optimized content by understanding how information architecture applies to user experience design.

From tackling cross-cutting project concerns with Spring to integrating Spring JDBC to work with databases, this course teaches you the essentials you need to know to confidently use the Spring framework container in the workplace.

Step confidently into a rewarding UK career with our transformative "Python Bootcamp: JavaScript, HTML & CSS Coding" bundle. This bundle covers everything from honing your Python proficiency to crafting interactive web designs with HTML and CSS and developing dynamic applications using JavaScript. Uncover the secrets of Python's application in data science, machine learning, and neural networks. Establish a strong foundation in C# coding and exploring networking, GUI development, XML handling, and more. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: The Complete Python 3 Course: Beginner to Advanced! Course 02: JavaScript for Everyone Course 03: HTML and CSS Coding: Beginner to Advanced Course 04: Basic C# Coding Course 05: Python Data Science with Numpy, Pandas and Matplotlib Course 06: Deep Learning & Neural Networks Python - Keras Course 07: Complete Python Machine Learning & Data Science Fundamentals Course 08: Python Programming Bible | Networking, GUI, Email, XML, CGI Our comprehensive Python Bootcamp: JavaScript, HTML & CSS Coding bundle ensure you're well-prepared for diverse tech challenges. Elevate your UK career prospects with hands-on learning and real-world applications. Embrace the "Python Bootcamp: JavaScript, HTML & CSS Coding" bundle for an all-encompassing skill set bound to make you a standout in the dynamic UK job landscape. Learning Outcomes Progress from beginner to advanced Python proficiency. Craft dynamic websites using HTML and CSS. Develop user-friendly web applications with JavaScript. Analyze data using Numpy, Pandas, and Matplotlib. Explore neural networks with Python's Keras. Gain practical machine learning expertise. Unleash your potential with our comprehensive Python Bootcamp: JavaScript, HTML & CSS Coding bundle that promises to transform your career trajectory. In the rapidly evolving tech landscape, Python proficiency stands as a cornerstone of success. From web development to data analysis and machine learning, Python is the language that opens doors to countless opportunities. Our Python Bootcamp: JavaScript, HTML & CSS Coding bundle ensures you learn and master Python, securing your place at the forefront of innovation. Harness the expertise of excellent instructors who unravel the complexities of Python in a relatable and engaging manner. Dive into dynamic web design, crafting seamless interfaces with HTML and CSS, and building interactive web applications using JavaScript.Take the plunge into deep learning, understanding the intricacies of neural networks through Python's Keras library. As you progress, embrace the fundamental principles of machine learning, propelling your career to new heights. The time to seize the moment is now. The "Python Bootcamp: JavaScript, HTML & CSS Coding" bundle equips you with indispensable skills, empowering you to stand out in a competitive job market. Whether a newcomer or a seasoned professional, this Python Bootcamp: JavaScript, HTML & CSS Coding bundle ensures you're ready to conquer challenges and grasp opportunities. Embrace the power of Python today, and let it shape a future of endless possibilities. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners to advanced learners. HTML, CSS, and JavaScript skills. Master Python programming. Numpy, Pandas, and data science. Diverse tech skill acquisition. Deep learning and machine learning Requirements Without any formal requirements, you can delightfully enrol in this course. Career path Web Developer: £25,000 - £50,000 Python Programmer: £30,000 - £60,000 Data Analyst: £25,000 - £45,000 Front-End Developer: £25,000 - £50,000 UI/UX Designer: £30,000 - £50,000 Machine Learning Engineer: £40,000 - £70,000 Full-Stack Developer: £35,000 - £60,000 Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99

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

About this training course This 5-days comprehensive training not only an introduction into the issue associated with the development of oil and gas fields but also provides an in depth understanding of the issues to be considered in the development of these fields. The theme throughout this training course is Flow Assurance and Innovative Technologies. Each day consists of lectures in the morning and a hands-on workshop in the afternoon. The workshop allows the participants to appreciate the design process associated with field developments. Various software will be available during the workshop to predict Multiphase flows through wells, pipelines and risers, as well as evaluating reservoir production profiles using alternative technologies to develop reservoirs. Further software to assess Surge and environmental safety will also be available. The field design approach will consider an integrated solution through modelling the reservoir decline, wells, flowlines, risers and the host facility. The participants will have a total appreciation of the methodology required to develop offshore oil and gas fields and have an understanding of all of the Flow Assurance issues and technology requirements. Training Objectives After the completion of this training course, participants will be able to: Understand the process required and identify data to analyse Flow Assurance for oil and gas fields. Examine and Identify the Flow Assurance issues required to be evaluated for oil and gas fields design. These include; Wax, Hydrates, Slugging, Corrosion, Sand Erosion, Scaling and Surge. Establish the studies to be undertaken for each area of Flow Assurance including 'Rules of Thumb' and software to be used. Prioritize the need for innovative methods and the technologies to solve Flow Assurance issues and the need for economics considerations. Appreciate the need for an integrated analysis of the oil and fields from the reservoir to the host processing facility. Gain an appreciation of the emerging and enabling technologies for offshore fields application. Dive deeper into the operational strategies requirements to mitigate Flow Assurance issues. Target Audience This training course is suitable and will greatly benefit the following specific groups: Reservoir Engineers Flow Assurance Engineers Thermodynamics Engineers Process and Chemical Engineers Pipeline Engineers Facilities Engineers Control and Subsea Engineers working in the Oil and Gas industries Engineers in other disciplines may attend that require an appreciation of Flow Assurance Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training Course delivery: This course is limited to a maximum of 20 participants only. A basic understanding of thermo-hydraulics would be advantageous. Morning Lectures and afternoon hands-on practical workshop. Special features: PC-based simulation software demonstration Workshop for hands-on training Course References & Additional resources: 'Flow Assurance for Oil and Gas Fields Production Transport', 1st Edition Handouts Pre & Post Assessment Trainer Your expert course leader is a renowned specialist in flow assurance management for the oil & gas field developments. His expertise enables him to support the operating and contracting companies as well as financial institutions regarding due diligence on offshore development investment decisions and associated operational system risks. Technical assessment of fields for acquisition and production enhancement opportunity. He possesses specialist expertise in evaluating difficult pipeline fluids transport such as Ethylene, Carbon Dioxide and Hydrogen through feasibility studies and technical reviews for clients. He has an exceptional academic background and natural leadership abilities are supported by practical experience of diverse projects worldwide, along with numerous publications at key conferences and publication of four books. Particular interests in developing novel and innovative technologies for subsea applications to solve difficult flow assurance problem areas and improve field development economics. He has worked on major industry projects including; Concorde aircraft fuelling system, the Channel Tunnel aerodynamics and the first deep water oil field development (Foinaven) in the West of Shetland. He is also currently developing a renewable energy solar farm and carbon neutral energy crop (Miscanthus) for domestic and commercial power generation application. He has developed in-house resources including specialist oil & gas field development evaluation software for subsea and onshore field infrastructure development options including; costing and financial analysis, reservoir viability, flow assurance assessment, subsea processing and boosting technologies, flow induced vibrations, surge analysis, heat transfer and chemical injection systems.