466 Analyst courses delivered Live Online

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

Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance

Diploma in Data Analysis Fundamentals Course Overview The Diploma in Data Analysis Fundamentals provides a comprehensive introduction to the core principles and techniques used in data analysis. Throughout this course, learners will explore various data analysis tools and methods, such as Pareto charts, histograms, and control charts, to gain insights into processes and performance. By focusing on key data analysis skills, including identifying variation and interpreting results, this course empowers learners to use data-driven approaches to improve business processes. Upon completion, learners will have the ability to assess and present data effectively, enabling informed decision-making in a wide range of industries. Course Description This course covers essential topics in data analysis, including the principles of process management, tools for data analysis, and methods to interpret and present performance data. Learners will delve into key techniques such as Pareto charts, histograms, run charts, and control charts, focusing on how to use these tools to identify patterns, variations, and areas for improvement. The course also includes a structured approach to performance measurement and provides exercises to reinforce the theoretical knowledge gained. By the end of the course, learners will be equipped with the skills to analyse data, identify trends, and contribute to process improvement initiatives within their organisations. Diploma in Data Analysis Fundamentals Curriculum Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to improve decision-making through data insights. Beginners with an interest in process improvement and business analysis. Data enthusiasts looking to build a solid foundation in analysis techniques. Career Path Data Analyst Business Intelligence Analyst Process Improvement Specialist Operations Analyst Quality Control Analyst

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Duration 1 Days 6 CPD hours This course is intended for Security operations personnel, including analysts and incident responders Overview By the end of the course, you should be able to meet the following objectives: Utilize Carbon Black EDR throughout an incident Implement a baseline configuration for Carbon Black EDR Determine if an alert is a true or false positive Fully scope out an attack from moment of compromise Describe Carbon Black EDR capabilities available to respond to an incident Create addition detection controls to increase security This course teaches you how to use the VMware Carbon Black© EDR? product during incident response. Using the SANS PICERL framework, you will configure the server and perform an investigation on a possible incident. This course provides guidance on using Carbon Black EDR capabilities throughout an incident with an in-depth, hands-on, scenariobased lab. Course Introduction Introductions and course logistics Course objectives VMware Carbon Black EDR & Incident Response Framework identification and process Preparation Implement the Carbon Black EDR instance according to organizational requirements Identification Use initial detection mechanisms Process alerts Proactive threat hunting Incident determination Containment Incident scoping Artifact collection Investigation Eradication Hash banning Removing artifacts Continuous monitoring Recovery Rebuilding endpoints Getting to a more secure state Lessons Learned Tuning Carbon Black EDR Incident close out

Course Overview The "Microsoft Excel Complete Course" is designed to equip learners with the essential skills to master Microsoft Excel, one of the most widely used tools in data analysis and business operations. This course covers a comprehensive range of topics, including Excel's new features, formula creation, data visualisation, and workbook management. It offers practical knowledge that will help learners work more efficiently, whether they are managing large datasets, analysing trends, or presenting information. By the end of this course, learners will be confident in using Excel for various business tasks, gaining a strong foundation for further professional development. Course Description This course covers all key aspects of Microsoft Excel, from the basics to advanced techniques. Learners will explore Excel’s new features in the 2019 version, as well as how to perform calculations, modify worksheets, and apply formatting. The course delves into functions, lists, and data analysis tools, including PivotTables and charts. Learners will also learn how to work with multiple worksheets and workbooks, use lookup functions, and automate workbook functionality. With a focus on essential Excel tools and techniques, learners will gain the ability to efficiently manage and analyse data for business or personal use. Course Modules Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Office Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Working with Functions Module 09: Working with Lists Module 10: Analyzing Data Module 11: Visualizing Data with Charts Module 12: Using PivotTables and PivotCharts Module 13: Working with Multiple Worksheets and Workbooks Module 14: Using Lookup Functions and Formula Auditing Module 15: Sharing and Protecting Workbooks Module 16: Automating Workbook Functionality Module 17: Creating Sparklines and Mapping Data Module 18: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to improve their data management and analysis skills. Professionals aiming to enhance their productivity in Excel for business applications. Beginners with an interest in data analysis or office administration. Anyone looking to build a strong foundation in Excel for career advancement. Career Path Data Analyst Financial Analyst Office Administrator Project Manager Business Analyst Operations Manager Administrative Assistant HR Specialist

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Excel 2016 Formulas and Functions Course Overview: This course is designed to provide learners with a comprehensive understanding of Excel 2016 formulas and functions. By covering essential tools and techniques, the course enables learners to confidently navigate the Excel environment and utilise formulas for data analysis, calculations, and reporting. With a focus on both fundamental and advanced functions, learners will gain the skills needed to streamline their tasks and improve efficiency in the workplace. The course’s practical value lies in its application across various industries, allowing professionals to enhance their data handling and reporting capabilities, making it an invaluable addition to any skill set. Course Description: The "Excel 2016 Formulas and Functions" course covers the core concepts of using Excel formulas and functions to manage and analyse data. It starts with the basics, such as SUM, AVERAGE, and IF functions, before advancing to more complex tools like VLOOKUP and conditional formatting.Through each module, learners will explore how to use these features to automate calculations, create dynamic reports, and manipulate datasets. The course offers a structured approach to mastering Excel, with clear guidance on how to use each function effectively in a business context. Learners will come away with the knowledge to work more efficiently in Excel, enabling them to make informed data-driven decisions and enhance productivity. Excel 2016 Formulas and Functions Curriculum: Module 01: Getting Started with Microsoft Excel 2016 Module 02: Basic Formulas and Functions Module 03: Formulas and Functions Activities (See full curriculum) Who is this course for? Individuals seeking to improve their Excel skills Professionals aiming to enhance their data analysis capabilities Beginners with an interest in data management and analysis Any other individuals looking to gain proficiency in Excel Career Path: Data Analyst Administrative Assistant Financial Analyst Business Analyst Project Coordinator

Who is this course suitable for? Required to undertake asbestos fibre counting as part of their work Considering a career in asbestos analysis Responsible for managing asbestos analysts Prior Knowledge and Understanding Candidates for this course are expected to be aware of HSG 248 Asbestos: The Analysts' Guide (July 2021), and in particular Appendix 1, Fibres in air: sampling and evaluation of by phase contrast microscopy. Candidates will preferably have prior experience of analysing fibre count samples and may already be participating in a quality control scheme. In addition, candidates are expected to have had training to cover the core competencies outlined within the foundation material detailed within Table A9.1 of HSG248 Asbestos: The Analysts' Guide (July 2021). This may be achieved by In -house learning or through the P400 foundation module.

Excel Vlookup, Xlookup, Match and Index Course Overview: This comprehensive course covers essential Excel functions such as VLOOKUP, XLOOKUP, MATCH, and INDEX, which are integral for efficient data management and analysis. Learners will gain a clear understanding of how to use these functions to simplify complex data tasks, enhance productivity, and improve decision-making. Throughout the course, students will master how to search, match, and retrieve data from large datasets, preparing them for real-world scenarios in finance, marketing, HR, and more. The course is designed to equip learners with the necessary skills to perform advanced Excel functions with confidence, contributing to their professional growth and data analysis expertise. Course Description: In this course, learners will explore the powerful functions of Excel, including VLOOKUP, XLOOKUP, MATCH, and INDEX, enabling them to perform efficient data searches, cross-referencing, and information retrieval. The course includes step-by-step lessons on how to apply these functions to real-world datasets, making it highly relevant for anyone working with large volumes of data. Learners will become proficient in building dynamic spreadsheets that streamline decision-making processes and improve data accuracy. Additionally, this course emphasises problem-solving techniques, empowering individuals to handle complex data-related tasks with ease. By the end of the course, learners will have a strong command of these Excel functions, boosting their data management and analytical capabilities. Excel Vlookup, Xlookup, Match and Index Curriculum: Module 01: Excel VLOOKUP Module 02: Excel XLOOKUP Module 03: Excel MATCH Module 04: Excel INDEX Module 05: Advanced VLOOKUP Techniques Module 06: Combining VLOOKUP, MATCH, and INDEX Module 07: Practical Applications of XLOOKUP (See full curriculum) Who is this course for? Individuals seeking to enhance their Excel skills for data analysis. Professionals aiming to improve their data management capabilities. Beginners with an interest in learning advanced Excel functions. Anyone looking to improve their problem-solving abilities in data-heavy tasks. Career Path: Data Analyst Financial Analyst Marketing Analyst HR Specialist Business Intelligence Specialist Excel Expert for Administrative or Management Roles