3141 Development courses in Bristol delivered Live Online

A sales manager's role has more to do with the ability to lead, mentor, and motivate a sales team to achieve or exceed an organisation's sales goals. This programme concentrates on these skills and behaviours enhancing their existing skills to new levels through the sales management process.

  This training course is designed to help participants acquire the knowledge and skills needed to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a cloud security program based on ISO/IEC 27017 and ISO/IEC 27018. It provides a comprehensive elaboration of cloud computing concepts and principles, cloud computing security risk management, cloud-specific controls, cloud security incident management, and cloud security testing. About This Course   Learning objectives   Gain a comprehensive understanding of the concepts, approaches, methods, and techniques used for the implementation and effective management of a cloud security program  Acknowledge the correlation between ISO/IEC 27017, ISO/IEC 27018, and other standards and regulatory frameworks Gain the ability to interpret the guidelines of ISO/IEC 27017 and ISO/IEC 27018 in the specific context of an organization Develop the necessary knowledge and competence to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a cloud security program Acquire the practical knowledge to advise an organization in managing a cloud security program by following best practices Course Agenda   Day 1: Introduction to ISO/IEC 27017 and ISO/IEC 27018 and the initiation of a cloud security program Day 2: Cloud computing security risk management and cloud-specific controls Day 3: Documented information management and cloud security awareness and training Day 4: Cloud security incident management, testing, monitoring, and continual improvement; the examination Additional Information   Certification fees are included in the exam price. An attendance record worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. In case candidates fail the exam, they can retake it within 12 months of the initial attempt for free. Accreditation Prerequisites   The main requirement for participating in this training course is having a fundamental understanding of ISO/IEC 27017 and ISO/IEC 27018 and a general knowledge of cloud computing concepts. Who Should Attend?   Cloud security and information security professionals seeking to manage a cloud security program Managers or consultants seeking to master cloud security best practices Individuals responsible for maintaining and managing a cloud security program Technical experts seeking to enhance their cloud security knowledge Cloud security expert advisors What's Included?   Delegates will be provided with; Course Slide deck Participant Guide Exam fees Our Guarantee   We are an Accredited Training Provider of IECB. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam. Assessment   The Certified Lead Cloud Security Manager exam meets the requirements of the National Accreditation Service's Examination and Certification Program (ECP). It covers the following competency domains:   Domain 1: Fundamental principles and concepts of cloud computing Domain 2: Information security policy for cloud computing and documented information management Domain 3: Cloud computing security risk management Domain 4: Cloud-specific controls based on ISO/IEC 27017 and ISO/IEC 27018 and best practices Domain 5: Cloud security awareness, training, roles, and responsibilities Domain 6: Cloud security incident management Domain 7: Cloud security testing, monitoring, and continual improvement   All delegates attending an official training course will be offered the opportunity to sit the associated examination. To pass the examination, a passing score of 70% must be obtained by answering 12 essay type questions covering the scope of the course materials. Successful examination candidates will be issued with a Certificate confirming a passing grade along with the relevant CPD certificate.  Provided by   This course is Accredited by NACS and Administered by the IECB

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

Leading Internal Quality Assurance; Leading IQA

About this Virtual Instructor Led Training (VILT)  Accredited by the United Kingdom Lubricants Association (UKLA), this 4 half-day Virtual Instructor Led Training (VILT) course will provide an in-depth understanding of the principles, economics and flexibility of lubricant blending plants and how to operate a lubricants blending plant efficiently and economically. The latest developments and trends in lubricant blending and the advantages and disadvantages of lubricant blending equipment, facilities and operations will be discussed. The importance of testing components and products for each blend, lubricant blend quality control and product quality management will also be explained. The VILT course will also clarify the importance of lubricant product filling, packaging and warehouse storage, strategies for optimising existing lubricant blending plant facilities and how to avoid or minimise problems with lubricant blending and product quality. The VILT course is recognised under the UKLA Continuing Professional Development (CPD) scheme for Registered Lubricant Professional. *There will be an examination for this VILT.   Training Objectives This VILT course will enable you to: Learn about Mineral Oil Base Oils; API Groups I, II and III: Properties and Characteristics Acquire the knowledge about Synthetic Base Oils; API Groups IV and V: Properties and Characteristics Learn about Lubricant Additives: Properties and Characteristics Know the Lubricant Formulation and Ease of Blending Explore the Blending Plant Design: Grassroots Plants and Upgrading Existing Plants Learn about Blending Plant Equipment and Facilities and Their Operation Understand the Lubricant Blending Issues: Avoiding Problems Test and Analyse Base Oils and Additives Test and Analyse Blended Lubricants Explore the importance of Product Quality Control Understand the process of Lubricant Packaging and Filling Understand the process of Lubricant Storage Learn about Product Quality Management Target Audience This VILT course will be useful and applicable for: Middle and Senior managers to understand how and why to design and operate an efficient and profitable lubricant blending plant. Blending plant operators and specialists to improve and optimise current blending plant operations. Manufacturers of lubricants will understand how and why high quality components and effective testing during the entire blending process are important to final lubricant product quality and performance. Lubricant formulators will understand the importance of close communication and co-operation with blending plant managers and operators to minimise blending costs and to thereby maximise product profitability. Course Level Intermediate Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Your expert course leader (CChem, MRC) has worked as Sales, Technical Marketing Manager and Company Director with over 50 years of broad experience in the lubricants, fuels, petroleum additives, with four leading companies Chevron, Ethyl Petroleum Additives Ltd, Texaco Limited and Kuwait Petroleum (GB) Ltd. His major recent responsibilities have been concerned with leading the Oil Industry Association United Kingdom Lubricants Association, and acting in an advisory capacity as Technical Director to the Association. He has acquired a wide experience in technical, marketing and sales within the oil industry. The related experience gained with the oil additives industry has provided him with special additional insights. He has also led the Certificate of Lubricant Competence course for the United Kingdom Lubricants Association (UKLA) for 11 years. He is a Chartered Chemist and a Member of the Royal Society of Chemistry. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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.

Overview There are many companies that have designed a creative environment for their employees to help them relax and spark creative thinking to enhance the performance of the people working in the organisation. The creative way help boost the mind of the employees and thereby generate a positive attitude. This course will help organizations to do regular brainstorming sessions when working on a project to allow employees to contribute and build on a project. This will create an immense engagement as their team members are involved in the creative process.

Guided Teaching Practice (20 Hours – 8 Sessions – 4 Days)

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 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 The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

Project Estimating and Scheduling: Virtual In-House Training Establishing realistic estimates and goals for projects that support business objectives and meet client expectations is one of the most challenging aspects of project planning. Delivering those results within the agreed-upon time, cost, and quality constraints is also challenging. Attempting to meet impossible deadlines with limited budgets often leads to unplanned product shortfalls, causing long-term support and utilization problems. We have all anguished about this recurring problem, but without having the skills or knowledge to take action, we are unable to break the cycle! The goal of this course is for you to be able to support business objectives and meet client expectations by selecting the right planning approach for realistic and cost effective schedules, as well as project budgets. To achieve that, you will focus on gaining the necessary knowledge, skills, and techniques. What You Will Learn At the end of this program, you will be able to: Use the work breakdown structure (WBS) as the basis for effective estimating of project resources Estimate effort and duration using a variety of techniques Develop preliminary schedules using the critical path method Apply a variety of optimization techniques to refine preliminary schedules Establish realistic schedule and cost baselines, with appropriate contingency reserves Explain how earned value management (EVM) contributes to control time and cost performance Foundation Concepts Project management basic definitions and concepts PES Key driver: competing constraints PES Process and success factors Project Definition and the WBS Project definition overview Work Breakdown Structure (WBS) Decomposition: WBS development technique Resource Planning Resource planning overview Identifying resource requirements Identifying and filling resource gaps Applying resource planning tools Effort and Duration Estimating Estimating overview Estimating perspectives and approaches Estimating techniques Effort and duration estimating best practices Project Scheduling Overview of project scheduling Dependencies and the project network diagram Critical path method (CPM) Optimizing the schedule Budget, Risk, and Contingency Planning Overview of budget, risk, and contingency planning Estimating costs Determining the budget Project risk management processes Planning contingency reserves Project Baseline and Control Overview of project baseline Negotiating and the project baseline Earned value management (EVM) Project variances and actions Project control