56 Numbers courses in Manchester

About this Virtual Instructor Led Training (VILT)  A decision to drill an exploration well with the objective to find a new oil or gas field must be based on sound assessment of the prospect risk and of the volumes. What is the chance that a well will find hydrocarbons, and how much could it be? Risk and volume assessments form the basis for decisions to drill a well or not, and as such form the link between subsurface evaluation and the business aspects of the petroleum industry. This Virtual Instructor Led Training (VILT) course explains how risks and volumes can be assessed in a realistic manner, based on a sound understanding of the geological details of the prospect as well as its regional geological setting and current play understanding. Participants of this VILT course will receive a softcopy of Risk and Volume Assessment Handbook which explains the concepts that are associated with probabilistic Risk & Volume (R & V) Assessment and contains many practical recommendations on how to translate geological understanding into meaningful inputs for probabilistic R &V assessments. The book is fully compatible with any probabilistic R & V tool in the industry. Training Objectives By the end of this VILT course, participants will be able to understand: The fundamentals of risk and volumes assessment; translating geological understanding into reasonable numbers and ranges. The difference between risk and uncertainty. Fundamentals of statistics; including explanation of distribution curves, understanding of expectation curves, do's and don'ts for adding risked volumes, and Bayes theorem. Uncertainty of trap, reservoir, seal and charge, illustrated by examples. Guidelines and exercises for estimating risks realistically and consistently. Calculating volume ranges for prospects and for portfolios of prospects; how to add prospect volumes for a correct representation of prospect portfolios. Incorporation of geophysical evidence (DHIs) in a realistic risk assessment. Target Audience This VILT course has been designed in the first place for geoscientists working in exploration, for prospect portfolio analysts and for their direct supervisors. It will also benefit staff from disciplines working closely with exploration staff, such as reservoir engineers, petrophysicists and geophysicists. Course Level Intermediate Training Methods Learning, methods and tools The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. It is the intention to have at least 2 smaller exercises per day. Time will be reserved for recapitulation, questions and discussions. VILT will be conducted either via Zoom or Microsoft Teams. Presenting materials can easily be done on this platform. When participants need to ask a question, they can raise their hand, write notes or interrupt the Instructor by using their microphone. The presenter can switch to a screen where he/she can see all participants (also when each participant is sitting in another location e.g. at home). There is also a whiteboard functionality that can be used as one would use a flip chart. Exercises will be done on an online platform which provides each participant with a private work area that can be accessed by the Instructor to discuss the exercise in a similar manner as in a classroom course. Each topic is introduced by a lecture, and learning is re-enforced by practical exercises and discussions. Handout material in electronic format will be provided. Trainer Dr. Jan de Jager has a PhD in Geology from the University of Utrecht. He joined Shell in 1979 as an exploration geologist, and worked in several locations around the world such as Netherlands, Gabon, USA, Australia, Argentina, and Malaysia in technical and management positions. During the last 10 years of his career, he was responsible for the quality assurance of Shell's exploration prospects in many parts of the world and for upgrading and replenishing Shell's global exploration portfolio. During this period, he had also developed extensive expertise in Prospect Risk and Volume assessments for which he ran successful internal training programmes. Following his retirement from Shell in 2010, Dr Jan de Jager took on a position as part-time professor at the University of Amsterdam and also serves as a consultant exploration advisor for various E&P companies. 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

Leadership is about 'getting stuff done'. This course concentrates on just that. In a complicated world, it helps leaders to ensure that the right stuff gets done at the right time and in the right way.

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Power BI is a powerful data visualisation program that allows businesses to monitor data, analyse trends, and make decisions. This course is designed to provide a solid understanding of the reporting side of Power BI, the dashboards, where administrators, and end users can interact with dynamic visuals that communicates information. This course focuses entirely on the creation and design of visualisations in dashboards, including a range of chart types, engaging maps, and different types of tables. Designing dashboards with KPI's (key performance indicators), heatmaps, flowcharts, sparklines, and compare multiple variables with trendlines. This one-day programme focuses entirely on creating dashboards, by using the many visualisation tools available in Power BI. You will learn to build dynamic, user-friendly interfaces in both Power BI Desktop and Power BI Service. 1 Introduction Power BI ecosystem Things to keep in mind Selecting dashboard colours Importing visuals into Power BI Data sources for your analysis Joining tables in Power BI 2 Working with data Utilising a report theme Table visuals Matrix visuals Drilling into hierarchies Applying static filters Group numbers with lists Group numbers with bins 3 Creating visuals Heatmaps in Power BI Visualising time-intelligence trends Ranking categorical totals Comparing proportions View trends with sparklines 4 Comparing variables Insert key performance indicators (KPI) Visualising trendlines as KPI Forecasting with trendlines Visualising flows with Sankey diagrams Creating a scatter plot 5 Mapping options Map visuals Using a filled map Mapping with latitude and longitude Mapping with ArcGIS or ESRI 6 Creating dashboards High-level dashboard Migration analysis dashboard Adding slicers for filtering Promote interaction with nudge prompts Searching the dashboard with a slicer Creating dynamic labels Highlighting key points on the dashboard Customised visualisation tooltips Syncing slicers across pages 7 Sharing dashboards Setting up and formatting phone views Exporting data Creating PDF files Uploading to the cloud Share dashboards in SharePoint online

This one-day course focuses on issues such as writing formulas and accessing help while writing them, and taking formulas to the next level by nesting one inside another for a powerful formula result. It also looks at ways of analysing data with reports, summarised by varying criteria. A range of time-saving tips and tricks are shared. This course will help participants: Calculate with absolute reference Group worksheets Link to tables Use the function library effectively Get to grips with the logical IF function Use conditional formatting Create pivot table reports Use data validation Master the VLOOKUP function 1 Calculating with absolute reference The difference between a relative and absolute formula Changing a relative formula to an absolute Using $ signs to lock cells when copying formulas 2 Grouping worksheets Grouping sheets together Inputting data into multiple sheets Writing a 3D formula to sum tables across sheets 3 Linking to tables Linking to a source table Using paste link to link a table to another file Using edit links to manage linked tables 4 The function library Benefits of writing formulas in the function library Finding the right formula using insert function Outputting statistics with COUNTA and COUNTBLANK Counting criteria in a list with COUNTIFS 5 Logical IF Function Outputting results from tests Running multiple tests for multiple results The concept of outputting results from numbers 6 Conditional formatting Enabling text and numbers to standout Applying colour to data using rules Managing rules Copying rules with the format painter 7 View side by side Comparing two Excel tables together Comparing two sheets together in the same file 8 Pivot table reports Analysing data with pivot tables Managing a pivot table's layout Outputting statistical reports Controlling number formats Visualising reports with pivot charts Inserting slicers for filtering data 9 Data validation Restricting data input with data validation Speeding up data entry with data validation 10 VLOOKUP function Best practices for writing a VLOOKUP A false type lookup A true type lookup Enhance formula results with IFNA 11 Print options Getting the most from print Printing page titles across pages Scaling content for print

This is an essential programme for any member of staff whose role requires a high level of attention to detail. The focus is specifically on the handling of text and data, whether at the input stage or when collating information into reports and documents for use by others. The session looks at both prevention and cure. For 'prevention', it focuses on understanding how common errors occur and on developing an awareness of the factors which influence our level of attentiveness. It introduces key psychological theories around attentiveness including the 'capacity' and 'bottleneck filter' models. And it looks at how working styles can affect attention to detail. For 'cure', the programme looks at how to minimise the effect of stress on concentration as well as introducing a number of tools and techniques for promoting accuracy - at both the input and the checking stages. Particular attention is paid to proof-reading techniques. By the end of the session, participants will: Appreciate why errors occur Understand how stress and other factors can affect focus and accuracy Know how to improve accuracy and reduce errors when handling text and data Be able to proof-read text and number-based documents more accurately 1 The importance of accuracy The impact of mistakes Why accuracy is so important Main reasons why errors occur 2 Attentiveness theory The 'capacity' and 'bottleneck filter' models Selective attention Chunking - big picture / little picture 3 Preparing for accuracy Working styles - how they affect detail-orientation Identifying and minimising the impact of stress on concentration 4 Practical strategies How to improve accuracy and reduce errors when inputting text Managing interruptions and distractions Proofing text and numbers

Severe allergic reactions (anaphylaxis) can kill without immediate first aid. The UK is one of the top countries in the world for incidence of allergies. This course covers the management of anaphylaxis and the use of auto-injectors for the initial treatment of anaphylaxis.

This one-day workshop is designed to give you an awareness of the fundamentals of Microsoft Excel and, in particular, to give you the confidence needed to efficiently create, edit and manage spreadsheets. This course will help participants: Create tables Use functions Manage rows and columns Write formulas Manage sheets Use content formats Handle larger tables Create reports and charts 1 Creating a table Creating an Excel table from scratch Wrapping text in cells Speeding up data entry using AutoFill Sorting columns 2 Inserting function Inserting function calculators Using AutoSum to sum numbers Statistical calculations AVERAGE, MAX and MIN 3 Table rows and columns Inserting and deleting rows and columns Adjusting multiple column widths and row heights Hiding and unhiding rows and columns 4 Formula writing The basics of formula writing Understanding mathematical symbols Using multiple mathematical symbols in a formula When to use brackets Troubleshooting calculation errors 5 Managing sheets Inserting, renaming, moving and deleting sheets Copying a worksheet to another file Copying a table to another sheet 6 Managing content formats Applying data formats Managing number formats Controlling formats with the Format Painter 7 Managing larger tables Applying freeze panes to lock tables when scrolling Sorting on multiple columns Using filters to extract table information 8 Creating and modifying charts Creating a pie chart Creating a column chart Inserting chart titles and data labels Controlling chart formatting Changing chart types 9 Printing Previewing and printing tables and charts Modifying page orientation Adjusting print margins Printing a selection 10 Calculating with absolute reference The difference between a relative and absolute formula Changing a relative formula to an absolute Using $ signs to lock cells when copying formulas 11 Pivot tables Create a pivot table report Insert a pivot chart into a report

This course starts with data transformation strategies, exploring capabilities in the Power Query Editor, and data-cleansing practices. It looks at the Advanced Query Editor to view the M language code. This course focuses on advanced DAX measures that include filtering conditions, with a deep dive into time intelligence measures. Like the M query language, DAX is a rich functional language that supports variables and expression references. This course also looks at the creation of dynamic dashboards and incorporates a range of visualisations available in Power BI Desktop and online in the AppSource. The course finishes with a look at setting up end user level security in tables. 1 The query editor Split by row delimiter AddDays to determine deadlines Advanced query editor 2 Fuzzy matching joins Matching inconsistencies by percentage Matching with transformation table 3 Logical column functions Logical functions IF, AND, OR Using multiple conditions Including FIND in functions 4 Editing DAX measures Make DAX easier to read Add comments to a measure Using quick measures 5 The anatomy of CALCULATE Understanding CALCULATE context filters Adding context to CALCULATE with FILTER Using CALCULATE with a threshold 6 The ALL measure Anatomy of ALL Create an ALL measure Using ALL as a filter Use ALL for percentage 7 DAX iterators Anatomy of iterators A closer look at SUMX Using RELATED in SUMX Create a RANKX RANKX with ALL 8 Date and time functions Overview of functions Create a DATEDIFF function 9 Time intelligent measures Compare historical monthly data Create a DATEADD measure Creating cumulative totals Creating cumulative measures Visualising cumulative totals 10 Visualisations in-depth Utilising report themes Create a heatmap Comparing proportions View trends with sparklines Group numbers using bins Setting up a histogram 11 Comparing variables Visualising trendlines as KPI Forecasting with trendlines Creating a scatter plot Creating dynamic labels Customised visualisation tooltips Export reports to SharePoint 12 User level security Setting up row level security Testing user security