1723 Analytics courses in London delivered Online

Duration 1 Days 6 CPD hours This course is intended for This course is aimed at users with the Tableau CRM license who need to build effective lenses and dashboards for their business users to explore their data. It may also be of interest to users who are connecting and integrating this data, to understand how it is used in the lens and dashboard building process. Overview Build and manage apps in Tableau CRM Design a dashboard based on requirements, and create a dashboard template Create and add lenses to build a dashboard Optimize a dashboard for mobile use Ready to start building in Tableau CRM? In this course, you?ll find out how to design and create an effective dashboard layout to help viewers quickly find their way around. You?ll learn how to build lenses and add them into your dashboards using the Tableau CRM Dashboard Designer. Once you?ve created a dashboard, you?ll also learn how to optimize the dashboard for mobile. Finally you?ll also learn how to organize your lenses and dashboards using apps and ensure that only the right users have access to them.Looking for Tableau classes? Check out the Tableau catalog here. Managing Apps, Lenses, Dashboards, and Datasets Overview of building and managing apps Building an app Manage apps, lenses, dashboards, and datasets Designing a Dashboard and Creating a Template Dashboard Building Overview Designing a Dashboard Create a dashboard template Building a Dashboard Building a Dashboard Adding Charts, Tables, and KPIs to a Dashboard Adding Filters to a Dashboard Modify a Dashboard for Mobile Translating Desktop Dashboards to a Mobile Device Creating/Updating Mobile Dashboard Layouts

From beginner to expert, this course will help you advance your career using Microsoft Excel skills.

A special focus will be put on advanced MS Excel tips and tricks for career advancement in this course.

Overview This comprehensive course on Excel PowerQuery and PowerPivot will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Excel PowerQuery and PowerPivot comes with accredited certification from CPD, 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 Excel PowerQuery and PowerPivot. It is available to all students, of all academic backgrounds. Requirements Our Excel PowerQuery and PowerPivot 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 3 sections • 28 lectures • 01:50:00 total length •pivot table power query power pivot - 1: 00:09:00 •pivot table power query power pivot - 2: 00:01:00 •pivot table power query power pivot - 3: 00:02:00 •pivot table power query power pivot - 4: 00:03:00 •pivot table power query power pivot - 5: 00:01:00 •pivot table power query power pivot - 6: 00:04:00 •pivot table power query power pivot - 7: 00:08:00 •pivot table power query power pivot - 8: 00:05:00 •pivot table power query power pivot - 9: 00:03:00 •pivot table power query power pivot - 10: 00:04:00 •pivot table power query power pivot - 11: 00:04:00 •pivot table power query power pivot - 12: 00:02:00 •pivot table power query power pivot - 13: 00:03:00 •pivot table power query power pivot - 14: 00:05:00 •pivot table power query power pivot - 15: 00:02:00 •pivot table power query power pivot - 16: 00:03:00 •pivot table power query power pivot - 17: 00:03:00 •pivot table power query power pivot - 18: 00:08:00 •pivot table power query power pivot - 19: 00:02:00 •pivot table power query power pivot - 20: 00:04:00 •pivot table power query power pivot - 21: 00:05:00 •pivot table power query power pivot - 22: 00:09:00 •pivot table power query power pivot - 23: 00:04:00 •pivot table power query power pivot - 24: 00:03:00 •pivot table power query power pivot - 25: 00:04:00 •pivot table power query power pivot - 26: 00:09:00 •Resources - Excel PowerQuery and PowerPivot: 00:00:00 •Assignment - Excel PowerQuery and PowerPivot: 00:00:00

Master the art of project planning with our Dynamic Excel Gantt Chart and Timelines course. Learn to create and manage dynamic Gantt charts and timelines. Ideal for project managers, data analysts, and business professionals. Enrol today!

Duration 2 Days 12 CPD hours This course is intended for New users of IBM SPSS Statistics Users who want to refresh their knowledge about IBM SPSS Statistics Anyone who is considering purchasing IBM SPSS Statistics Overview Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables. Introduction to IBM SPSS Statistics Review basic concepts in IBM SPSS Statistics Identify the steps in the research process Review basic analyses Use Help Reading data and defining metadata Overview of data sources Read from text files Read data from Microsoft Excel Read data from databases Define variable properties Selecting cases for analyses Select cases for analyses Run analyses for groups Apply report authoring styles Transforming variables Compute variables Recode values of categorical and scale variables Create a numeric variable from a string variable Using functions to transform variables Use statistical functions Use logical functions Use missing value functions Use conversion functions Use system variables Use the Date and Time Wizard Setting the unit of analysis Remove duplicate cases Create aggregate datasets Restructure datasets Merging data files Add cases from one dataset to another Add variables from one dataset to another Enrich a dataset with aggregated information Summarizing individual variables Define levels of measurement Summarizing categorical variables Summarizing scale variables Describing the relationship between variables Choose the appropriate procedure Summarize the relationship between categorical variables Summarize the relationship between a scale and a categorical variable Creating presentation ready tables with Custom Tables Identify table layouts Create tables for variables with shared categories Create tables for multiple response questions Customizing pivot tables Perform Automated Output Modification Customize pivot tables Use table templates Export pivot tables to other applications Working with syntax Use syntax to automate analyses Create, edit, and run syntax Shortcuts in the Syntax Editor Controlling the IBM SPSS Statistics environment Set options for output Set options for variables display Set options for default working folders Additional course details: Nexus Humans 0G53BG IBM SPSS Statistics Essentials (V26) 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 0G53BG IBM SPSS Statistics Essentials (V26) 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.

Fraud should not happen, but it does. It can happen at the highest to lowest levels in an organisation. Recent surveys show that incidents of fraud are not decreasing. Fraud costs companies money and, perhaps even more importantly, reputational damage. The losers are not just the shareholders, suppliers, customers, etc, but society as a whole. This programme shows why frauds happen, how organisations put themselves at risk and what they can do to prevent it. This programme will help directors and others understand: The motives for committing fraud Directors' responsibilities for identifying and reporting fraud What types of frauds there are How frauds are perpetrated How they can be prevented How regulators deal with fraud Above all, the principal objective of this programme is to help make your organisation as secure as possible from the threat of fraud. 1 Motives for committing fraud - drivers of fraud Session objective: to understand why people might commit fraud Drivers of fraudulent behaviourAmbitionGreedTheftConceit? And more! 2 Accounting mechanisms that allow fraud Session objective: to review the elements of the accounting, internal control and management processes that allow creative accounting Income or liability? Asset or expense? Coding errors and misclassification Netting off and grossing up Off-balance sheet items 3 Structures that allow fraud Session objective: to consider company and trading structures that allow frauds to be perpetrated Group structures Trading structures Tax havens Importing and exporting 4 Interpretations and other non-compliance that allow fraud Session objective: to look at how creative interpretations of law and accounting practice may permit fraud The place of accounting standards Accounting policies Trading methods The place of auditing standards 5 Money laundering Session objective: to review what constitutes money laundering Types of money laundering Identifying laundering Preventing laundering 6 Preventing fraud - proper management structures Session objective: to review the place of proper corporate governance Corporate governance Company management structure Audit committees The place of internal audit 7 Preventing fraud - proper accounting Session objective: to review best accounting and auditing practice Accounting standards Internal accounting policies Adequacy of internal controls Internal audit 8 Preventing fraud - regulation Session objective: to look at how regulators aim to prevent fraud The regulatory environment Financial services regulation 9 Conclusion Course review Open forum Close 10 Course summary - developing your own cost action plan Group and individual action plans will be prepared with a view to participants identifying their cost risks areas and the techniques which can be immediately applied to improve costing and reduce costs

Unlock the power of data with our 'Sales Analysis in Excel' course. Dive into e-commerce sales analysis and craft insightful sales analysis reports. Discover how to manipulate sales data, forecast trends, and automate workbook functionality. Elevate your career with advanced Excel skills! Learning Outcomes of Sales Analysis in Excel: Master data manipulation techniques for e-commerce sales analysis. Create comprehensive sales reports with Excel's advanced functions. Visualize data effectively using charts, PivotTables, and PivotCharts. Forecast future trends and make data-driven decisions. Automate repetitive tasks to boost efficiency and productivity. Why buy this Sales Analysis in Excel? 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 Sales Analysis in Excel 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? Business analysts seeking to enhance their data analysis skills. Sales professionals aiming to leverage Excel for deeper insights. Aspiring data scientists interested in e-commerce sales data. Students and graduates looking to gain a competitive edge. Entrepreneurs striving to optimize their sales strategies. Prerequisites This Sales Analysis in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Sales Analysis in Excel 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 Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £50,000 Per Annum Sales Analyst: £25,000 - £45,000 Per Annum Financial Analyst: £30,000 - £55,000 Per Annum Market Research Analyst: £25,000 - £40,000 Per Annum Excel Specialist: £22,000 - £35,000 Per Annum Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Welcome to the Course 00:03:00 Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00

This course will fully prepare you for virtually any Excel-related career path

An insightful, enjoyable and experiential programme to help you analyse data and information and make a balanced decision based upon sound commercial reasoning. It will enable you to identify options, make decisions and take actions based on a thorough analysis combined with instinct and intuition to make a positive effect on profitability. This programme will help you: Identify ways to analyse data and sort relevant from irrelevant information Develop analytical and numerate thinking, and consider the financial implications of a decision Make decisions based on sound commercial reasoning - a mix of intuition and analysis Select from a range of tools to analyse a situation and apply these effectively Understand how costs and profits are calculated Use tried-and-tested techniques to manage and control your budgets Appreciate the fundamentals of financial analysis Focus on the bottom line Identify the basics of capital investment appraisal for your business Evaluate results and seek opportunities for improvement to your business 1 The commercial environment What do shareholders and investors want? What do managers want? Profit v non-profit organisations Investor expectations 2 Financial and non-financial information Risk and reward considerations Drivers of commercial decisions 3 Running a business A practical exercise to bring financial statements to life Different stakeholder interests in a business The impact and consequences of decisions on financial statements 4 Where do I make a difference to the organisation? How can I contribute to an improved business performance? Key performance indicators - measuring the right things A 'balanced scorecard' approach - it's not all about money! 5 A 'balanced scorecard' approach Analysing and reviewing my contribution to the business direction What is the current focus of my commercial decisions? Developing the business in the right way - getting the balance right! Where should/could it be in the future? Do my decisions support the overall vision and strategy? 6 Making commercial decisions Left-brain and right-brain thinking Convergent and divergent thinking Analysis and instinct Interactive case study exercise - emotional and rational decisions Reflection - what is my style of making decisions 7 Let's consider the customer! Identifying target markets Differentiating propositions and products Customer service considerations Marketing considerations and initiatives Pricing strategies and considerations 8 Strategic analysis The external environment The internal environment LEPEST analysis SWOT analysis Forecasting Group activity - analysing markets and the competition How do these improve your decisions? 9 Comparing performance Analysing key financial ratios Ways to compare performance and results Break-even analysis 10 Profit and loss accounts and budgeting Managing income and expenditure The budgeting process How does this link to the profit and loss account? Managing and controlling a cost centre/budget The role of the finance department Different ways of budgeting Incremental budgeting Zero-based budgeting 11 Understanding the balance sheet Purpose of balance sheets Understanding and navigating the content What does a balance sheet tell you? How do you affect your balance sheet? Links to the profit and loss account A practical team exercise that brings financial statements to life 12 Business decisions exercise How does this improve your decisions? A practical exercise to apply new knowledge and bring commercial thinking to to life The impact and consequences of decisions on financial statements 13 Working capital Why is this important? The importance of keeping cash flowing Business decisions that affect cash Calculating profit 14 Capital investment appraisal Capex v Opex Payback Return on investment The future value of money The concept of hurdle rate 15 Lessons learned and action planning So what? Recap and consolidation of learning The decisions that I need to consider Actions to achieve my plan