879 Microsoft Excel courses

Pivot tables are really very easy to create, but very powerful. By using Excel pivot tables, one can get very interesting and valuable business intelligence from your data in very little time. This short session aims to give you the techniques to use this valuable Excel tool creatively. It is enough time to learn a lot about Excel Pivot Tables, but there is very little time for other questions.

Overview This comprehensive course on Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query comes with accredited certification 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 Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 76 lectures • 06:08:00 total length •Course Outline and Introduction: 00:04:00 •Minimum Requirements for the Course: 00:01:00 •Prepayments Introduction: 00:01:00 •Month End Date Prepaid Expenses Amortization Calculation: 00:00:00 •Exact Prepaid Expenses Payment Date Calculation: 00:00:00 •Prepaid Expenses Accounting Definition: Prepayments: 00:03:00 •Prepaid Expense Example: How Accounting works for Prepayments: 00:03:00 •Advantages and Disadvantages of Prepaid Expenses: 00:03:00 •Introduction to PRO Excel Models and Formulas: 00:06:00 •Date Function: 00:05:00 •EOMONTH Function: 00:04:00 •DATEVALUE function: 00:03:00 •IF Function: 00:08:00 •IFS Function (Office 365 Only): 00:07:00 •VLOOKUP Function: 00:07:00 •MATCH Function: 00:05:00 •INDIRECT Function: 00:02:00 •NAMED Ranges: Name Manager: 00:03:00 •Advanced Version of VLOOKUP Function: 00:07:00 •Introduction to Model and Control Panel Tab (Important Sheet Tab): 00:08:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 1): 00:05:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 2): 00:06:00 •Formula Based Prepaid Expenses Model - Deep Dive (Part 3): 00:06:00 •IFS Function - Month End date Prepayment calculation: 00:04:00 •Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary): 00:09:00 •Protecting Formulas Cells and Fields in the Model: 00:04:00 •Exact Date Prepaid Amortisation calculation Intro: 00:03:00 •Formulas update and Model Changes for Exact Prepaid Exps Calculation: 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1): 00:04:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2): 00:03:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3): 00:02:00 •Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4): 00:07:00 •IFS Function - Exact Date Prepayments Amortisation: 00:04:00 •Data Validation Controls (Enhancing Data Input Controls with Protection): 00:10:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 1): 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (Part 2): 00:09:00 •Additional Material: Resources: 00:00:00 •Power Query and Pivot Table Prepayment Summary Table Intro: 00:06:00 •What is Power Query and Some Awesome Resources for Power Query learning: 00:07:00 •Power Query and Pivot Table Summary - Deep Dive (Part 1): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 2): 00:04:00 •Power Query and Pivot Table Summary - Deep Dive (Part 3): 00:05:00 •Power Query and Pivot Table Summary - Deep Dive (Part 4): 00:09:00 •Using Array Formulas to Add Formula Protection: 00:04:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1: 00:02:00 •Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2: 00:08:00 •Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version): 00:13:00 •Changing Macros Security in Excel: 00:05:00 •Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model: 00:06:00 •Bonus : New Version - Excel VBA Model for Prepayment Expenditure: 00:08:00 •Dynamic Dashboard Overview: 00:07:00 •Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets: 00:08:00 •Creating Dynamic Data Validation: 00:02:00 •Creating Named Ranges for Dynamic Table Arrays: 00:03:00 •Dynamic Date Column Headings for each Divisional PL Table: 00:02:00 •Dynamic Month and YTD Dashboard tables headings (PRO TIP): 00:03:00 •Dynamic VLOOKUP Formula - Preparing First section of the Dashboard: 00:04:00 •Creating Rolling Dashboard with Dynamic VLOOKUP Function: 00:08:00 •IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP): 00:03:00 •Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function): 00:05:00 •Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit: 00:05:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1): 00:03:00 •Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2): 00:06:00 •Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed: 00:05:00 •Understanding the data files before building dashboard: 00:02:00 •Consolidating Reports with Power Query (Get & Transform) , How to install PQ: 00:08:00 •Dynamic File Path Trick in Power Query with Parameters (Amazing trick): 00:06:00 •Conditional Cumulative totals with SUMIFS Function: 00:04:00 •Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code): 00:06:00 •Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise: 00:06:00 •Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast): 00:08:00 •Dashboard Creation - Line Charts: 00:08:00 •Update Dashboard with Additional Divisional Data with Few Click (Magical): 00:03:00 •Thank you: 00:02:00 •Ultimate Prepaid Expenditure Model (Super Bonus): 00:02:00 •Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query: 00:00:00

Ascend to the next level of Excel proficiency with our comprehensive Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course. This in-depth training will equip you with the skills to create sophisticated dashboards using advanced Excel formulas, VBA, and Power Query, empowering you to transform raw data into actionable insights. Master the art of financial modeling with our prepaid expenses models, learning how to calculate amortization schedules and create detailed summaries using Excel formulas. Delve into the power of Power Query to effortlessly manipulate and analyze large datasets, building dynamic dashboards without the limitations of formulas. Learning Outcomes Gain proficiency in creating automated dashboards using advanced Excel formulas, VBA, and Power Query Develop expertise in financial modeling using prepaid expenses models Master the calculation of amortization schedules and prepaid expenses summaries Implement Power Query to manipulate and analyze large datasets Create dynamic dashboards without the limitations of formulas Enhance your Excel skills and data analysis capabilities Why choose this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course for? Accounting and finance professionals seeking to enhance their Excel skills for financial modeling and dashboard creation Business analysts and data analysts aiming to expand their expertise in data manipulation and visualization Excel enthusiasts interested in mastering advanced Excel formulas, VBA, and Power Query Individuals seeking to create interactive and insightful dashboards for data-driven decision-making Anyone seeking to elevate their Excel skills and become a proficient data analyst Career path Financial Analyst (£35,000 - £55,000) Business Analyst (£40,000 - £60,000) Data Analyst (£45,000 - £65,000) Management Accountant (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Financial Analyst (£50,000 - £70,000) Prerequisites This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thank you Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Assignment Assignment - Microsoft Excel: Automated Dashboard Using Advanced Formula VBA Power Query 00:00:00

Advanced Microsoft Excel Training Course on Bookkeeping Microsoft Excel is the world's most popular spreadsheet program, learning how to use the software with Osborne Training shows that you've taken one of the best Excel training courses available. Comprehensive excel courses come with up to date material to practice at home and during your class. Excel Course Content Creating worksheets, formatting text Simple and complex formulas Handling rows and columns Average, max and min functions and using charts. Use of IF Formula Summing Techniques Cell References Formula Linking Tables and Bordering Look up References (Vlookup, Hlookup,etc) Data Validation Conditional Formatting Date & Time Formulas Charts & Graphs Protection & Security Creating Pivot Table Pivot Table Analysis

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Microsoft Excel® in Depth: In-House Training The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. This practical course provides a solid background of the features of Excel and a deeper understanding of its features, benefits and uses. This is not a beginner's course in Excel. You will learn some advanced features such as Pivot Tables, Charting, Tables, Sorting, Filtering and Functions. The goal of this course is to provide a deeper understanding of Excel and its intricacies and a new ability to use it efficiently producing the best solutions for your projects. What you Will Learn You'll learn how to: Use functions like IF, AVERAGE, SUMIF, SUMIFS, SUMPRODUCT, INDEX, MATCH, CHOOSE, DATE, and many more Create meaningful charts Use pivot tables Use Conditional Formatting, Data Validation Take advantage of using Named ranges, do sorting, filtering, tables Getting Started The building blocks of Excel, built-in functions, will be examined The basics of formatting your data will be examined Shortcuts and data manipulation will be explored Built-in features like those mentioned in the 'What you will learn' section above will be explored in detail Excel Functions - VLOOKUP, IF, INDEX, MATCH, CHOOSE, SUMIF, SUMIFS, SUMPRODUCT, DATE, so many more Using Named ranges, Data Validation, Sorting, and Filtering Learn the Name manager; Learn the difference between local and global names; Ensure correct access to linked workbooks; Ensure data accuracy; Learn how to use cascading data validation (for example, once a user chooses 'cars', another cell allows only Ford, Toyota, etc.); Sorting by more than 3 fields; Filtering by font, pattern, or value; See your data based on things like dates in the 3rd quarter, or fields where quantity x price is greater than some fixed value Conditional formatting and data formatting Make relevant data stand out Isolate highs and lows Make error cells invisible Learn about Data bars, Icon sets, and Color scales Highlight differences between worksheets Learn all the codes in the Format/Number list Using cell Styles Learn all about alignment, protection, borders, colors and more Pivot Tables Learn how to summarize large amounts of data with a few clicks Learn various ways of presenting the data Learn the various pivot table tools Learn how to customize and format a pivot table to suit your needs Learn how to group data Learn how to use the various options to present your data Charts Learn how to create a chart with one keystroke! Learn the 11 types of built-in charts Learn how to create a chart with one keystroke! Learn how to customize the charts to make the information tell the right story Learn how to use the design, layout, and formatting available to charts in Excel 2007 Learn embedded charts versus chart sheets Learn how to use modify all the pieces of a chart Array formulas Learn how to use the most powerful formulas in Excel Learn how to combine many formulas into one compact array-formula Learn the real power of these formulas and why regular formulas can't do the job Learn how to use built-in array formulas, like TREND or TRANSPOSE

🌟 Unlock Your Excel Potential with Microsoft Excel 2019 - Intermediate Level Training! 🌟 Master the art of Excel with our comprehensive online course designed specifically for intermediate learners. Elevate your skills, boost productivity, and excel in spreadsheet management like never before. 📊 Course Curriculum 📊 🔹 Section 1 - Excel - Intermediate: Dive into the intermediate level of Excel functionalities, bridging the gap between basic and advanced techniques. 🔹 Section 2 - Lists: Learn the art of managing data efficiently with lists, organizing information for streamlined analysis and presentation. 🔹 Section 3 - DataBase Functions: Harness the power of database functions, empowering you to manipulate data with ease and precision. 🔹 Section 4 - Data Validation: Ensure data accuracy and integrity by implementing effective data validation techniques, preventing errors in your spreadsheets. 🔹 Section 5 - Importing and Exporting: Master the process of importing and exporting data seamlessly, integrating external information into your Excel sheets effortlessly. 🔹 Section 6 - Creating Basic Charts: Transform data into impactful visuals with basic chart creation, enhancing your ability to communicate insights effectively. 🔹 Section 7 - Pivot Tables: Unlock the potential of pivot tables, harnessing their analytical power to summarize and analyze complex data sets effortlessly. 🔹 Section 8 - Working with Large Data: Navigate and manipulate extensive data sets efficiently, optimizing your workflow with strategies tailored for large-scale information. 🔹 Section 9 - LookUp Functions: Explore lookup functions to search for and retrieve specific data, refining your ability to find information swiftly. 🔹 Section 10 - Advanced Functions: Elevate your Excel proficiency with advanced functions, expanding your capabilities to handle complex calculations and tasks. 🔹 Section 11 - Excel Intermediate - Conclusion: Wrap up your intermediate Excel journey, reinforcing key concepts and preparing you for further advancements. 🎓 Why Choose Our Course? 🎓 🚀 Comprehensive Learning: A structured curriculum tailored to the needs of intermediate Excel users, covering a wide array of functionalities. 👨‍🏫 Expert Guidance: Led by industry experts well-versed in Excel, ensuring a rich learning experience with practical insights. 🤝 Interactive Learning: Engage with interactive exercises and real-life examples, solidifying your understanding through hands-on practice. 📈 Career Growth: Acquire skills highly sought after in the job market, giving you a competitive edge in various professional domains. 🔓 Don't miss this opportunity to take your Excel skills to the next level! Enroll now and unleash your potential with Microsoft Excel 2019 - Intermediate Level Training. 🔓 Course Curriculum Section 1 - Excel - Intermediate Excel Intermediate Introduction 00:00 Intermediate Shortcut Keys 00:00 Section 2 - Lists What are Lists 00:00 Sorting a List 00:00 Sorting - Multiple Criteria 00:00 Custom Sort 00:00 What are Filters 00:00 Format a List as a Table 00:00 Section 3 - DataBase Functions Introduction to DataBase Functions 00:00 DSum Function 00:00 DSum Function - Single Criteria 00:00 DSum Function - Multiple Criteria 00:00 DAverage 00:00 DCount Function 00:00 Subtotal 00:00 Section 4 - Data Validation Data Validation - List 00:00 Data Validation - Decimal 00:00 Input and Error Messages 00:00 Section 5 - Importing and Exporting Importing Data from Text Files 00:00 Importing Data from MS Access 00:00 Exporting Data to a Text File 00:00 Section 6 - Creating Basic Charts Creating Basic Charts 00:00 The Chart Ribbon 00:00 Adding and Modifying Data on a Chart 00:00 Formatting Charts 00:00 Section 7 - Pivot Tables Understanding Pivot Tables 00:00 Creating Pivot Tables 00:00 Pivot Table Calculations 00:00 Grouping Pivot Table Data 00:00 Formatting Pivot Table Data 00:00 Drilling Down into Pivot Table Data 00:00 Creating Pivot Charts 00:00 Filtering Pivot Table Data 00:00 Filtering using the Slicer 00:00 Section 8 - Working with Large Data Grouping Data 00:00 Consolidating Data 00:00 Section 9 - LookUp Functions VLookUp 00:00 HLookUp 00:00 Index and Match 00:00 Section 10 - Advanced Functions FV Function 00:00 PMT Function 00:00 Hyperlinks 00:00 Text to Columns 00:00 Section 11 - Excel Intermediate - Conclusion Excel Intermediate - Conclusion 00:00

Power Query and Power Pivot in Microsoft Excel:  A Quickstart Guide   Course Description   Copyright Ross Maynard 2022   Course Description Power Query and Power Pivot are two tools available in Microsoft Excel. If you are serious about data analysis, then you need to know how to use these tools. This Quickstart guide will give you the skills you need to get started with these powerful features. The Power Query tool allows you to import external data and then modify it to meet your needs, before loading it into Excel. These editing tasks are all things you can do manually in Excel, but Power Query greatly speeds things up when you have a large volume of data. The Power Pivot tool allows you to connect multiple data tables in an extended pivot table. Power Pivot also introduces new analysis and query tools to further enhance data analysis. If data analysis is your thing, then this course will help you get up to speed with these feature-filled tools. Through screen-capture video, the course provides a step-by-step guide to the foundation skills needed to use both Power Query and Power Pivot effectively. The course is designed to make your first steps into Power Query easy and to build your confidence to use them on your own. Both Power Query and Power Pivot are also available in Microsoft Power BI – the data visualisation suite. Once you have learned how to use Power Query and Power Pivot in Excel with this course, you’ll have a head start in getting to grips with Power BI Get up to speed with Power Query and Power Pivot in Microsoft Excel with this Quickstart guide.     Key Learning Points  On completion of the course, delegates will be able to: Use Power Query to load data from an external source into Microsoft Excel Clean and manipulate external data before loading it into Excel Consolidate separate files with Power Query Update Excel tables with new data in the same format Use Power Query to “unpivot” report tables to prepare the data for analysis Explain the core functionality of Power Pivot Link data tables together in the Power Pivot data model Create pivot tables that draw data from several source data tables Create performance measures and new analysis in the Power Pivot data model Use the most popular DAX query language functions in Power Pivot     Curriculum Lesson 1: Power Query Quickstart Lesson 2: Consolidating Files with Power Query Lesson 3: Unpivoting a Table Lesson 4: Power Pivot Quickstart Lesson 5: Power Pivot – Adding Data and Functionality Lesson 6: Key DAX Functions for Power Pivot Lesson 7: The DAX CALCULATE Function Lesson 8: Key Learning Points     Pre-Course Requirements There are no pre-course requirements     Additional Resources Starter spreadsheets for each lesson are provided so that learners can follow the steps presented.     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel     Questions What is the main feature of Power Query? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     What is the main feature of Power Pivot? The ability to link data tables together to create pivot tables that allow data to be drawn from any and all of the source tables The ability to clean and manipulate large volumes of external data efficiently and to load the result into Microsoft Excel The removal of Microsoft Excel’s restrictions on file sizes and the number of rows of data allowed The ability to visualise data in dashboards and management reports     Which of the following actions cannot be performed within Power Query? Split text into multiple columns Trimming text and removing spaces Creating calculated columns using DAX functions Make date based calculations   Which of the following statements is true? You can use Power Query to combine files that have the same format and open them all in the same spreadsheet You can use Power Query to link data tables and create pivot tables that pull data items from all the linked tables You can use Power Query to create interactive dashboard reports You can use Power Query to export data files to Microsoft Access and other databases     Which of the following provides a compelling case to use Power Pivot in Microsoft Excel? The data visualisation and presentation features of Power Pivot are much more powerful than those in Excel Power Pivot offers the ability to clean large files of data imported from other systems quickly Existing reports and tables can be “reverse engineered” (unpivoted) to create data tables for more advanced analysis Files sizes in Power Pivot are smaller than in Excel and there is no limit on the number of rows of data that can be stored. This makes it much faster and more efficient to use Power Pivot for large data sets     Power Pivot uses analysis functions from the DAX formula language. What does “DAX” stand for? Digital Architecture Extraction Data Arbitrage Extrapolation Display Analytics Extension Data Analysis Expressions Deeply Annoying Exercise   The DAX CALCULATE function is one of the most powerful and useful functions available in Power Pivot. Which statement best describes it? It performs row by row calculations defined by the user and adds the total of them all together for a specified table It performs row by row calculations defined by the user and displays the maximum result for a specified table It performs a defined calculation and then applies filters specified by the user It filters the data in a specified table according to criteria set by the user   As well as in Power Pivot in Microsoft Excel, in what application are DAX functions also available? Microsoft PowerPoint Microsoft Forms Microsoft Teams Microsoft Power BI   How do DAX functions differ from Microsoft Excel functions? DAX functions are designed specifically for use with SQL based data sources DAX functions are completely new and provide additional functionality within Microsoft Excel DAX functions never take a cell reference or a range as reference, but instead take a column or table as reference DAX date and time functions return a date as a serial number, whereas Excel date and time functions return a datetime data type  

Microsoft Excel training | Excel Courses for Accountants: Excel Courses Overview Microsoft Excel is the world's most popular spreadsheet program, learning how to use the software with Osborne Training shows that you've taken one of the best Excel training courses available. Comprehensive excel courses come with up to date material to practice at home and during your class. Excel courses for accountants This course is a highly recognised excel course for accountants. We will also provide a step by step manual of all the tricks you can do using Excel spreadsheets to gain better management reporting and budgeting skills. It is a fundamental program for professional Accountants. Excel spreadsheets are the most powerful tool, extensively used for reporting and analysis. Having advanced skills in excel can excel your career and help you to stand ahead of the competitive job market. Advanced skills in Excel is a must for any potential professional accountants and who are already running a practice or considering opening a practice. Certificate of Attendance Excel Course Content Creating worksheets, formatting text Simple and complex formulas Handling rows and columns Average, max and min functions and using charts. Use of IF Formula Summing Techniques Cell References Formula Linking Tables and Bordering Look up References (Vlookup, Hlookup, etc) Data Validation Conditional Formatting Date & Time Formulas Charts & Graphs Protection & Security Creating Pivot Table Pivot Table Analysis

This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data and visualize data and insights using advanced visualizations in charts and dashboards in Excel.