© Copyright 2020 by Alexander Cane - All rights reserved All rights reserved No part of this guide may be reproduced in any form without permission in writing from the publisher except in the case of brief quotations embodied in critical articles or reviews Legal & Disclaimer The information contained in this book and its contents is not designed to replace or take the place of any form of medical or professional advice; and is not meant to replace the need for independent medical, financial, legal or other professional advice or services, as may be required The content and information in this book have been provided for educational and entertainment purposes only The content and information contained in this book have been compiled from sources deemed reliable, and it is accurate to the best of the Author's knowledge, information, and belief However, the Author cannot guarantee its accuracy and validity and cannot be held liable for any errors and/or omissions Further, changes are periodically made to this book as and when needed Where appropriate and/or necessary, you must consult a professional (including but not limited to your doctor, attorney, financial advisor or such other professional advisor) before using any of the suggested remedies, techniques, or information in this book Upon using the contents and information contained in this book, you agree to hold harmless the Author from and against any damages, costs, and expenses, including any legal fees potentially resulting from the application of any of the information provided by this book This disclaimer applies to any loss, damages or injury caused by the use and application, whether directly or indirectly, of any advice or information presented, whether for breach of contract, tort, negligence, personal injury, criminal intent, or under any other cause of action You agree to accept all risks of using the information presented inside this book You agree that by continuing to read this book, where appropriate and/or necessary, you shall consult a professional (including but not limited to your doctor, attorney, or financial advisor or such other advisor as needed) before using any of the suggested remedies, techniques, or information in this book Table of Contents EXCEL 2019 A COMPREHENSIVE BEGINNERS GUIDE TO LEARN EXCEL 2019 STEP BY STEP FROM A - Z Introduction Chapter 1: The Basics of Excel 2019 Excel 2019’s New Look and Feel The Excel Start Screen The Ribbon User Interface Help Starting and Leaving Excel Chapter 2: Personalizing Your Excel 2019 Personalizing the Quick Access Toolbar Exploring your Options Using Office Add-ins Using Excel’s own add-ins Chapter 3: Facing Your Worksheet Spreadsheet Design Kinds of Cell Entries Basics of Data Entry Saving your Data Document Recovery Chapter 4: Worksheet Formatting Selecting cells Handling Columns and Rows Formatting Tables Cell Styles Conditional Formatting Chapter 5: Printing Your Worksheet Different ways to print Page Setup Options Using Print Options Headers and Footers Page Break Issues and How to Solve Them Printing Formulas Chapter 6: Basic Formulas What you need to know about formulas How to Copy Formulas Array Formulas Range Names Linking Formulas Formula Recalculation Circular References Chapter 7: Error Trapping and Logical Functions Error Values Error Trapping Logical Functions Formula Auditing Error Checking Removing Errors in Printout Chapter 8: Date and Time Understanding Date and Time Date functions Time Functions Chapter 9: Financial Formulas Basics of Financial Functions PV, NPV and FV PMT Function Depreciation Functions Chapter 10: Math and Statistical Formulas Math and Trigonometry Functions Statistical Functions Chapter 11: Protecting Your Workbook and Worksheet Data Protecting the Workbook with a Password Protecting the Worksheet Chapter 12: Hyperlinks The Basics of Hyperlinks Using the HYPERLINK Function Chapter 13: How to Prepare a Workbook for Distribution Prepping for Review Annotations Chapter 14: Sharing Your Workbook and Worksheet Sharing Workbooks Online Basics of Excel 2019 Data Sharing Exporting Workbooks to Different Usable File Formats Chapter 15: Charting Your Worksheet Data The Basics of Worksheet Charting Adding Sparkline Graphics Adding Infographics Printing Charts Chapter 16: Adding Graphic Objects Basics of Graphic Objects Different Types of Graphics Drawing Graphic Objects Adding Screenshots Themes Chapter 17: Building Data Lists The Basics of Data Lists Data Sorting Subtotalling Your Data Chapter 18: Filters and Queries Data List Filtering Filtering Data Database Functions External Data Query Chapter 19: What-if Scenarios Data Tables Exploring Different Scenarios Hide and Goal Seeking Using the Solver Chapter 20: Large Scale Data Analysis Building Pivot Tables Modifying the Pivot Table Creating Pivot Charts Creating Forecast Worksheets EXCEL 2019: EXPLORE THE POWERFUL FORMULAS AND FUNCTIONS OF EXCEL 2019 Chapter 1: Introduction Microsoft Excel - What is it used for? Uses of Microsoft Excel New Features in Microsoft Excel 2019 Worksheets and Workbooks How to move around a Worksheet How to move a Worksheet with your Keyboard Moving with your Mouse How to use the Ribbons Commands on the Ribbon How to Work with Dialog Boxes Chapter 2: Editing and Entering Worksheet Data How to Explore Data Types Useful Data-Entry Techniques How to Apply Number Formatting Chapter 3: Carrying Out Basic Worksheet Operations How to Work with Excel Windows Resizing and Moving Windows How to Add a New Worksheet to your Workbook How to Control your Worksheet View Chapter 4: How to Work with Ranges and Tables in Excel Understanding Ranges and Cells How to Use Names to Work with Ranges How to Add Comments to Cells How to Work with Tables Chapter 5: How to Format Worksheets Understanding Formatting Tools Utilizing Colors and Shades How to Create Formula-Based Rules Understanding Document Themes Chapter 6: Understanding Templates and Excel Files How to Create a New Workbook How to Open Workbooks Automatically How to Recover Versions of the Previous Workbook How to Recover Unsaved Work How to Configure AutoRecover Protecting Your Workbook with a Password Protecting Your Work Chapter 7: How to Print Your Work Basic Printing How to Adjust Common Page Setup Settings How to Insert a Watermark How to Add Footer or Header to Reports Chapter 8: How You can Customize the Excel User Interface How to Customize the Quick Access Toolbar How to Customize the Ribbon How to Share User Interface Customizations Chapter 9: Introducing Formulas and Functions Understanding Formula Basics Function Arguments Insertion of Functions into Formulas Chapter 10: Using Formulas to Perform Mathematical Operations Calculation of Percentages Calculation of Percent of Goal Calculation of Percent Variance Calculation of Percent Distribution Calculation of Running Total Handling Division by Zero Errors Rounding of Numbers Using the Conversion Functions Chapter 11: Manipulating Text using Formulas Working with Text Setting a Text to Sentence Case Finding a Character’s Second Instance Counting a Cell’s Specific Characters Cleaning of Unknown Characters from any Text Field Chapter 12: Using Formulas with Times and Dates Conversion of Decimal Seconds, Minutes, or Hours to Time Using Formulas Addition of Seconds, Minutes, or Hours Chapter 13: Making Use of Formulas for Conditional Analysis Comprehending Conditional Analysis Checking for Multiple Conditions Performing Conditional Calculations Chapter 14: Matching and Lookups Using Formulas Introducing Excel’s Lookup Formulas Leveraging the Lookup Functions of Excel 19 Finding the Best Match from some Banded Values Finding the Best Match with the MATCH and INDEX Functions Making use of Default Values for Match Chapter 15: Performing Financial Analysis Using Formulas existing one by selecting one of the two options in the Create PivotChart wizard The pivot table is often placed onto a new worksheet in the existing workbook This workbook is the same one that holds the data in the Excel table, which is analyzed into a pivot chart To place the Pivot Table in an existing worksheet in the same workbook, you need to select the “Existing worksheet” radio button displayed in the wizard and write the coordinates for the range of the worksheet in the text box of Existing worksheet These range coordinates start from the cell name at the top-left corner of the range of worksheet in the excel Moreover, just like PivotTables, the placement of the PivotCharts is automatic, and by default, they are placed in a new workbook Completing the wizard When the create PivotChart wizard has been completed, Excel will redirect you to the new workbook in which the PivotChart has been placed But the PivotChart is still not yet complete, and need furthers input Selecting the data series The next step is for the user to decide and choose the data series he wants to add to the PivotChart, which will then be displayed in the Excel workbook However, for the users who are new to PivotCharts and such tools, finding the right data series which are to be represented by the PivotChart can be a demanding and often confusing task However, don’t confuse the data series belonging to a Chart and the data series which belong to a Chart Legend This is why some users find this whole task confusing as they don’t know the difference between a chart and a chart legend For instance, let’s consider a situation where we want to visually present values corresponding to the sales of a product, say coffee beans In this case, the product “coffee beans” are our data series Now that we know what a data series actually is, let’s move onto what data series corresponds to a Chart Legend Let’s extend this supposition a little bit more by considering that after identifying the data series, we move to work with the field lists, i.e., dragging the Product field containing data about the coffee beans into the Series field area This Series field is known as the Legend Field After filling the Legend field area with the product data, the partially constructed PivotChart will now look like this: Now, if we carefully examine this figure, then we can see that behind the empty PivotChart is a somewhat incomplete PivotTable This half-baked PivotTable is, in fact, supplying the PivotChart with necessary data for it to visually represent Selecting data category The next step in completing our PivotChart is to choose a data category for the chart The purpose of a data category is to effectively and chronologically organize the values of a specific data series Unlike identifying and determining data series, spotting the appropriate data category for the values in a data series is relatively easier For instance, if we examine any chart, including PivotCharts, the most common data category for values that are subject to changes as time passes is “time.” If we consider the coffee beans example again, it’s a given that the sales values of the coffee beans will change with time (either decrease or increase) Thus, this data series plotted on the PivotChart will have the data category of time More accurately, the data category used for the values in such a data series plotted on a PivotChart will be the “Months” category Charting selected data item After we have successfully identified and determined the data series and data category for the PivotChart, the final step in the procedure of completing this PivotChart is to determine and point to the piece of data, which is to be plotted in the PivotChart For instance, when plotting data regarding the revenue generated in sales, we just drag the Sales $ item from the PivotTable field list and drop it into the box labeled as sigma Σ values After following all the steps and finally plotting the desired piece of data into the PivotChart, it will look like this: Cross-Tabulating the Data After we have completely constructed a PivotChart, we can proceed to analyze the plotted data even further by manipulating the information and data on the PivotChart with the help of some very useful tools in Excel In the discussion of the analysis extension of PivotChart data, the first of things we can is continue to pivot and re-pivot the data, i.e., keep on crosstabulating the data as much as we see fit To explain this better, let’s consider the freshly constructed PivotChart we just made as an example In this PivotChart, we would re-pivot or cross-tabulate the data by simply swapping the data series and the data categories This switching of data series and data categories can be easily done by dragging the corresponding items out of their positions, which in this case would be the State and Product buttons respectively, and put them in the positions of their partner This would essentially flip the PivotChart’s arrangement, revealing new insights regarding the data Furthermore, instead of cross-tabulating existing information and data of the PivotChart, we can also switch things up just cross-tabulating up to the minute data For instance, in the PivotChart we created, we can introduce new data to be cross-tabulated and replacing the corresponding existing data (in case of the new data type conflicts with the existing data type) In this case, we can just use the State field from the list as the new time data category and replace it with the Month Field, which was the old-time data category being used By doing this, we are not just introducing a new data category to the PivotChart, but instead, we are analyzing the data from a new perspective After making such changes, the resulting PivotChart will still be using the original Product field as its data series Filtering the Data of a PivotChart Just as how we can apply certain filters to clean and sort through the data in a PivotChart, similarly, there are certain filters which can be applied to the data plotted in a PivotChart to make the visual representation of the chart more sleeker, cleaner, readable and most importantly, more accurate and precise However, filtering data in a PivotChart is not the same as filtering data in a PivotTable, to elaborate, let’s take an example In this demonstration, we will be using the PivotChart we previously created to keep the coherence of the concepts intact So, the scenario dictates that if we look for the data item labeled as “Month,” and after selecting it, drag it all the way down to the bottom half of the PivotTable field list, there will be a box known as “Report Filter.” If the Month data item is dropped into this box, a change can be noticed in the worksheet where the PivotChart is displayed This change is basically Excel adding a button labeled as “Month” in the cells A1 and B1 In this way, we filtered the “Month Data item” from the PivotChart, and as a result, the “Month” button came into being in the PivotTable that’s in the background The purpose of this button is that it allows the user to either view the sales information of all the months or view the sales information of one specific month only The filtering effects are most noticeable when we choose to display only one specific month’s sales information on the PivotChart After applying these changes, when viewing the sales information of all the months, the PivotChart will look like this: To switch the PivotChart from displaying sales information of all months to displaying the sales information of only one month, just go to the B column Over at the top, you’ll see that besides the “Month” column heading in cell A1, there is the “(ALL)” column heading in cell B1, and beside this heading, there is an arrow facing the downward direction Click this arrow, and you’ll open a drop-down list, now from this list, select the month of which you want the PivotChart to display the sales information data If you want to remove these data items which are being displayed on the PivotChart, simply drag the item’s button from the cell and drop it into the PivotTable field list Furthermore, data can also be filtered based on the data series or data category Such filters can be applied by accessing the drop-down lists, which are accompanying the data items in cell A3 and cell B3, as you can see in the figure above For instance, if we want to see the sales information of a different product, such as the coffee beans, we can simply go to the “Column Labels” data item located in cell B3 and click the down arrow button to open the drop-down list From this list, we can simply select the coffee bean product among others and see the information regarding this product’s sale Similarly, if we use the options available in the drop-down list of the “Row Labels” data item located in cell A4, then we can filter the PivotChart data to only show sales data of the product in a specific state Refreshing PivotChart Data As with the cases we discussed in the previous chapter regarding connecting Excel to a database, this would lead to an automatic update of information on PivotTables and other such forms of tables in Excel as the data imported from a database would change A PivotChart works similarly, if the original data (the data in the table upon which the PivotChart is created) is changed, we can keep the PivotChart updated by using the refresh feature of the Excel However, there are two ways through which the PivotChart can be refreshed to update the data plotted in it These methods of refreshing in Excel are: Use the Refresh command found in the PivotTable Tools Options Go the shortcut menu, which is displayed by Excel whenever the PivotChart is right-clicked, and from there, select the Refresh Data option Grouping and Ungrouping Data Items The values which have been plotted in any pivot chart can be grouped together or ungrouped from each other To understand this better, let’s consider an example where we are using a very granular pivot chart In this pivot chart, we want to mask some of the details To mask some of the details, we can just take the information regarding the Breakfast Blend and Breakfast Blend Defac products, which are shown in detail in the pivot chart and proceed to combine them by only displaying the information and data of total sales of these two products In this way, we grouped data items together in a granular pivot chart and made it look less concentrated That’s the purpose of grouping data items together To group data items together, all we need to is go to the cell containing the “Row Labels” or go to the cell containing the “Column Labels,” all depending on your preference of which data items you want to group together Once decided, right-click on that cell, and from the pop-up of shortcut list of options, select the “group” option Once this is done, proceed to right-click the newly created and group from the shortcut menu, select the “Collapse” option When we group and ungroup (by collapsing) the data items, the result observed in the pivot chart is that only the group totals are displayed in both the pivot chart and the pivot table, which is behind the pivot chart We can observe this phenomenon if we look at the figure shown below, where the grouped Breakfast Blend sales have been combined and labeled as Group1: If you want the pivot chart to display the data items ungrouped as they were previously displayed, you can so by going to the Row Labels or Column Labels (the one which you grouped together) and right-clicking them Once the shortcut menu is displayed, find the option “Expand/Collapse,” and the data items in the pivot chart will be ungrouped Creating PivotCharts from Chart Commands Manually inserting Charts isn’t the only option when it comes to creating PivotCharts In this section, we will discuss the method of creating a pivot chart using the standard charting commands included in Excel 2019 These commands basically work on the data present in PivotTable and construct a pivot chart from this data One might wonder as to why use the chart commands to create a pivot chart as opposed to the mainstream method, well the answer is that this method of chart creation is clearly convenient when a PivotTable, filled with data, has already been created and you wish to plot that data in a pivot chart The steps outlined below detail how we can create a pivot chart from the data within a pivot table: The obvious first requirement is that we need a pivot table If there is no pivot table available, then proceed to create one before moving forward Once the pivot table has been created and is filled with data, proceed to examine the table, and from there, choose the worksheet data range upon which the pivot chart will be constructed and highlight it by selecting it Now, when the desired data range from the worksheet containing the pivot table has been selected, go to the Insert tab from the ribbons and use the corresponding charting commands to plot the data in the pivot chart After the 3rd step, a pivot chart is created using a chart wizard that displays information according to the data in the pivot table To understand this whole process better, let’s consider making a column chart by using the chart commands from the data of a pivot table Let’s consider that we are given a pivot table that contains data regarding the sales information of a business Since we already have a pivot table ready to be manipulated, we just use the chart commands to plot the pivot table’s data into the form of a column chart All of this was for plotting the data present in a pivot table However, for plotting data into any chart that’s not from a pivot table, the procedure is similar and simpler All that needs to be done is to highlight and select the data present within a worksheet that you want to convert into a chart, then just simply go to the Insert tab ribbon and use the chart commands over there, that’s all there is to it Customizing Pivot Charts The Pivot Chart obtained by excel is presentable, but it can be customized according to the user’s needs Customizing a Pivot Chart helps change the type of the chart to convey the meaning of the data included in the chart in a better way The colors displayed by the Pivot Chart obtained can also be altered to match the disposition of the data being presented and the person presenting it Selecting the Type of Pivot Chart If you want to customize the Pivot chart according to your preference, then you should first choose the type of Pivot chart that you need To start customizing the given Pivot Chart, select the active sheet present in the excel workbook, which shows the Chart or clicks on a chart object contained in the active sheet After selection, Excel will display a design tab on the ribbon, and this tab will provide you with tools and commands to customize the chart To change the type of chart, locate the “Change chart type” command given in the design tab and click on it A dialog box will be displayed which provides options for altering the type of Pivot Chart The location for commands and tools for customizing the Pivot chart is different in the 2007 and 2010 editions of Excel To modify the Chart, the Design and Layout tabs are used where the command for “Change Chart Type” might be located in the leftmost or rightmost part of the tab In the dialog box of “Change Chart Type” shown, two lists are given from which the chart type can be chosen One of the lists provides the option to pick the chart type from the 11 types given Excel can plot any of the charts from these 11 types given, which are Column, Pie, Line, Stock, Surface, etc The second list on the right gives the subtypes for each type of chart The pictographs of each subtype can be seen on the right side of the dialog box, and they can change the model or shape of the type of chart selected So to choose the type of Chart you want, first select a type from the left list and then select the chart subtype A preview of the chosen chart and subtype is displayed in the area underneath the chart subtypes so you can see how it will look Working with Chart Styles There are options available in Excel to change the Chart Style of the selected Pivot Chart You can choose the style of Chart from the design tab by choosing a style from the various given options and clicking on it At a time, only a small section of the available chart styles is displayed on the Design tab, so you need to click on the down-arrow button to access the other possible styles Various options for Chart layouts are also available in the 2007 and 2010 editions of Excel, which are displayed in the design tab ribbon As with chart styles, chart layouts also have only a limited amount of layouts shown at a time in the design tab To select the desired Chart layout, scroll down to access additional layout options, and click on the selected layout Changing the Chart Layout Any part of the Pivot Chart can be customized with the help of multiple tools and commands provided by Excel If it is desired, even the titles, data labels, tables, axes, and gridlines can be changed Chart and Axis Titles Chart Titles can be added to the Pivot Chart manually to the horizontal, vertical, and depth axes of your chart To add the titles, select the “Add Chart Elements” command available on the design tab ribbon, which will display the “Chart Title and Axis Titles” commands This command can be accessed in Excel 2007 and 2010 via the Layout tab, after which chart and axis titles can be added After the “Chart Title and Axis Titles” command is selected, another menu opens, which provides commands used to choose the locations of the titles added The location-related tools add a placeholder box to the chart where you can click to replace the “Title” text and type the relevant title Once the title has been entered in the placeholder box to replace the Title text, the “Format Chart Title” pane can be opened by clicking on the title placeholder box This pane is displayed on the right side of the Excel worksheet and contains options and tools to control the appearance of the title and its box For example, the chart title box can be filled with a pattern or color with the help of the set of “Fill” options provided in the “Format Chart Title” pane When the “Fill” option is selected, additional buttons and tools are added which provide specific color and pattern options The pane also provides options for customizing the lines which are drawn or the fill for the title or its box by adjusting its color, style, or thickness There are also specific buttons and boxes to select the type of special effects such as shadows, glow, three-dimensional illusion, and edge softening The size and setting of other properties of the chart title can also be changed via the options provided in the “Format Chart Title” pane To access the different setting a pane provides as mentioned above, you need to click on the small icons present at the top of the pane In the Format Chart Title pane, the settings for Fill & Line are identified by the paint can icon, while the Effects can be opened by clicking on the pentagon icon, and the box with measurement specifies the Size & Properties setting Excel has many more panes specified for formatting as well, which include various options of formatting in the form of settings To customize your pivot chart effectively, it is necessary to get familiarized with the available formatting options In the Excel editions 2007 and 2010, the chart title and its appearance are customized with the help of a “Format Chart Title” dialog box instead of a pane This dialog box is opened by opening the Layout tab and clicking on the “Chart Title” command button Excel displays a menu from where the “More Title Options” command is selected, and the dialog box opens Chart Legend A chart legend is used to identify the series of data which is plotted in the Pivot Chart To add or remove a chart legend from the Pivot Chart, open the design tab and access the “Legend” command from the “Add Chart Element” command available on the design tab ribbon A menu is then displayed, which provides various options, and each option corresponds to a location in which the chart legend can be displayed In the “Legend” menu, the last command is the “More Legend Options” command, which is used to display the “Format Legend” pane The pane or dialog box has a variety of tools that specify the location where the chart legend is to be placed and the way Excel should draw it It is a bit different in Excel 2007 and 2010, where the “Legend” command is available on the Layout tab, and it is from here the pivot chart legend is added, removed or customized The “More Legend Options” command opens up a dialog box instead of a pane in these editions Chart Data Labels The “Add Chart Elements” menu in the Design tab contains the command “Data Labels” among the various commands which are specifically used to label the data markers containing values from the Pivot table The “Data Labels” command also displays a menu when it is selected where the options correspond to the data label’s location in the chart, which is shown as None, Center, Left, Right, Above, and Below When the “None” option is selected, Excel takes it that no data labels would be added to the Pivot chart while the “Show” options are the opposite; that is, data labels should be inserted Therefore, if you want to add data labels to a specific location, choose the options that specify that location and if you want to remove the data labels, select the “None” option To access the pane of “Format Data Labels,” click on the “More Data Labels Options” command, which can be seen in the “Data Labels” menu From this pane, you can choose to specify how the data labels are used in the Pivot Chart Next, you have to choose the part of the Pivot table that will be used as a label by checking the corresponding box For instance, to label data markers with the data series name, you have to select the Series Name checkbox The Category Name checkbox and the Value checkbox label the data markers in Pivot Chart with the category name and underlying values respectively The “Data Labels” command is available on the Layout tab in Excel 2007 and 2010 Moreover, the command “More Data Labels Options” command in the “Data Labels” menu displays a dialog box instead of a pane in the Excel windows program There are various Chart Types, and for each type, different data label options are available A suitable data label can be selected for the chosen chart type only by experimenting with different checkboxes included in the “Label Contains” part of the “Data Labels” tab You can select the type of symbol or character which will separate the data labeling information from the “Label Options” tab Click on the down-arrow of the “Separator” command and select a symbol that can be either space, comma, colon, or anything else If you want to connect the data markers to the chart legend, click on the “Legend key” checkbox to select it It will put small legend keys beside the data markers to make a visual connection One of the “Label Contains” checkbox must be selected before this checkbox is available Conclusion The next step is to hop on your personal computer or laptop loaded with Excel 2019 and try out these amazing and intuitive concepts for yourself and see how far they optimize and make your everyday tasks convenient In this book, we journeyed through a variety of different strategies for executing Excel, and along the way, explored a bunch of new and amazing features that most people don’t know about From simple things such as only looking at some of Excel’s advanced toolkit, we ventured into an entirely different world in Excel by learning how to manipulate logical functions in our simple worksheets, looking up data remotely from an active worksheet, filtering and cleaning data in both simple worksheets and tables to more advanced pivot tables and pivot charts This book has addressed all the potential advanced features and strategies of executing Excel that one might find useful in speeding up their existing tasks or optimizing data and in addition, giving them new tools and insight on certain features that provides them with a lens through which they can manipulate and analyze their data from an entirely new perspective and controlling information from a whole new dimension In short, we have ventured above and beyond exploring undiscovered realms within the Excel’s hidden world and came out on top with fruitful knowledge and practical prowess, be it in simple everyday tasks or specialized financial and accounting tasks that demand the user to be proficient in handling and presenting data as it is very crucial for the stability and proper functioning of an organization and a business Resources and Acknowledgements Photo Resources: Excel Data Analysis for Dummies 2nd Edition (A Wiley Brand) ASA Research : Excel for Advanced Users https://www.computerworld.com/article/3268664 ... These include how to protect your data and provide viewing and editing permissions to other users on Chapter 11 , and building and using hyperlinks in Excel spreadsheets in Chapter 12 Also in this... GUIDE TO LEARN EXCEL 2 019 STEP BY STEP FROM A - Z Introduction Chapter 1: The Basics of Excel 2 019 Excel 2 019 ? ??s New Look and Feel The Excel Start Screen The Ribbon User Interface Help Starting and. .. Array Formulas? Creation of Array Constant Understanding an Array’s Dimension Conclusion EXCEL 2 019 ADVANCED METHODS AND STRATEGIES TO LEARN AND EXECUTE EXCEL 2 019 Introduction Chapter One: Introduction