Microsoft Excel 2023 - From Beginner To Expert In 5 Hours
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.23 GB | Duration: 4h 58m
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.23 GB | Duration: 4h 58m
From Beginner to Expert - 2023 with latest techniques and pivoting tables | Microsoft Certified Master Instructor
What you'll learn
You'll learn Microsoft Excel 2023 from beginner to advance
Learn Linking workbooks & Shortcuts
using advanced sorting and filtering
Working with range names and sub totals
Creating table, formatting tables, and calculating the table
Conditional formatting, databases, icon sets, and color scalers
Modifying or removing conditional formatting
Working with charts, elements, formatting charts and dual axis charts
creating pivoting tables, Data analysis, and formatting
Slicers, Formatting slicers, chart wizard, and power pivot add-on
Requirements
no prior experience, you will learn from basic to advanced
latest pivotings, charts, and data organisation
Description
Learn learn Microsoft Excel easily and quickly Microsoft excel 2023You'll Learn everything you need to know about Microsoft Excel 2023. From the basic fundamentals, to the most advanced features and data organizations using pivoting and charts. This course designed by a Microsoft Certified Master Instructor & industrial expert in cyber security reports with excel. You'll learn microsoft excel 2023 with latest techniques, tactics, and pivoting. Course Outline: Working with Linking workbooksyou'll learn Consolidate featureworking with Shortcutssort nd filterworking with range namesSub totalsCreate a tableFormatting a tableSot and filter by names and colorFilter with slicersCalculate with tableRemoving errorsExport, refresh converting tablesConditional formattingHighlighying cells top and bottomDatabase, icons sets, color scalerUsing custom fonts and colorsUsing conditional formattingModifying or removing conditional formattingCreating chartsUnderstand the chart elementsModifying chart elementsChanging and moving chartsFormatting chartsAdjusting numberingCretinv dual axis chartForecasting with trend linesCreating chart templatesDisplying trends with sparkling toolsWhat is pivot tableCreating pivot tablePivot table field planeData organisation and analysis with pivot tableFormatting pivot chartCreating pivot chartsSlicersFormatting slicersChart wizardAdding a calculated fieldCreating filter pages for a pivotPower pivot add in
Overview
Section 1: Introduction
Lecture 1 MS Excel 2023 Introduction
Lecture 2 FEATURES OF MS EXCEL
Lecture 3 Linking Workbooks
Lecture 4 Working with Shortcuts
Lecture 5 Working with Sorting and Filtering
Lecture 6 Working with range names
Lecture 7 Sub Totals
Lecture 8 Create a table
Lecture 9 Formatting a table
Lecture 10 Working with Sort and filter by names and color
Lecture 11 Filter with slicers
Lecture 12 Working with Calculate with table
Lecture 13 Removing errors
Lecture 14 Working with Export and refresh converting tables
Lecture 15 Conditional formatting
Lecture 16 Highlighting cells top and bottom
Lecture 17 Database, icons sets, color scaler
Lecture 18 Using custom fonts and colors
Lecture 19 Using Conditional formatting
Lecture 20 Modifying or removing conditional formatting
Lecture 21 Working with Creating charts
Lecture 22 Understand the chart elements
Lecture 23 Modifying chart elements
Lecture 24 Changing and moving charts
Lecture 25 Formatting charts
Lecture 26 Adjusting numbering
Lecture 27 Creating dual axis chart with example
Lecture 28 Forecasting with trend lines
Lecture 29 Creating chart templates
Lecture 30 Displaying trends with sparkling tools
Lecture 31 Wrap Text
Lecture 32 What is pivot table
Lecture 33 Pivot table field panes
Lecture 34 Data organisation and analysis with pivot table
Lecture 35 Formatting pivot chart
Lecture 36 Creating pivot charts
Lecture 37 Slicers
Lecture 38 Formatting slicers
Lecture 39 Pivot Chart wizard
Lecture 40 Adding a calculated field
Lecture 41 Creating filter pages for a pivot
Lecture 42 Working with Power pivot
Data analyst,Data entry,Data experts