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Microsoft Excel 2019

58 Videos
5.30 Hours
54 Test Questions

Closed Caption

Certificate

Dedicated Tutors

Microsoft Excel 2019

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

5.30 Hours
58 Videos

Microsoft Excel 2019

Course Description

5.30 Hours

58 Videos

Microsoft Excel 2019

The Microsoft Excel 2019 course is designed for users who want to enhance their skills in using Excel 2019 for data analysis, reporting, and visualization. This course covers a wide range of features and functions available in Excel 2019, from basic spreadsheet operations to advanced data manipulation techniques. Participants will learn how to effectively use Excel to manage, analyze, and present data in a professional manner.

Key Features:

  • Introduction to Excel 2019: Get familiar with the Excel 2019 interface, including the ribbon, worksheets, and essential tools, to navigate and use the application efficiently.
  • Data Entry and Formatting: Learn how to enter, format, and organize data in spreadsheets, including using cell styles, conditional formatting, and data validation to enhance readability and accuracy.
  • Formulas and Functions: Explore fundamental and advanced formulas and functions, such as SUM, AVERAGE, VLOOKUP, HLOOKUP, IF statements, and nested functions, to perform calculations and analyze data.
  • Data Analysis Tools: Discover tools for data analysis, including sorting, filtering, and using the Data Analysis Toolpak for statistical analysis and complex calculations.
  • PivotTables and PivotCharts: Master the creation and manipulation of PivotTables and PivotCharts to summarize, analyze, and visualize large data sets effectively.
  • Charts and Graphs: Learn how to create and customize various types of charts and graphs, including bar, line, pie, and scatter plots, to visually represent data trends and patterns.
  • Advanced Data Management: Understand how to use advanced features such as data consolidation, lookup functions, and managing multiple worksheets to handle complex data sets.
  • Data Validation and Protection: Explore methods for ensuring data integrity with data validation rules and protecting spreadsheets with passwords and permissions.
  • Automation with Macros: Gain skills in automating repetitive tasks using Excel macros and VBA (Visual Basic for Applications) to improve efficiency and productivity.
  • Collaboration and Sharing: Learn how to collaborate with others by sharing and reviewing workbooks, tracking changes, and using cloud-based features for real-time collaboration.
  • Power Query and Power Pivot: Discover how to use Power Query for data import and transformation, and Power Pivot for advanced data modeling and analysis.
  • This course provides a comprehensive understanding of Excel 2019’s capabilities, equipping participants with the tools and techniques needed to perform sophisticated data analysis, create professional reports, and enhance productivity using Excel.
Course Syllabus

Module 1: Beginner

  1. 1.0 Intro
  2. 1.1 The Ribbon
  3. 1.2 Saving Files
  4. 1.3 Entering and Formatting Data
  5. 1.4 Printing from Excel & Using Page Layout View
  6. 1.5 Formulas Explained
  7. 1.6 Working with Formulas and Absolute References
  8. 1.7 Specifying and Using Named Range
  9. 1.8 Correct a Formula Error
  10. 1.9 What is a Function
  11. 1.10 Insert Function & Formula Builder
  12. 1.11 How to Use a Function- AUTOSUM, COUNT, AVERAGE
  13. 1.12 Create and Customize Charts

Module 2: Intermediate

  1. 2.0 Recap
  2. 2.1 Navigating and editing in two or more worksheets
  3. 2.2 View options – Split screen, view multiple windows
  4. 2.3 Moving or copying worksheets to another workbook
  5. 2.4 Create a link between two worksheets and workbooks
  6. 2.5 Creating summary worksheets
  7. 2.6 Freezing Cells
  8. 2.7 Add a hyperlink to another document
  9. 2.8 Filters
  10. 2.9 Grouping and ungrouping data
  11. 2.10 Creating and customizing all different kinds of charts
  12. 2.11 Adding graphics and using page layout to create visually appealing pages
  13. 2.12 Using Sparkline formatting
  14. 2.13 Converting tabular data to an Excel table
  15. 2.14 Using Structured References
  16. 2.15 Applying Data Validation to cells
  17. 2.16 Comments – Add, review, edit
  18. 2.17 Locating errors

Module 3: Advanced

  1. 3.1 Recap
  2. 3.2 Conditional (IF) functions
  3. 3.3 Nested condition formulas
  4. 3.4 Date and Time functions
  5. 3.5 Logical functions
  6. 3.6 Informational functions
  7. 3.7 VLOOKUP & HLOOKUP
  8. 3.8 Custom drop down lists
  9. 3.9 Create outline of data
  10. 3.10 Convert text to columns
  11. 3.11 Protecting the integrity of the data
  12. 3.12 What is it, how we use it and how to create a new rule
  13. 3.13 Clear conditional formatting & Themes
  14. 3.14 What is a Pivot Table and why do we want one
  15. 3.15 Create and modify data in a Pivot Table
  16. 3.16 Formatting and deleting a Pivot Table
  17. 3.17 Create and modify Pivot Charts
  18. 3.18 Customize Pivot Charts
  19. 3.19 Pivot Charts and Data Analysis
  20. 3.20 What is it and what do we use it for
  21. 3.21 Scenarios
  22. 3.22 Goal Seek
  23. 3.23 Running preinstalled Macros
  24. 3.24 Recording and assigning a new Macro
  25. 3.25 Save a Workbook to be Macro enabled
  26. 3.26 Create a simple Macro with Visual Basics for Applications (VBA)
  27. 3.27 Outro

Course Highlights

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

Microsoft Excel 2019

The Microsoft Excel 2019 course is designed for users who want to enhance their skills in using Excel 2019 for data analysis, reporting, and visualization. This course covers a wide range of features and functions available in Excel 2019, from basic spreadsheet operations to advanced data manipulation techniques. Participants will learn how to effectively use Excel to manage, analyze, and present data in a professional manner.

Key Features:

  • Introduction to Excel 2019: Get familiar with the Excel 2019 interface, including the ribbon, worksheets, and essential tools, to navigate and use the application efficiently.
  • Data Entry and Formatting: Learn how to enter, format, and organize data in spreadsheets, including using cell styles, conditional formatting, and data validation to enhance readability and accuracy.
  • Formulas and Functions: Explore fundamental and advanced formulas and functions, such as SUM, AVERAGE, VLOOKUP, HLOOKUP, IF statements, and nested functions, to perform calculations and analyze data.
  • Data Analysis Tools: Discover tools for data analysis, including sorting, filtering, and using the Data Analysis Toolpak for statistical analysis and complex calculations.
  • PivotTables and PivotCharts: Master the creation and manipulation of PivotTables and PivotCharts to summarize, analyze, and visualize large data sets effectively.
  • Charts and Graphs: Learn how to create and customize various types of charts and graphs, including bar, line, pie, and scatter plots, to visually represent data trends and patterns.
  • Advanced Data Management: Understand how to use advanced features such as data consolidation, lookup functions, and managing multiple worksheets to handle complex data sets.
  • Data Validation and Protection: Explore methods for ensuring data integrity with data validation rules and protecting spreadsheets with passwords and permissions.
  • Automation with Macros: Gain skills in automating repetitive tasks using Excel macros and VBA (Visual Basic for Applications) to improve efficiency and productivity.
  • Collaboration and Sharing: Learn how to collaborate with others by sharing and reviewing workbooks, tracking changes, and using cloud-based features for real-time collaboration.
  • Power Query and Power Pivot: Discover how to use Power Query for data import and transformation, and Power Pivot for advanced data modeling and analysis.
  • This course provides a comprehensive understanding of Excel 2019’s capabilities, equipping participants with the tools and techniques needed to perform sophisticated data analysis, create professional reports, and enhance productivity using Excel.
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