Microsoft Excel is a powerful spreadsheet software that is widely used in various industries for data analysis, financial modeling, and reporting. Excel has a range of features and functions that make it a versatile tool for organizing and manipulating data.
Microsoft Excel Training
Typically, classroom training for Microsoft Excel lasts 14 hours to 20 hours and a demo project at the end of the training.
Target Audience
The target audience for this Microsoft Excel course from basic to advanced can vary widely and may include:
-
Business professionals: Excel is widely used in the business world for data analysis, financial modeling, and reporting. Business professionals, including accountants, financial analysts, and marketing professionals, can benefit from learning Excel's advanced features.
-
Students: Students pursuing degrees in fields such as finance, economics, or business can benefit from this course to develop their data analysis and modeling skills.
-
Data analysts: Excel is an essential tool for data analysis, and this course can help data analysts learn advanced Excel techniques to work with larger datasets and build more complex models.
-
Researchers: Researchers can use Excel to manage and analyze data collected in their studies. This course can help them develop advanced Excel skills to manage and analyze large datasets and create visualizations.
-
Anyone interested in learning Excel: Anyone interested in learning Excel and developing their skills can benefit from this course. Excel is a versatile tool, and learning its advanced features can help individuals become more efficient in their work or personal projects.
Overall, this course is suitable for anyone who wants to learn Excel, from beginners with little to no experience to advanced users who want to expand their skills and knowledge of the software.
Regenerate response
Pre-Requisites
​
The prerequisites for this Microsoft Excel course from basic to advanced would typically include:
-
Basic computer skills: It is essential to have basic computer skills, such as typing, file management, and familiarity with the Windows or Mac OS interface.
-
Familiarity with Microsoft Excel: Although this course starts with basic Excel knowledge, it is helpful to have some familiarity with the software's interface, basic formulas, and functions.
-
Basic mathematical knowledge: Understanding basic math concepts such as addition, subtraction, multiplication, division, and percentages is useful in working with Excel spreadsheets.
-
Attention to detail: Excel is a powerful tool for organizing and manipulating data, but it also requires attention to detail and accuracy.
-
Motivation to learn: This course covers a lot of ground, and it requires motivation and commitment to practice and master the skills taught in each level.
While these are the suggested prerequisites, it is also possible for beginners to take this course with little to no experience with Excel, provided they are willing to put in the extra effort to learn and practice the basic concepts before moving onto the more advanced levels.
Regenerate response
​
Syllabus
Basic Excel
Creating a new workbook
• Entering data and editing data
• Formatting data and cells
• Simple formulas and functions (e.g., SUM, AVERAGE, MAX, MIN)
• Basic chart creation and formatting
• Sorting and filtering data
• Printing and page setup
Intermediate Excel:
Advanced formula and function usage (e.g., VLOOKUP, IF statements, COUNTIF,
SUMIF)
• Conditional formatting
• Data validation
• PivotTables and PivotCharts
• Advanced chart creation and formatting
• Data analysis tools (e.g., Goal Seek, Scenario Manager)
• Collaboration and sharing (e.g., sharing workbooks, protecting sheets and
workbooks)
Advanced Excel
Advanced data analysis and manipulation techniques (e.g., using advanced
functions, macros, and add-ins)
• Working with large data sets (e.g., data cleansing, importing and exporting data,
using external data sources)
• Using Solver to optimize solutions
• Advanced charting techniques (e.g., sparklines, trendlines)
• Working with database functions and structures
• Developing custom solutions using VBA programming
• Power Query and Power Pivot for data modeling and analysis.
