Title
كورس الاكسيل المتقدم Professional Advanced Excel course
كورس الاكسيل المتقدم Professional Advanced Excel course

What you will learn
Advanced formulas, formatting and design complicated sheets for their work
الدوال النصية Text Functions
دوال استخراج البيانات Lookup Functions
الدوال المنطقية Logical Functions
دوال العد والجمع Count & Sum Functions
التنسيق الشرطى Conditional Formatting
التحقق من صحة البيانات Data Validation
Why take this course?
هذا النص يعتبر وصفًا لكورس مؤدي في موضوع "التحكم في Microsoft Excel بالشرح": usually, this document would outline a comprehensive course on advanced Excel functions and features aimed at transforming intermediate users into advanced experts. The course typically targets a range of professionals including but not limited to students, engineers, accountants, corporate executives, marketers, managers, and security specialists for warehousing and assets management.
The course includes detailed explanations of the concepts and tools through a PowerPoint presentation followed by practical examples or exercises to solidify the knowledge. It also provides training materials, including templates with discussions and responses to potential questions.
For further inquiries or to register for the course, you can contact the instructor, M. Mohamed Farhat, who is available at any time.
Here's a breakdown of what the course might cover:
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Data Validation (Data Validation Tools): This module would teach how to ensure that the data input into worksheets meets specific criteria. It covers setting up lists, tables, data ranges, dates, and custom formulas as conditions for data entry.
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Conditional Formatting (Advanced Formatting): Students learn how to visually categorize and categorize data using color scaling, data bars, icon sets, and conditional formatting rules tailored to specific criteria or formulas.
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Count & Sum Functions (Calculation Tools): This part explains the SUM and COUNT functions along with their conditional counterparts like SUMIFS and COUNTIF, enabling students to tally and add data based on conditions.
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Average and Financial Functions (Statistical Analysis): Here, students will explore functions like AVERAGE, AVERAGEIFS, and financial-related formulas such as PV, NPV, IRR, etc., to analyze and estimate future income values.
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Lookup & Reference Functions (Data Retrieval Techniques): This module covers VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP, and more, teaching students how to extract data from lists or other tables within Excel.
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Date & Time Functions (Managing Calendars): Students will master date and time functions like DATE, WORKDAY, EOMONTH, DAY, MONTH, YEAR, NOW, and DATEDIF to manipulate and calculate date-related data.
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Logical Functions (True/False Conditions): This part includes lessons on IF, AND, OR, IFS, and XOR functions, teaching students how to apply logical testing within their Excel models.
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Dynamic Arrays with Dynamic Array Formulas (Data Management): Introduction to new functions like FILTER, SORT, UNIQUE, SEQUENCE, INDEX, MATCH, small and large, that dynamically handle datasets without the need for complex formulas or additional helper columns.
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PivotTables & PivotCharts (Data Aggregation): This critical module teaches how to summarize, analyze, explore, and visualize data with PivotTables and PivotCharts, providing powerful insights using less effort.
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Advanced Charts & Graphs (Communicating Data Visually): Students learn to create advanced charts and graphs that effectively communicate patterns, trends, errors, and goals within the underlying data.
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Macros & VBA (Automation & Coding): Here, students get an introduction to recording macros in Excel, understanding the Visual Basic for Applications (VBA) environment, writing simple VBA procedures to automate repetitive tasks.
The course is designed to be comprehensive, covering a range of topics from basic to advanced levels, ensuring that participants leave with the skills needed to effectively use Excel in any professional capacity. The hands-on approach with real-world examples and problem-solving exercises ensures that learners can apply their new knowledge immediately upon returning to their work environment.
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