
Microsoft Advanced Excel (Afternoon)
- Πληροφορική - Χρήστες

ΠΕΡΙΓΡΑΦΗ
The Advanced Excel course is designed for professionals who want to move beyond basic spreadsheets and unlock the full analytical power of Microsoft Excel. Participants will learn advanced formulas, PivotTables, Power Pivot, data modelling, scenario analysis, dashboard creation, and data visualization techniques. Through practical exercises and real-world business cases, learners will develop the skills required to analyze large datasets, automate calculations, create interactive reports, and make data-driven decisions with confidence.
ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ
By the end of this course, participants will:
- Master Advanced Formulas and Functions: Learn to use a wide range of advanced Excel functions, including logical, lookup, text, date, and statistical functions. Understand complex formula structures and leverage nested functions for dynamic data analysis.
- Data Analysis Techniques: Explore powerful data analysis tools, such as PivotTables, PivotCharts, and Data Tables, to gain insights from vast datasets quickly. Understand how to use filters, slicers, and timelines to manipulate data interactively.
- Data Validation and Cleaning: Implement data validation rules to maintain data integrity. Learn how to clean and transform raw data into usable formats using various techniques like text-to-columns, Flash Fill, and Power Query.
- Advanced Charting and Visualization: Create visually stunning charts, graphs, and interactive dashboards to present data effectively. Learn to customize chart elements, use sparklines, and create dynamic visualizations.
- What-If Analysis and Scenario Manager: Understand the concept of What-If analysis and explore Scenario Manager to evaluate different scenarios by changing multiple input values.
- Solver Tool: Learn how to use Excel’s Solver add-in to find optimal solutions for problems with multiple constraints and variables.
- Collaborative Features: Explore collaboration features like Track Changes, Comments, and Shared Workbooks to facilitate teamwork and version control.
- Importing and Exporting Data: Discover various methods to import data into Excel from external sources and export Excel data to other formats like CSV, PDF, and text files.
- Excel Data Model and Power Pivot: Introduction to the Excel Data Model and Power Pivot for enhanced data analysis and creating relationships between multiple datasets.
ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ
Whether you are a business professional, data analyst, finance expert, or simply an Excel enthusiast, this course will equip you with the tools and techniques to make the most of Excel’s advanced capabilities.
Prerequisites:
To enroll in this course, participants should have a solid understanding of the fundamental concepts and basic functionalities of Microsoft Excel. Familiarity with formulas, functions, formatting, and basic data manipulation is essential.
ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ
Course Benefits
- Online participation in all modules of first-class training
- Personal Certificate by SCP and Approved by Cyprus HRDA at the end of the course
- Connection to workplace
- Possibility for Internship in well know companies
Αναλυτικό Κόστος Σεμιναρίου
Για Δικαιούχους ΑνΑΔ
- € 630.00
- € 420.00
- € 0.00
- € 210.00
- € 210.00
Για μη-Δικαιούχους ΑνΑΔ
- € 630.00
- € 277.00
- € 67.07
- € 353.00
- € 420.07
Κοστολογικές Πληροφορίες
instalments accepted x2 or x 3).
ΠΡΟΓΡΑΜΜΑ ΣΕΜΙΝΑΡΙΟΥ
Δευτέρα - 23 Νοε 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Τετάρτη - 25 Νοε 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Δευτέρα - 30 Νοε 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Τετάρτη - 02 Δεκ 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Δευτέρα - 07 Δεκ 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Τετάρτη - 09 Δεκ 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Δευτέρα - 14 Δεκ 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Τετάρτη - 16 Δεκ 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Δευτέρα - 21 Δεκ 2026
Ώρα
14:30 - 16:30
Τοποθεσία:
OnLine Virtual Classroom
Ελληνικά
English

