Excel Data Analysis Training Course

This instructor-led live training, offered in Germany (online or onsite), targets beginner-level analysts who aim to use Excel VBA to automate repetitive work, refine data cleaning and transformation, and enhance reporting processes.

By the conclusion of this program, participants will be able to: record and edit macros, write basic VBA procedures, interact with Excel objects for reporting tasks, and debug elementary automation solutions.

Excel is a popular spreadsheet program developed by Microsoft. It is used for storing, organizing, and analyzing data in tabular form. Here are some key features and functions of Excel: 1. Spreadsheets: It consists of worksheets, where each worksheet is a grid of cells arranged in rows and columns. It allows you to create multiple worksheets in a single file, enabling the organization of different sets of data. 2. Calculations and Formulas: It enables the performance of various mathematical, statistical, and logical calculations using formulas. It features a wide range of built-in functions, such as SUM, AVERAGE, MAX, MIN, IF, VLOOKUP, and more. 3. Data Formatting and Appearance: It provides tools for data formatting, including changes to font, colour, and style, as well as the creation of charts, pivot tables, and diagrams. 4. Sorting, Filtering, and Grouping: It allows sorting data according to specified criteria. It enables filtering data to display only selected information. It offers the possibility of grouping data as needed. 5. Data Analysis: It includes tools for performing advanced analyses, such as scenario analysis, trend analysis, forecasting, and macro creation. 6. Data Sharing: It facilitates real-time data sharing and collaboration, allowing multiple users to work on the same data simultaneously. 7. Task Automation: It allows the creation of macros and task automation using the Visual Basic for Applications (VBA) programming language. Excel is widely used in various fields, from business to science and education. Its versatile functions enable data analysis, report generation, budgeting, scheduling, data management, and many other applications.

Acquire core Microsoft Excel competencies through this beginner-oriented course in Germany. Covering topics such as data entry, formatting, formulas, functions, tables, and visual representation, this training helps learners establish a solid base for conducting data analysis and reporting in professional settings.

This live, instructor-led training, conducted in Germany (either online or on-site), targets data analysts from entry-level to advanced proficiency who intend to utilize Excel for a wide range of activities, including data entry, formula construction, data analysis, and advanced automation.

By the conclusion of this training, participants will be capable of:

• Maneuvering the Excel interface to perform essential data entry, formatting, and calculations.
• Implementing advanced formulas, functions, and conditional formatting for deeper data analysis.
• Constructing and managing pivot tables and charts for effective data visualization.
• Employing tools like Power Query and Power Pivot to execute data analysis.
• Enhancing workflow efficiency by automating tasks using macros and VBA.

This instructor-led, live training in Germany—delivered either online or onsite—caters to beginner-level to intermediate-level professionals seeking to enhance their productivity and efficiency by utilizing the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

Upon completion of this training, participants will be able to:

• Navigate and utilize the core functionalities of Excel and Google Sheets.
• Perform data analysis and derive actionable insights through advanced spreadsheet techniques.
• Collaborate in real-time using Google Sheets to facilitate seamless teamwork.
• Develop reusable templates for reporting, tracking, and project management.

This instructor-led, live training, held in Germany (online or onsite), is designed for data analysts aiming to master techniques for data preparation in Excel and visualization in Power BI.

By the end of the session, participants will be able to:

• Understand the foundational principles, objectives, and approaches of data analysis.
• Utilize DAX formulas in Power BI for advanced calculations.
• Develop and implement visualizations and charts for specific analytical cases.
• Use Power View to import data, enabling a shift from Excel-dependent Power BI to independent Power BI environments.