Excel and Google Sheets Training Course

This instructor-led, live training in Denmark (delivered online or onsite) is tailored for beginner-level analysts who intend to use Excel VBA to automate repetitive tasks, clean and transform data, and optimize reporting workflows.

By the end of the course, participants will be able to: record and edit macros, write basic VBA procedures, work with Excel objects for reporting purposes, and debug fundamental automation solutions.

Excel is a popular spreadsheet application developed by Microsoft. It is widely used for storing, organising, and analysing data in tabular form. Below are some of the key features and functions of Excel: 1. Spreadsheets: It consists of worksheets, each of which is a grid of cells arranged in rows and columns. Users can create multiple worksheets within a single file, facilitating the organisation of different datasets. 2. Calculations and Formulas: It enables the execution 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, PivotTables, and diagrams. 4. Sorting, Filtering, and Grouping: It allows users to sort data based on specific criteria. Users can filter data to display only selected information. Data can be grouped according to specific requirements. 5. Data Analysis: It includes tools for advanced analysis, such as scenario analysis, trend analysis, forecasting, and macro creation. 6. Data Sharing: It enables real-time sharing and collaboration on data, allowing multiple users to work on the same data simultaneously. 7. Task Automation: It supports the creation of macros and task automation using the VBA (Visual Basic for Applications) programming language. Excel is extensively used across various fields, from business to science and education. Its versatile features enable data analysis, report generation, budgeting, scheduling, data management, and many other applications.

This live, instructor-led training in Denmark (delivered online or on-site) is designed for data analysts at all levels. It aims to equip participants with the skills to use Excel for various tasks, from data entry and formula creation to complex analysis and automation.

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

• Move confidently through the Excel interface to manage basic data entry, formatting, and calculations.
• Implement advanced formulas, functions, and conditional formatting for deeper analysis.
• Build and control pivot tables and charts to visualize data effectively.
• Employ Power Query and Power Pivot tools for sophisticated data processing.
• Streamline operations by automating tasks using macros and VBA.

This instructor-led, live training in Denmark (online or onsite) is designed for business and data analysts ranging from beginner to intermediate levels who aim to utilize Excel for data analysis and reporting in their professional projects.

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

• Using Excel formulas and functions to perform calculations and data manipulation.
• Applying Excel data analysis tools like PivotTables, What-If Analysis, and Forecasting to summarize and visualize data.
• Using Excel charts and graphs to create and customize data visualizations.
• Applying Excel data validation and conditional formatting to ensure data quality and highlight insights.
• Using Excel data import and export features to connect with external data sources and share data.

This instructor-led, live training conducted in Denmark (either online or onsite) is specifically designed for data analysts aiming to utilize Google Sheets for data analysis.

By the conclusion of this training, participants will have the ability to:

• Build spreadsheets using Google Sheets.
• Utilize formulas that function in both Google Sheets and Excel.
• Format and analyze diverse datasets.
• Generate data visualizations through charts and graphs.