Excel Data Analysis 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 live, instructor-led training in Denmark, offered online or on-site, targets professionals from beginner to intermediate levels. It is tailored for those looking to enhance their productivity and efficiency by harnessing the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

Upon completion, participants will be able to:

• Master the navigation and utilization of core features in Excel and Google Sheets.
• Execute data analysis and generate actionable insights via advanced spreadsheet methods.
• Engage in real-time collaboration using Google Sheets to streamline teamwork.
• Design reusable templates for effective reporting, tracking, and project management.

This instructor-led live training, available online or on-site in Denmark, is designed for data analysts looking to enhance their ability to prepare data in Excel and visualize it in Power BI.

By the end of the session, participants will have the capability to:

• Comprehend the underlying principles, objectives, and approaches of data analysis.
• Leverage DAX formulas in Power BI for advanced calculation tasks.
• Develop and apply targeted visualizations and charts for specific analytical cases.
• Use Power View to import data, enabling a shift from Excel-based Power BI to independent Power BI usage.