Microsoft Office Excel - working effectively with the spreadsheet Training Course

By the end of this course, participants will be equipped to efficiently execute a wide range of calculations while presenting results with clarity. Learners will utilize various tools to streamline and accelerate the creation of spreadsheets, and implement robust security measures to safeguard their calculations and data against unauthorized access.

Participants will learn to optimize their Excel skills to effectively create, consolidate, and manage data. The course covers various tools designed to streamline workflows, significantly reducing the time required for previous activities and enabling you to design applications that can perform new tasks.

Elevate your VBA proficiency to an intermediate standard by mastering custom interfaces, complex data types, conditional logic, looping structures, and professional debugging methods. This practical Excel VBA training covers robust error handling, performance optimization, VBA UserForms, and workflow automation through real-world exercises. It serves to bridge the gap between basic macros and advanced automation solutions, benefiting data analysts, reporting specialists, and business users aiming to unlock enterprise-grade spreadsheet capabilities.

This instructor-led, live training in Norway (online or onsite) is aimed at beginner-level analysts who wish to use Excel VBA to automate repetitive work, clean and transform data, and improve reporting processes.

By the end of this training, participants will be able to: record and edit macros, write simple VBA procedures, work with Excel objects for reporting tasks, and debug basic 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. Worksheets: Consists of sheets where each sheet is an array of cells arranged in rows and columns. Allows creating multiple sheets within one file, which facilitates organizing various data sets. 2. Calculations and formulas: Enables various mathematical, statistical, and logical calculations using formulas. Has a wide range of built-in functions such as SUM, AVERAGE, MAX, MIN, IF, VLOOKUP, etc. 3. Data formatting and appearance: Provides tools for formatting data, including changing fonts, colors, styles, and creating charts, pivot tables, and diagrams. 4. Sorting, filtering, and grouping: Allows sorting data according to specific criteria. Enables filtering data to display only selected information. Possible to group data depending on needs. 5. Data analysis: Tools for performing advanced analyses such as scenario analysis, trends, forecasting, and creating macros. 6. Data sharing: Enables sharing and collaborating on data in real time, allowing multiple users to work on the same data simultaneously. 7. Task automation: Possibility to create macros and automate tasks using the VBA (Visual Basic for Applications) programming language. Excel is widely used in various fields, from business to science and education. Its versatile features enable data analysis, report creation, budgeting, scheduling, data management, and many other applications.

Upon completing this course, participants will be able to effectively utilize data analysis tools such as scenarios and pivot tables. They will also learn to leverage features for date calculations and text-processing functions, as well as create and customize macros to automate spreadsheet tasks according to specific requirements.

Analyzing Financial Data in Excel empowers financial analysts and accountants with advanced methodologies for automating complex computations and reporting processes. The course covers fundamental principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and external data integration. Participants delve into Goal Seek, Solver, Analysis ToolPak, and VBA macros to automate repetitive workflows. This training helps professionals convert raw data into actionable financial insights and precise forecasts to support strategic planning.

Microsoft Excel is a robust spreadsheet tool designed for organizing, analyzing, and visualizing data.

This instructor-led live training (available online or at your location) targets beginner-level data analysts looking to leverage Excel for data analysis and reporting.

Upon completing this training, participants will be able to:

• Create and manage Excel spreadsheets.
• Format and organize data to enhance clarity and efficiency.
• Utilize formulas and functions to automate calculations.
• Visualize data through charts, tables, and conditional formatting.
• Collaborate and securely share workbooks within Microsoft 365.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led, live training in Norway (online or on-site) is designed for data analysts at beginner to advanced levels who intend to use Excel for tasks such as data entry, formula creation, analysis, and advanced automation.

By the end of this training, participants will be able to:

• Navigate Excel’s interface and perform basic data entry, formatting, and calculations.
• Apply advanced formulas, functions, and conditional formatting for data analysis.
• Create and manage pivot tables and charts for data visualization.
• Use tools like Power Query, Power Pivot, and perform data analysis.
• Automate tasks using macros and VBA to streamline workflows.

Excel is a spreadsheet application utilized for data entry, analysis, reporting, and automation.

This instructor-led live training (available online or onsite) targets users from beginner to advanced levels who wish to build confidence and proficiency across Excel’s essential, intermediate, and advanced capabilities.

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

• Work confidently with spreadsheets, formulas, and formatting.
• Use intermediate tools such as tables, charts, and conditional logic.
• Apply advanced functions, data analysis features, and automation techniques.
• Create professional worksheets that support business decision-making.

Format of the Course

• Instructor-led demonstrations and guided explanations.
• Extensive workbook exercises and hands-on practice.
• Practical lab activities using real-world spreadsheet scenarios.

Course Customization Options

• For tailored coverage based on your department’s workflows, please contact us to arrange a customized version of this course.

This instructor-led, live training in Norway (online or onsite) is designed for beginner to intermediate business analysts and data analysts who aim to use Excel for data analysis and reporting in their projects and tasks.

By the end of this training, participants will be able to:

• Apply Excel formulas and functions to perform calculations and manipulate data.
• Utilize Excel data analysis tools, such as PivotTables, What-If Analysis, and Forecasting, to summarize and visualize data.
• Design and customize data visualizations using Excel charts and graphs.
• Employ Excel data validation and conditional formatting to maintain data quality and highlight key insights.
• Use Excel's data import and export capabilities to connect with external data sources and share information with others.

This Excel training for financial analysis covers the advanced spreadsheet techniques that finance professionals need — from lookup functions, search formulas, and Pivot Charts through conditional formatting, external data workflows, and Securities analysis. Dives into practical approaches to evaluating time value of money concepts, identifying market trends, building financial forecasting models, and leveraging Excel's complete analytical toolkit for complex financial computations and reporting.

This instructor-led, live training in Norway (online or onsite) is designed for professionals at beginner to intermediate levels who wish to improve their productivity and efficiency by utilizing the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.

By the end of this training, participants will be able to:

• Navigate and effectively use the core features of Excel and Google Sheets.
• Conduct data analysis and generate actionable insights through advanced spreadsheet techniques.
• Foster real-time collaboration using Google Sheets for seamless teamwork.
• Develop reusable templates for reporting, tracking, and project management.

Excel is a widely utilized spreadsheet application designed for organizing, analyzing, and automating data.

This instructor-led live training, available online or onsite, targets intermediate Excel users who want to leverage Excel for inventory control, budgeting, reporting, and automation using real-world data sets.

Upon completing this training, participants will be able to:

• Apply formulas such as SUMIF, IF, VLOOKUP, and SUMIFS to inventory and purchasing scenarios.
• Efficiently manage and analyze large data sets containing 5,000+ rows.
• Create and interpret pivot tables for both monthly and cumulative tracking.
• Automate repetitive reporting tasks through the use of macros.
• Track material purchases against consumption using structured templates.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live lab environment.

Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

This instructor-led, live training in Norway (online or onsite) is designed for data analysts or anyone interested in learning how to use Excel to build data models for data analysis.

Upon completing this training, participants will be able to:

• Analyze and resolve business challenges using structured problem-solving methods.
• Navigate Excel’s tools with confidence and ease.
• Effectively set up, format, and present data.
• Grasp the logical structure of Excel models and apply appropriate functions.