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Microsoft Power BI. From data to strategic decisions
Rating: 5.0 out of 5(2 ratings)
179 students

Microsoft Power BI. From data to strategic decisions

Web Module. 7000 DAX expressions based Microsoft Adventure Works template
Last updated 7/2026
English
English [Auto],

What you'll learn

  • Connecting Existing Microsoft Excel Data Source to Power BI
  • Connecting Existing Microsoft Sharepoint Data Source to Power BI
  • Building Reports and Dashboards with Charts and Tables in Power BI
  • Dashboard Analysis
  • Automatically refresh datasets in Power BI with Power Automate
  • Setting up your Microsoft 365 account: creating users and groups as app users
  • Practice with 1800 Quizzes for Microsoft 365 fundamentals certification by practicing with 1800 Quizzes

Course content

24 sections344 lectures16h 56m total length
  • Web Module. 7000 DAX expressions based Microsoft Adventure Works template4:02

    "dax-language-engineering" is an advanced web-based learning and productivity module dedicated to DAX and Power BI. Its core purpose is to provide a complete operational reference for DAX functions, combining explanation, navigation, formula generation, visual interpretation and report-oriented thinking in a single interactive environment. The module presents itself as a “DAX complete reference Web Module” built around 7,000 DAX expressions based on the Microsoft Adventure Works template, and it highlights coverage of 240 DAX functions with the ability to import an Excel sheet and instantly generate multiple expressions.

    The user experience is designed as a guided analytical workspace rather than a static catalogue. Functions are organized through an A–Z function index and grouped into technical categories such as aggregation, logic, date and time, table editing, filters, relationships, information, financial functions, temporal hierarchies and other residual areas. Each function entry includes its name, category and functional purpose, allowing users to move quickly from a conceptual need—such as filtering, counting, calculating time intelligence or managing relationships—to the most suitable DAX construct.

    A central strength of the module is its didactic depth. Each DAX function is not only listed, but connected to explanatory sections such as detailed descriptions, business use cases, individual function usage, use as an argument in other functions and relationships with other functions. This structure turns the module into a practical training environment for learners, trainers and analysts who need to understand not only what a function does, but also how it behaves in analytical contexts and how it can support reporting scenarios.

    The module also includes strong search and recommendation capabilities. It contains tools for searching formulas by description, searching functions by name, searching by keywords and returning to selected results. It also includes an AI-like DAX recommendation and formula generator environment, with controls for generating formulas, displaying progress, showing candidate explanations, identifying operators and providing contextual formula comments. These features make the module useful not only as a reference library, but also as a guided assistant for building DAX expressions from analytical intent.

    Another important component is the visual interpretation layer. The module includes Power BI-style visual objects, mapping panes, visual mockups, chart areas, gauges, matrix views, layout panels and create buttons connected to generated formula scenarios. This means that DAX expressions are not treated as isolated code snippets; they are linked to visual outputs, field mappings and report design logic. In this way, the module helps users understand how a formula can influence a visual, a KPI, a matrix, a trend chart or a report page.

    The module also supports project-oriented workflows through features such as saved searches, DAX formula archives, report project generation, summary panels, sector adaptation and idea archives. These elements make it possible to preserve useful searches, reopen generated ideas, store semantic model outputs and reuse analytical structures. The archive logic is not merely decorative: the file explicitly states that artificial caps have been removed and that the practical storage limit depends on browser localStorage availability, making the archive suitable for extended personal use during study or development sessions.

    Overall, "dax-language-engineering" functions as a complete DAX engineering environment: it combines reference content, formula generation, semantic reasoning, Power BI visual mapping, report ideation and reusable archives. Its value lies in bridging the gap between learning DAX syntax and applying DAX in real analytical projects, especially where users need to move from data tables and relationships to meaningful measures, visual objects and strategic business decisions.

  • Connect to the form DAX0:01
  • Web APP budget and macroeconomic KPI - Excel Export for SharePoint and Power BI11:07

    This web application is a powerful, all‑in‑one financial analysis platform designed to transform raw accounting data into strategic business insight. It enables companies to seamlessly manage and analyze their financial statements, combining real data and what‑if simulations to support smarter decision-making.

    At its core, the platform provides a dynamic KPI dashboard, where key financial indicators—such as EBITDA, ROE, ROI, liquidity ratios, and leverage—are visualized through interactive charts and real‑time comparisons. Users can explore trends over time, evaluate performance, and instantly understand how operational changes impact results.

    Beyond internal analysis, the application stands out by integrating macroeconomic intelligence. Users can examine economic indicators at global, regional, or country level, gaining valuable context on factors like growth, inflation, and public debt. This enables a deeper understanding of how external economic conditions influence business performance and strategy.

    The platform also delivers automated narrative reporting, translating complex financial data into clear, professional insights combined with actionable recommendations. Advanced threshold and alert systems highlight critical values, helping users quickly identify risks and opportunities.

    Designed for CFOs, consultants, and business leaders, this solution goes beyond traditional financial tools by merging financial analysis, scenario simulation, and macroeconomic context into a single, intuitive environment—empowering data-driven decisions with clarity and confidence.


    FAQ

    1. What is this App used for?

    This App analyzes financial statement data, calculates KPIs, and helps users interpret performance through dashboards, charts, reports, thresholds, and simulations. It supports profitability, liquidity, debt, and sustainability analysis.

    2. What data can I enter?

    You can enter balance sheet and income statement data: assets, inventories, receivables, cash, equity, debt, revenues, costs, EBITDA, EBIT, financial expenses, and net income. Simulated data support scenario analysis.

    3. Which KPIs are calculated?

    The App calculates ROE, ROI, ROS, Current Ratio, Leverage, Net Financial Position, EBITDA, EBITDA Margin, cost incidence, interest coverage, net income, and revenues.

    4. How are critical values shown?

    Critical values are highlighted with colors and warnings. Configurable thresholds classify results as positive, warning, or critical, helping users identify areas needing attention.

    5. Can I customize thresholds?

    Yes. Users can define thresholds for each KPI, adapting value classification to different industries, company sizes, and evaluation criteria.

    6. What are simulated data used for?

    Simulated data compare hypothetical scenarios with actual results. Users can test changes in revenues, costs, debt, liquidity, or net income and assess KPI impact.

    7. Can I compare financial years?

    Yes. The App supports multi-year comparison, trend analysis, year-over-year changes, and provisional versus final financial statement comparison.

    8. Does the App generate reports?

    Yes. The Report section creates narrative analysis, interprets KPIs, highlights critical areas, and links results to possible corrective actions.

    9. Can I export data?

    Yes. The App supports Excel, CSV, and JSON backup export, allowing users to store, share, process, or restore data.

    10. Where are data stored?

    Data are stored locally in the browser through IndexedDB. JSON backup and restore functions are also available.

  • Web address and login credentials - Local storage: data saved on your PC0:03

    This web application is a powerful, all‑in‑one financial analysis platform designed to transform raw accounting data into strategic business insight. It enables companies to seamlessly manage and analyze their financial statements, combining real data and what‑if simulations to support smarter decision-making.

    At its core, the platform provides a dynamic KPI dashboard, where key financial indicators—such as EBITDA, ROE, ROI, liquidity ratios, and leverage—are visualized through interactive charts and real‑time comparisons. Users can explore trends over time, evaluate performance, and instantly understand how operational changes impact results.

    Beyond internal analysis, the application stands out by integrating macroeconomic intelligence. Users can examine economic indicators at global, regional, or country level, gaining valuable context on factors like growth, inflation, and public debt. This enables a deeper understanding of how external economic conditions influence business performance and strategy.

    The platform also delivers automated narrative reporting, translating complex financial data into clear, professional insights combined with actionable recommendations. Advanced threshold and alert systems highlight critical values, helping users quickly identify risks and opportunities.

    Designed for CFOs, consultants, and business leaders, this solution goes beyond traditional financial tools by merging financial analysis, scenario simulation, and macroeconomic context into a single, intuitive environment—empowering data-driven decisions with clarity and confidence.


    FAQ

    1. What is this App used for?

    This App analyzes financial statement data, calculates KPIs, and helps users interpret performance through dashboards, charts, reports, thresholds, and simulations. It supports profitability, liquidity, debt, and sustainability analysis.

    2. What data can I enter?

    You can enter balance sheet and income statement data: assets, inventories, receivables, cash, equity, debt, revenues, costs, EBITDA, EBIT, financial expenses, and net income. Simulated data support scenario analysis.

    3. Which KPIs are calculated?

    The App calculates ROE, ROI, ROS, Current Ratio, Leverage, Net Financial Position, EBITDA, EBITDA Margin, cost incidence, interest coverage, net income, and revenues.

    4. How are critical values shown?

    Critical values are highlighted with colors and warnings. Configurable thresholds classify results as positive, warning, or critical, helping users identify areas needing attention.

    5. Can I customize thresholds?

    Yes. Users can define thresholds for each KPI, adapting value classification to different industries, company sizes, and evaluation criteria.

    6. What are simulated data used for?

    Simulated data compare hypothetical scenarios with actual results. Users can test changes in revenues, costs, debt, liquidity, or net income and assess KPI impact.

    7. Can I compare financial years?

    Yes. The App supports multi-year comparison, trend analysis, year-over-year changes, and provisional versus final financial statement comparison.

    8. Does the App generate reports?

    Yes. The Report section creates narrative analysis, interprets KPIs, highlights critical areas, and links results to possible corrective actions.

    9. Can I export data?

    Yes. The App supports Excel, CSV, and JSON backup export, allowing users to store, share, process, or restore data.

    10. Where are data stored?

    Data are stored locally in the browser through IndexedDB. JSON backup and restore functions are also available.

  • 365 search engine: factsheets, glossary, quizzes, exercises, case studies7:00

    SEARCH ENGINE WITH ALGORITHM ON MICROSOFT SOURCES

    Persistent interactions on your PC even on notepad notes, attached files and recorded links of educational interest: you find everything when you later reconnect to the web page.

    The search system allows you to easily and immediately explore content from official Microsoft sources, helping the user to quickly find updated material, guides, news and insights. The use is natural: you enter a keyword and the system returns relevant results, organized in clear and easily searchable cards. You can narrow your search by choosing specific periods or focusing on a certain application or area of Microsoft 365, so you get only what you really need. During processing, the interface shows the progress and, once the search is complete, presents the contents in an orderly manner, with a title, a short description and direct access to the original asset. The goal is to offer a single point in which to stay up to date and find reliable information, making the whole process faster, smoother and oriented towards continuous training and professional updating.

    A dedicated popup is available for each application, accessible from the relevant button, which allows you to automatically generate a collection of the news of the last 365 days, accompanied by tools designed for training and in-depth analysis. Within the same environment there is in fact a glossary of fundamental terms, a quiz with 20 multiple-choice questions, a structured exercise with an indication of the success criterion for each step and a collection of 100 real business cases from which to draw practical ideas for the use of the application. A popup dedicated to free search is also available, equipped with a drop-down menu that suggests features and topics to explore, so as to guide the user in discovering the most relevant topics. All these elements make the system a single and reliable place to update, learn and improve your skills in the Microsoft 365 ecosystem, with an experience designed to be fluid, clear and oriented towards continuous training.

  • Connect to the search engine. Form with persistent data over time on PC0:02
  • Search Card: Simultaneous search on Wikipedia, Bing, Google, and YouTube. Video1:55
  • Connect to the search module

Requirements

  • No computer skills are required, much less programming skills with code
  • Familiarity with using a PC

Description

COURSE NEWS (starting April 2026)

Interactive web prompt generator for AI on Microsoft 365 and Google Workspace apps.


WHAT'S NEW IN THE COURSE (from January 2026)

1. Search engine with algorithm on Microsoft sources: preview VIDEO features in section 1.

Administration environments and all individual applications.

- Generation of cards with news last 365 days from the moment of click;

- Glossary;

- Multiple choice quiz with explanation of correct answers;

- Exercise with detailed steps and success verification criterion;

- 100 ideas for use in the company that can be filtered by company sector (e.g. management control);

- My Home page: the starting point for searches by topic categories;

- Notepad: Recording notes, attachments, and links.

2. Web-based expression and graph simulator for 240 DAX functions (including combinations). Preview in section 1.

3. GANTT Web module to plan learning. Preview in section 1.

4. All eBooks can also be consulted online with navigable indexes. Preview in section 1.

_______________________

THE DIGITAL DESK
Here you are given an overview of all the educational resources, so you can immediately see the entire training toolkit and understand its practical value and the richness of its contents.
This introduction is specifically designed to help you clearly assess whether the course truly offers what you are looking for before proceeding with the purchase, providing a transparent, straightforward preview with no unexpected elements.
The aim is to present a neat, coherent and instantly accessible framework that recreates the experience of a digital desk, where every work tool is already ready, accessible and perfectly organized.

In addition to the video lessons, you have access to the following resources:
8 eBooks dedicated to Microsoft 365 applications, useful for exploring each topic in a structured and methodical way.

Database with 7000 ready-to-use DAX formulas for customization (see eBook)
540 clickable PowerPoint slides, structured like a mini‑website that supports the video lessons.
Interactive web modules where you can freely and naturally write notes.
File‑attachment functionality, allowing you to collect personal materials directly inside the modules.
The ability to save useful links, keeping them neatly organized in one place.
Local persistence (local storage): all your notes, files and links remain on your PC, ready for future sessions.

A FUNCTIONAL DIGITAL ENVIRONMENT THAT REPRODUCES THE PRACTICALITY OF A WORK DESK ALWAYS AVAILABLE.


WITH THE VIDEO LESSONS YOU WILL LEARN TO:

- Connecting Existing Microsoft Excel Data Source to Power BI;

- Connecting Existing Microsoft Sharepoint Data Source to Power BI;

- Building Reports and Dashboards with Charts and Tables in Power BI;

- Dashboard Analysis;

- Automatically refresh datasets in Power BI with Power Automate;

- Setting up your Microsoft 365 account: creating users and groups as app users.


MICROSOFT CERTIFICATION - Last section of the course

120 study articles and 1,800 multiple-choice quizzes with correct answer explanations.

Who this course is for:

  • Company employees who handle data
  • Business Strategy and ISO 9001 Consultants and Internal Quality Managers
  • Corporate management control managers
  • Job seekers who want to include this in-demand skill on their resume