{"id":14776,"date":"2022-12-29T08:27:24","date_gmt":"2022-12-29T07:27:24","guid":{"rendered":"https:\/\/www.itta.net\/formations\/microsoft_power_bi_data_analyst\/"},"modified":"2026-03-22T10:53:11","modified_gmt":"2026-03-22T09:53:11","slug":"microsoft-power-bi-data-analyst","status":"publish","type":"formations","link":"https:\/\/www.itta.net\/en\/trainings\/it-pro\/analytics-data-management\/microsoft-power-bi-data-analyst\/","title":{"rendered":"Design and manage analytics solutions using Power BI (PL-300)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Organizations accumulate growing volumes of data without being able to extract actionable insights on a daily basis. Excel spreadsheets reach their limits when facing data complexity, manual reports consume precious time and strategic decisions are made without reliable visualizations or up-to-date indicators. This lack of structured analytical skills directly hampers business team performance and the company&#8217;s ability to react quickly to market changes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The PL-300 training transforms you into an operational, certified Power BI data analyst. Over 3 intensive days, you learn to connect varied data sources, transform and clean data with Power Query, model relationships using a star schema, create advanced measures with the DAX language, design impactful interactive visualizations and publish secure reports on the Power BI service. Hands-on exercises on cloud labs confront you with real datasets drawn from professional contexts. Delivered by MCT-certified trainers at ITTA in Geneva and Lausanne, this official MOC training prepares you for the Microsoft PL-300 Data Analyst Associate certification.<\/p>\n","protected":false},"featured_media":41244,"parent":0,"menu_order":0,"template":"","editeurs":[1488,1493],"domaine":[1254,1253],"class_list":["post-14776","formations","type-formations","status-publish","has-post-thumbnail","hentry","editeurs-microsoft","editeurs-power-bi-microsoft","domaine-analytics-data-management","domaine-it-pro"],"acf":{"reference":"PL-300T00","duree_nombre":3,"duree_unite":"jour","prix_virtuel":2350,"prix_presentiel":2500,"prix_blended":"","prix_elearning":"","views":6164,"niveau":["Interm\u00e9diaire"],"role":"","certifiant":["Certifiant"],"pdus":"","lieux":["Gen\u00e8ve","Lausanne"],"formats_dapprentissage":["presentiel","virtuel"],"examen_inclus":"Optionnel","garanti":[""],"financement":["Temptraining"],"description_temptraining":"","description_caf":"","description_title":"Design and manage analytics solutions using Power BI Training (PL-300)","objectifs":"<ul>\r\n \t<li>Prepare and transform data with Power Query Editor<\/li>\r\n \t<li>Design an optimized data model in Power BI Desktop<\/li>\r\n \t<li>Create advanced measures and calculations with the DAX language<\/li>\r\n \t<li>Design interactive visualizations and dashboards<\/li>\r\n \t<li>Publish and share reports on the Power BI service<\/li>\r\n \t<li>Manage row-level security and workspaces<\/li>\r\n<\/ul>","connaissances":"<ul>\r\n \t<li>Understanding core data concepts<\/li>\r\n \t<li>Knowledge of working with relational data in the cloud<\/li>\r\n \t<li>Knowledge of working with non-relational data in the cloud<\/li>\r\n \t<li>Knowledge of data analysis and visualization concepts<\/li>\r\n<\/ul>","profils_participants":"<ul>\r\n \t<li>Data Analysts<\/li>\r\n \t<li>Data professionals and decision support professionals who wish to learn how to accurately perform data analysis using Power BI.<\/li>\r\n \t<li>Anyone involved in developing reports that visualize data from data platform technologies existing both in the cloud and on-premises<\/li>\r\n<\/ul>","examen":"<ul>\r\n \t<li>This course prepares you to the PL-300: Microsoft Power BI Data Analyst exam.<\/li>\r\n<\/ul>","documentation":"<ul>\r\n \t<li>Access to Microsoft Learn (online learning content)<\/li>\r\n<\/ul>","lab__exercices":"<ul>\r\n \t<li>Microsoft Official Labs<\/li>\r\n<\/ul>","contenu_cours":"<strong>Module 1: Discover data analysis<\/strong>\n<ul>\n\t<li>Overview of data analysis<\/li>\n\t<li>Roles in data<\/li>\n\t<li>Tasks of a data analyst<\/li>\n<\/ul>\n<strong>Module 2: Get started building with Power BI<\/strong>\n<ul>\n\t<li>Use Power BI<\/li>\n\t<li>Building blocks of Power BI<\/li>\n\t<li>Tour and use the Power BI service<\/li>\n<\/ul>\n<strong>Module 3: Introduction to end-to-end analytics using Microsoft Fabric<\/strong>\n<ul>\n\t<li>Explore end-to-end analytics with Microsoft Fabric<\/li>\n\t<li>Explore data teams and Microsoft Fabric<\/li>\n\t<li>Enable and use Microsoft Fabric<\/li>\n<\/ul>\n<strong>Module 4: Get started with Copilot in Power BI<\/strong>\n<ul>\n\t<li>Use Copilot in Power BI to prepare and model data<\/li>\n\t<li>Create reports with Copilot in Power BI<\/li>\n\t<li>Get your data ready for AI usage in Power BI<\/li>\n<\/ul>\n<strong>Module 5: Get data in Power BI<\/strong>\n<ul>\n\t<li>Get data from files<\/li>\n\t<li>Get data from relational data sources<\/li>\n\t<li>Create dynamic reports with parameters<\/li>\n\t<li>Get data from a NoSQL database<\/li>\n\t<li>Get data from online services<\/li>\n\t<li>Select a storage mode<\/li>\n\t<li>Get data from Azure Analysis Services<\/li>\n\t<li>Fix performance issues<\/li>\n\t<li>Resolve data import errors<\/li>\n<\/ul>\n<strong>Module 6: Clean, transform, and load data in Power BI<\/strong>\n<ul>\n\t<li>Shape the initial data<\/li>\n\t<li>Simplify the data structure<\/li>\n\t<li>Evaluate and change column data types<\/li>\n\t<li>Combine multiple tables into a single table<\/li>\n\t<li>Profile data in Power BI<\/li>\n\t<li>Use Advanced Editor to modify M code<\/li>\n<\/ul>\n<strong>Module 7: Choose a Power BI model framework<\/strong>\n<ul>\n\t<li>Describe Power BI model fundamentals<\/li>\n\t<li>Determine when to develop an import model<\/li>\n\t<li>Determine when to develop a DirectQuery model<\/li>\n\t<li>Determine when to develop a composite model<\/li>\n\t<li>Choose a model framework<\/li>\n<\/ul>\n<strong>Module 8: Configure a semantic model<\/strong>\n<ul>\n\t<li>Configure relationships<\/li>\n\t<li>Configure tables<\/li>\n\t<li>Configure columns<\/li>\n\t<li>Configure hierarchies<\/li>\n\t<li>Configure measures<\/li>\n\t<li>Configure parameters<\/li>\n<\/ul>\n<strong>Module 9: Write DAX formulas for semantic models<\/strong>\n<ul>\n\t<li>Understand DAX calculation types<\/li>\n\t<li>Write DAX formulas<\/li>\n\t<li>DAX data types<\/li>\n\t<li>Work with DAX functions<\/li>\n\t<li>Use DAX operators<\/li>\n\t<li>Use DAX variables<\/li>\n<\/ul>\n<strong>Module 10: Create DAX calculations in semantic models<\/strong>\n<ul>\n\t<li>Create calculated tables<\/li>\n\t<li>Create calculated columns<\/li>\n\t<li>Understand implicit measures<\/li>\n\t<li>Create explicit measures<\/li>\n\t<li>Use iterator functions<\/li>\n<\/ul>\n<strong>Module 11: Modify DAX filter context in semantic models<\/strong>\n<ul>\n\t<li>Understand filter context<\/li>\n\t<li>Modify filter context<\/li>\n\t<li>Use filter modifier functions<\/li>\n\t<li>Examine filter context<\/li>\n\t<li>Perform context transition<\/li>\n<\/ul>\n<strong>Module 12: Use DAX time intelligence functions in semantic models<\/strong>\n<ul>\n\t<li>Use DAX time intelligence functions<\/li>\n\t<li>Additional time intelligence calculations<\/li>\n<\/ul>\n<strong>Module 13: Create visual calculations in Power BI Desktop<\/strong>\n<ul>\n\t<li>Understand visual calculations<\/li>\n\t<li>Create visual calculations<\/li>\n\t<li>Use parameters in visual calculations<\/li>\n<\/ul>\n<strong>Module 14: Optimize a model for performance in Power BI<\/strong>\n<ul>\n\t<li>Describe semantic model optimization techniques<\/li>\n\t<li>Review performance of measures, relationships, and visuals<\/li>\n\t<li>Use variables to improve performance and troubleshooting<\/li>\n\t<li>Reduce cardinality<\/li>\n\t<li>Optimize DirectQuery models with table level storage<\/li>\n\t<li>Create and manage aggregations<\/li>\n<\/ul>\n<strong>Module 15: Scope report design requirements<\/strong>\n<ul>\n\t<li>Identify the audience<\/li>\n\t<li>Determine report types<\/li>\n\t<li>Define user interface requirements<\/li>\n\t<li>Define user experience requirements<\/li>\n\t<li>Explore designs in a Power BI report<\/li>\n<\/ul>\n<strong>Module 16: Design Power BI reports<\/strong>\n<ul>\n\t<li>Design the analytical report layout<\/li>\n\t<li>Design visually appealing reports<\/li>\n\t<li>Use report objects<\/li>\n\t<li>Select report visuals<\/li>\n\t<li>Apply filters and slicers to reports<\/li>\n\t<li>Understand filtering techniques and considerations<\/li>\n\t<li>Case study - Configure report filters based on feedback<\/li>\n<\/ul>\n<strong>Module 17: Enhance Power BI report designs for the user experience<\/strong>\n<ul>\n\t<li>Design reports to show details<\/li>\n\t<li>Design reports to highlight values<\/li>\n\t<li>Design reports that behave like apps<\/li>\n\t<li>Work with bookmarks<\/li>\n\t<li>Design reports for navigation<\/li>\n\t<li>Work with visual headers<\/li>\n\t<li>Design reports with built-in assistance<\/li>\n\t<li>Tune report performance<\/li>\n\t<li>Optimize reports for mobile use<\/li>\n<\/ul>\n<strong>Module 18: Perform analytics in Power BI<\/strong>\n<ul>\n\t<li>Explore statistical summary<\/li>\n\t<li>Identify outliers with Power BI visuals<\/li>\n\t<li>Group and bin data for analysis<\/li>\n\t<li>Apply clustering techniques<\/li>\n\t<li>Conduct time series analysis<\/li>\n\t<li>Use the Analyze feature<\/li>\n\t<li>Create what-if parameters<\/li>\n\t<li>Use specialized visuals<\/li>\n<\/ul>\n<strong>Module 19: Manage workspaces in Power BI service<\/strong>\n<ul>\n\t<li>Understand Power BI service<\/li>\n\t<li>Understand workspaces<\/li>\n\t<li>Publish to Power BI service<\/li>\n<\/ul>\n<strong>Module 20: Manage semantic models in Power BI<\/strong>\n<ul>\n\t<li>Use a Power BI gateway to connect to on-premises data sources<\/li>\n\t<li>Configure a semantic model scheduled refresh<\/li>\n\t<li>Configure incremental refresh settings<\/li>\n\t<li>Manage and promote semantic models<\/li>\n\t<li>Boost performance with query caching (Fabric or Premium capacity)<\/li>\n\t<li>Use lineage and impact analysis<\/li>\n<\/ul>\n<strong>Module 21: Choose a content distribution method<\/strong>\n<ul>\n\t<li>Understand sharing models<\/li>\n\t<li>Create a Power BI app<\/li>\n\t<li>Apply data governance principles<\/li>\n\t<li>Track report or dashboard usage<\/li>\n<\/ul>\n<strong>Module 22: Create dashboards in Power BI<\/strong>\n<ul>\n\t<li>Configure data alerts<\/li>\n\t<li>Explore data by asking questions<\/li>\n\t<li>Review Quick insights<\/li>\n\t<li>Add a dashboard theme<\/li>\n\t<li>Pin a live report page to a dashboard<\/li>\n\t<li>Set mobile view<\/li>\n<\/ul>\n<strong>Module 23: Secure data access in Power BI<\/strong>\n<ul>\n\t<li>Configure row-level security with the static method<\/li>\n\t<li>Configure row-level security with the dynamic method<\/li>\n\t<li>Use single sign-on (SSO) for DirectQuery sources<\/li>\n\t<li>Restrict access to Power BI model objects<\/li>\n<\/ul>","cours_recommandes":[47768,136210],"infos_additionnelles":"<h3>Why train in Power BI in 2026<\/h3>\n<p>Power BI has become the leading business intelligence tool with over 300,000 user organizations worldwide. In Switzerland, demand for professionals skilled in Power BI continues to grow, driven by enterprise digital transformation and the need to make data-driven decisions. Certified Power BI analysts turn raw data into decision-making dashboards that guide strategic choices at every level of the organization. This skill is sought after across all sectors: finance, healthcare, manufacturing, public services, consulting and retail. Getting PL-300 certified positions you as a recognized professional capable of creating measurable value from enterprise data. The Swiss job market particularly values this certification, with constantly increasing offers for Data Analyst profiles skilled in Power BI.<\/p>\n<h3>Detailed PL-300 training program<\/h3>\n<p>The first day focuses on data preparation, the fundamental foundation of any successful Power BI project. You learn to connect to varied sources (SQL databases, Excel and CSV files, web services, SharePoint) and transform data with Power Query Editor: cleaning, merging tables, calculated columns and data type management. The second day covers data modeling: you design star schemas, create table relationships and write DAX formulas for advanced calculations including CALCULATE, FILTER and time intelligence functions. The third day focuses on visualization and production deployment. You create interactive reports with charts, slicers and cross-filters. You configure workspaces, Power BI apps and row-level security (RLS). Each module alternates between theory and hands-on labs on a cloud environment.<\/p>\n<h3>Microsoft PL-300 Data Analyst certification<\/h3>\n<p>The PL-300 exam evaluates your ability to prepare data, model, visualize, analyze and deploy Power BI solutions. It includes multiple-choice questions, case studies and practical scenarios. The Microsoft Certified: Power BI Data Analyst Associate certification is valid for one year and renewable free of charge via an online assessment on Microsoft Learn. ITTA's MCT trainers share best practices for preparation, common exam pitfalls and priority areas to deepen. This certification is a worthwhile investment for your career in analytics and business intelligence, with strong recognition from Swiss and international employers.<\/p>\n<h3>ITTA training environment<\/h3>\n<p>ITTA delivers this official MOC training as a Microsoft Learning Partner at its centers in Geneva and Lausanne. Sessions are held on-site or as virtual classes according to your preference. Each participant accesses a dedicated cloud environment with Power BI Desktop, the Power BI service and datasets prepared specifically for the exercises. MCT-certified trainers bring their field experience from Power BI projects deployed in enterprises across various sectors. Groups remain small to allow individualized follow-up, address each participant's specific questions and adapt the pace to group needs.<\/p>\n<h3>Target audience and prerequisites<\/h3>\n<p>This training is designed for data analysts, management controllers, project managers, finance managers and anyone wishing to use Power BI professionally to create reports and dashboards. A good knowledge of Excel and relational databases is recommended to approach the exercises confidently. No prior Power BI experience is strictly required, although familiarity with the tool accelerates progress during labs. Professionals who have completed PL-900 have a solid foundation for this training.<\/p>\n<h3>FAQ<\/h3>\n<p><strong>Do I need to know Power BI before taking the PL-300 training?<\/strong><\/p>\n<p>No, the training starts from Power BI fundamentals. However, knowledge of Excel and relational database concepts greatly facilitates learning over the three days.<\/p>\n<p><strong>What is the difference between PL-300 and PL-900?<\/strong><\/p>\n<p>PL-900 covers the fundamentals of the entire Power Platform in one day. PL-300 focuses exclusively on Power BI at an intermediate level oriented toward data analysis, DAX modeling and report deployment.<\/p>\n<p><strong>Are hands-on labs accessible after the training?<\/strong><\/p>\n<p>Lab environments are available during the training duration. You can continue practicing with the free version of Power BI Desktop downloadable from the Microsoft website.<\/p>\n<p><strong>Does the training cover DAX in depth?<\/strong><\/p>\n<p>Yes, you learn to create measures, calculated columns and calculated tables with DAX. Advanced formulas like CALCULATE, FILTER, ALL and time intelligence functions are covered with hands-on exercises.<\/p>\n<p><strong>Can I take this training as a virtual class?<\/strong><\/p>\n<p>Yes, ITTA offers the PL-300 training on-site in Geneva and Lausanne as well as in virtual class with the same cloud labs and personalized MCT trainer support.<\/p>\n<p><strong>How long is the PL-300 certification valid?<\/strong><\/p>\n<p>The Microsoft Certified: Power BI Data Analyst Associate certification is valid for one year. It can be renewed free of charge via an online assessment on Microsoft Learn before the expiration date.<\/p>","inclus_dans_ce_cours_virtuel":"<ul>\r\n \t<li>Training provided by a certified trainer<\/li>\r\n \t<li>180 days of access to Official Microsoft Labs<\/li>\r\n \t<li>Official documentation in digital format<\/li>\r\n \t<li>Official Microsoft achievement badge<\/li>\r\n<\/ul>","inclus_dans_ce_cours_presentiel":"<ul>\r\n \t<li>Training provided by a certified trainer<\/li>\r\n \t<li>180 days of access to Official Microsoft Labs<\/li>\r\n \t<li>Official documentation in digital format<\/li>\r\n \t<li>Official Microsoft achievement badge<\/li>\r\n<\/ul>","inclus_dans_ce_cours_blended":"","inclus_dans_ce_cours_elearning":"","inclus_dans_ce_cours_surmesure":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Microsoft Power BI Data Analyst Training (PL-300) - ITTA<\/title>\n<meta name=\"description\" content=\"PL-300 Microsoft Power BI Data Analyst training. 3 certified days with hands-on labs in Geneva and Lausanne. Official MOC course.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.itta.net\/en\/trainings\/it-pro\/analytics-data-management\/microsoft-power-bi-data-analyst\/\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/it-pro\\\/analytics-data-management\\\/microsoft-power-bi-data-analyst\\\/\",\"url\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/it-pro\\\/analytics-data-management\\\/microsoft-power-bi-data-analyst\\\/\",\"name\":\"Microsoft Power BI Data Analyst Training (PL-300) - ITTA\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/it-pro\\\/analytics-data-management\\\/microsoft-power-bi-data-analyst\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.itta.net\\\/en\\\/trainings\\\/it-pro\\\/analytics-data-management\\\/microsoft-power-bi-data-analyst\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.itta.net\\\/wp-content\\\/uploads\\\/2022\\\/12\\\/Working-together-on-project.-Two-young-business-colleagues-working-on-computer-936284004_3865x2580-scaled-e1700648380191.jpeg\",\"datePublished\":\"2022-12-29T07:27:24+00:00\",\"dateModified\":\"2026-03-22T09:53:11+00:00\",\"description\":\"PL-300 Microsoft Power BI Data Analyst training. 3 certified days with hands-on labs in Geneva and Lausanne. 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