{"product_id":"ai-data-analyst-for-finance-professionals","title":"AI \u0026 Data Analyst For Finance Professionals","description":"\u003c!--description--\u003e\n\u003cdiv class=\"small_desc\"\u003e\n\u003cp\u003eAI \u0026amp; Data Analyst for Finance Professionals is a specialized training program designed to help finance professionals build strong analytical skills by combining data analysis techniques with modern AI capabilities. As finance functions increasingly rely on data-driven insights, this course focuses on how to analyze, interpret, and transform financial data into meaningful business intelligence.\u003c\/p\u003e\n\u003cp\u003e\nThe program covers the complete analytics workflow—from data preparation and analysis to visualization and insight generation—using tools and techniques relevant to finance. Participants will learn how to work with financial datasets, perform data analysis, identify trends, and generate actionable insights that support decision-making.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!--description--\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c!--statistics--\u003e\n\u003c!--statistics--\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c!--eligibility-criteria--\u003e\n\u003cp\u003eThis instructor-led training program is designed for professionals who want to strengthen their data analysis skills and apply AI techniques within finance workflows to improve reporting, analysis, and decision-making.\u003cbr\u003eIt is suitable for:\u003cbr\u003e\n  \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003eFinance professionals, accountants, and financial analysts looking to enhance their data analysis capabilities.\n\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003eFP\u0026amp;A professionals working on budgeting, forecasting, and financial performance analysis\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003eBusiness analysts and reporting professionals working with financial and operational data.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003eProfessionals involved in management reporting and data-driven decision-making.\n\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003eExcel users looking to move into data analytics and modern reporting tools.\u003cbr\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003eIndividuals interested in combining data analytics and AI for finance use cases.\u003cbr\u003e \nA basic understanding of financial concepts and familiarity with Excel or data handling will help participants gain maximum value from the course. Prior experience in data analytics or AI is not required, as the course is designed to build skills progressively.\u003c\/p\u003e\n\u003c!--eligibility-criteria--\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c!--course-curriculum--\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 1: Foundations of LLM models \u0026amp; prompt engineering\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n      1.1 Copilot MS 365 interface walkthrough \u003cbr\u003e\n1.2 Basics of prompt engineering\u003cbr\u003e\n1.3 Getting started with Copilot prompts\u003cbr\u003e\n1.4 Prompting techniques for business practitioners\u003cbr\u003e\n1.5 Copilot chat vs app skills\u003cbr\u003e\n1.6 Knowledge graphs vs vector stores\u003cbr\u003e\n1.7 LLM model comparison - ChatGPT vs Claude vs Gemini vs Meta Llama\u003cbr\u003e\n    \u003c\/p\u003e\n\u003cp\u003e\n\u003cb\u003eTools covered : Copilot 365 | Claude | ChatGPT | KIMI | Meta Llama | Google Gemini\u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 2: Microsoft Office productivity tools with Copilot\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n      2.1 Develop Excel formulas, functions, pivot tables, charts, graphs and dashboards with Excel Copilot \u0026amp; Excel Agent \u003cbr\u003e\n2.2 Design infographics for PowerPoint presentation, ground based on enterprise data with Copilot graphs, design \u0026amp; animate with Copilot PPT capabilities, compare with Prezi presentation \u0026amp; KIMI\u003cbr\u003e\n2.3 Draft casual writeups, compare tone \u0026amp; formats with Copilot Notepad\u003cbr\u003e\n2.4 Use semantic search in Outlook emails, draft and respond to emails with customized instructions based on business functions\u003cbr\u003e\n2.5 Collaborate effectively with Teams, capture meeting notes and perform custom prompts on meeting transcripts\u003cbr\u003e\n2.6 Draft \u0026amp; refine official letter using Word, generate insights from long Word documents, analyze risks on Word documents. Compare with Pitch Power \u0026amp; Humata for official documentation\u003cbr\u003e\n2.7 Use Copilot for Whiteboard \u0026amp; OneNote effectively\u003cbr\u003e\n2.8 Use Bookings with Outlook \u0026amp; Sway for presentation\u003cbr\u003e\n    \u003c\/p\u003e\n\u003cp\u003e\n\u003cb\u003eTools covered : Copilot for MS Office applications | Humata | Pitch Power | Prezi | Sway | Bookings\u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 3: Persona based prompting, projects \u0026amp; notebooks\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n      3.1 Understand role-specific prompting for analysts, managers, and strategists \u003cbr\u003e\n3.2 Create and organize prompt business libraries using libraries\u003cbr\u003e\n3.3 Develop customized notebooks with Copilot for specific tasks \u0026amp; functions\u003cbr\u003e\n3.4 Create projects with ChatGPT\u003cbr\u003e\n3.5 Create storage vectors for projects \u0026amp; notebooks with custom personas \u0026amp; OneDrive\u003cbr\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n\u003cb\u003eTools covered : Persona libraries | Notebook with Copilot | Vectors with OneDrive | Projects with ChatGPT \u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 4: Research, analytics, KPIs \u0026amp; strategy with AI agents\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n      4.1 Prompting techniques for research, qualitative analysis, strategy formulation \u0026amp; KPI generation \u003cbr\u003e\n4.2 Conduct feasibility studies, SWOT analysis, risk analysis \u0026amp; collect primary data at scale using AI agents\u003cbr\u003e\n4.3 Conduct descriptive analytics with AI analytics agent on group of Excel sheets, PDFs, CRM feeds, Fabric \u0026amp; Azure data sources \u0026amp; other enterprise resources\u003cbr\u003e\n4.4 Predictive analytics and forecasting using AI analyst agent - including project management plan forecasting, risk assessment, operational planning, and financial modelling\u003cbr\u003e\n4.5 Formulate strategy \u0026amp; craft presentation based on research \u0026amp; analytics using multi modal personas \u0026amp; LLMs\u003cbr\u003e\n    \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : AI research agent | AI analytics agent | Machine learning models | ChatGPT | Claude | KPI assistant | Strategic advisor AI agent \u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 5: Workflow automation, enterprise AI tools \u0026amp; business app creation using AI\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n      5.1 Create business apps using Copilot for Power Apps, app builder in Copilot 365, compare Google AI Studio \u0026amp; Replit\u003cbr\u003e\n5.2 Automate business process using workflow frontier and Power Automate with Copilot, compare with Make.com \u0026amp; N8N workflows\u003cbr\u003e\n5.3 Use Copilot for OneDrive - smart retrievals, comparing file versions and document management\u003cbr\u003e\n5.4 Use Copilot for SharePoint to create pages, posts, lists, libraries, surveys and forms\u003cbr\u003e\n5.5 Integrate SharePoint, Power Apps \u0026amp; Power Automate for end to end business process mining and workflow automation\u003cbr\u003e\n5.6 Copilot for Loop \u0026amp; Power Pages portal\u003cbr\u003e\n    \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : Power Apps | Copilot app builder | Google AI Studio | Replit | Workflow frontier | Power Automate | OneDrive | SharePoint | Make.com | N8N workflows | Loop | Power Pages portal \u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 6: Machine learning model for predictive and prescriptive modelling\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n     6.1 Analytics prompting using ML model - types and functions \u003cbr\u003e\n6.2 Predictive analytics and forecasting using different machine learning models - why, when, where \u0026amp; how\u003cbr\u003e\n6.3 Apply ML models based on the business case studies\u003cbr\u003e\n6.4 Build simple models for project timeline forecasting\u003cbr\u003e\n6.5 Develop risk prediction tools to identify potential bottlenecks\u003cbr\u003e\n6.6 Create financial models for planning and budgeting\u003cbr\u003e\n6.7 Integrate forecasting into day-to-day business operations using ML model instructions\u003cbr\u003e\n    \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : ML models - linear regression | SARIMA \u0026amp; ARIMA | Decision tree | KNN | Regression models\u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 7: Graphics \u0026amp; video generation using AI\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n     7.1 Create infographics with Copilot Create, KIMI \u0026amp; Nano Banana Pro\u003cbr\u003e\n7.2 Document to video using Copilot Create\u003cbr\u003e\n7.3 Avatar based production using HeyGen\u003cbr\u003e\n7.4 Explore Sora and Veo 3 for cinematic graphic production \u0026amp; video generation\u003cbr\u003e\n7.5 Prompts for infographic, video generation and developing brand kits\u003cbr\u003e\n  \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : Create with Copilot | HeyGen | Veo 3 | KIMI | Nano Banana | Brand kits | Sora \u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 8: Agent creation using Copilot, Gemini Pro, Claude \u0026amp; custom GPT\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n    8.1 Foundations of instructional prompting, contextual grounding, chain of thoughts prompting, linked prompts, \u0026amp; comparative prompts\u003cbr\u003e\n8.2 AI agent types overview - retrieval agents vs augmented agents vs automated agents vs AI agentic framework\u003cbr\u003e\n8.3 Copilot Studio overview and capabilities deep dive - instructions, topics, tools, MCPs, knowledge, channels \u0026amp; evaluations\u003cbr\u003e\n8.4 Build, test \u0026amp; deploy a custom RAG agent with Copilot, SharePoint \u0026amp; OneDrive\u003cbr\u003e\n8.5 Build a RAG custom GPT with OpenAI, Claude \u0026amp; Gemini Pro - compare and demonstrate capabilities\u003cbr\u003e\n8.6 Evaluations \u0026amp; groundings for RAG agents\u003cbr\u003e\n  \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : Instructional prompting | Copilot Studio | Google AI Studio | Claude Sonnet \u0026amp; Haiku | Custom GPTs | Gemini Pro \u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 9: AI agentic framework - MCPs, tools, triggers \u0026amp; automation workflow with Copilot Studio\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n9.1 Create focused topics with variables, triggers \u0026amp; conversational flow\u003cbr\u003e\n9.2 Ground chain of thoughts prompts with tools\u003cbr\u003e\n9.3 Trigger agent workflow based on a condition and trigger external workflow from agents using Power Automate\u003cbr\u003e\n9.4 Tag triggers, topics, tools \u0026amp; knowledge sources with contextual instructions\u003cbr\u003e\n9.5 Ground machine learning models with AI instructional prompts\u003cbr\u003e\n9.6 Create \u0026amp; integrate MCP servers \u0026amp; protocols for internal \u0026amp; external apps action \u0026amp; data retrieval\u003cbr\u003e\n9.7 Build connections between AI agents \u0026amp; develop a comprehensive AI agentic framework\u003cbr\u003e\n  \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : Copilot Studio deep dive\u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cdiv class=\"prod-faq-content\"\u003e\n  \u003cdiv class=\"prod-faq-main\"\u003e\n    \u003cp class=\"prod-faq-title\"\u003eModule 10: AI in Finance\u003c\/p\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n    \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n      \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n    \u003c\/svg\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n    \u003cp\u003e\n10.1 Introduction to Generative AI in Finance\u003cbr\u003e\n10.2 AI Tools for Finance Workflows\u003cbr\u003e\n10.3 AI for Financial Reporting\u003cbr\u003e\n10.4 AI for Financial Analysis\u003cbr\u003e\n10.5 AI for Budgeting and Forecasting\u003cbr\u003e\n10.6 AI for Documentation and Communication\u003cbr\u003e\n10.7 Prompt Engineering for Finance\u003cbr\u003e\n10.8 Real-World Finance Use Cases\u003cbr\u003e\n10.9 AI Governance and Best Practices\u003cbr\u003e\n\n  \u003c\/p\u003e\n  \u003cp\u003e\n\u003cb\u003eTools covered : Copilot Studio deep dive\u003c\/b\u003e\n\u003c\/p\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 11: Induction Class\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e11.1 Introduction to Power BI\u003cbr\u003e11.2 Downloading Power BI \u0026amp; Adjusting Settings\u003cbr\u003e11.3 Introduction to Curriculum\u003cbr\u003e11.4 Exploring the Power BI Desktop Interface \u0026amp; Workflow\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 12: Power Query - Shaping your Enterprise Data\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e12.1 Get Started with Power Query\u003cbr\u003e12.2 Get Data from File Sources - Excel Table, PDF Invoices \u0026amp; Others\u003cbr\u003e12.3 Get Data from Online Sources - SharePoint, Outlook, Dynamics 365, Web APIs \u0026amp; Default connectors.\u003cbr\u003e12.4 Get Data from Fabric Warehouse – Data Flow\u003cbr\u003e12.5 Data Access, Path \u0026amp; Permission Settings in Power Query\u003cbr\u003e12.6 Data Validation Steps \u0026amp; Basic Statistics\u003cbr\u003e12.7 Automate Daily Reports, Timesheets \u0026amp; Invoices using Append \u0026amp; Combine Option\u003cbr\u003e12.8 Prepare Summary Tables \u0026amp; Aggregates\u003cbr\u003e12.9 Reshape your Operational Data using Pivot, Unpivot\u003cbr\u003e12.10 Transform Tables \u0026amp; Generic Columns\u003cbr\u003e12.11 Derive KPIs \u0026amp; Flags Using Conditional columns \u0026amp; Custom columns\u003cbr\u003e12.12 Create a reporting workflow \u0026amp; Enable Process Automation using Applied steps\u003cbr\u003e12.13 Automate Look Up, Filtering \u0026amp; Reconciliation Process using Merge Query (SQL Joins)\u003cbr\u003e12.14 Apply Logical Transformation - On Values\u003cbr\u003e12.15 Query Settings, Selective Load \u0026amp; Performance Troubleshooting\u003cbr\u003e12.16 Case Study – Project Performance Reporting\u003cbr\u003e12.17 Case Study – Sales Performance Reporting\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 13: Data Modelling \u0026amp; Relationships between entities\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e13.1 What is Data Modelling?\u003cbr\u003e13.2 Jump Start - Connect with an existing Semantic Model\u003cbr\u003e13.3 Fact Vs Dimension Table - Difference between Primary Key \u0026amp; Foreign Key\u003cbr\u003e13.4 Naming \u0026amp; Sorting the Columns\u003cbr\u003e13.5 Normalization vs Denormalization - Importance of modelling\u003cbr\u003e13.6 Difference between Merge \u0026amp; Relate\u003cbr\u003e13.7 Understand Relationship types, Cardinality \u0026amp; Cross Filter direction\u003cbr\u003e13.8 Design a Consistent Star Schema in the Data Model\u003cbr\u003e13.9 Scenarios for using Snowflake Schema for Parent Child Hierarchical reporting\u003cbr\u003e13.10 Design Date Dimensions for Automating Periodic Reporting - Monthly, Weekly, Daily, Year Reports\u003cbr\u003e13.11 Add Bridge Tables \u0026amp; Handle Many-to-Many Relationships for Group of Companies or Portfolio Reporting\u003cbr\u003e3.12 Create Hierarchy, Groups \u0026amp; Bins for Categorical Analysis\u003cbr\u003e13.13 Import or Direct Query the tables from the source\u003cbr\u003e13.14 Control Row level Access to Reports \u0026amp; Data by Roles\u003cbr\u003e13.15 Publish \u0026amp; Manage Automated Data Refresh to Semantic Model in Fabric\u003cbr\u003e13.16 Optimize model Performance\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 14: Dax Functions\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e14.1 Simplify Multi-Dimensional KPI Reporting Using DAX, Quick Measures, Visual Calculations \u0026amp; Copilot\u003cbr\u003e14.2 Utilize Dax for Columns, Measures, Tables \u0026amp; Functions\u003cbr\u003e14.3 Use DAX for Displaying Core Business Process KPIs using Quick Measures\u003cbr\u003e14.4 Enhance Business Insights with DAX: Monthly, Quarterly, and Yearly Growth Metrics\u003cbr\u003e14.5 Create Cross Functional KPIs Such as Fin Tech, Marketing Ops, Sales Tech\u003cbr\u003e14.6 Leverage DAX for Dynamic \u0026amp; Real time Reporting\u003cbr\u003e14.7 Apply DAX for Forecasting Future Trends Using Historical Data\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 15: Visualizations I\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e15.1 Charts \u0026amp; Graphs\u003cbr\u003e15.2 Tables \u0026amp; Matrices\u003cbr\u003e15.3 Cards \u0026amp; KPIs\u003cbr\u003e15.4 Maps \u0026amp; Geographic Visualizations\u003cbr\u003e15.5 Gauges\u003cbr\u003e15.6 Slicers \u0026amp; Filters.\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 16: Visualizations II\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e16.1 Drill through \u0026amp; Drill down\u003cbr\u003e16.2 Bookmarks \u0026amp; Interactivity\u003cbr\u003e16.3 Themes \u0026amp; Formatting\u003cbr\u003e16.4 Tools Tips\u003cbr\u003e16.5 Water Fall Charts \u0026amp; Funnel Charts\u003cbr\u003e16.6 Custom Visuals.\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-content\"\u003e\n\u003cdiv class=\"prod-faq-main\"\u003e\n\u003cp class=\"prod-faq-title\"\u003eModule 17: Power BI for Finance\u003c\/p\u003e\n\u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-plus\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M8 1.25C8.41421 1.25 8.75 1.58579 8.75 2V7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H8.75V14C8.75 14.4142 8.41421 14.75 8 14.75C7.58579 14.75 7.25 14.4142 7.25 14V8.75H2C1.58579 8.75 1.25 8.41421 1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H7.25V2C7.25 1.58579 7.58579 1.25 8 1.25Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e \u003csvg width=\"16\" height=\"16\" viewbox=\"0 0 16 16\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"prod-faq-icon prod-faq-minus\" style=\"display: none;\"\u003e\n         \u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M1.25 8C1.25 7.58579 1.58579 7.25 2 7.25H14C14.4142 7.25 14.75 7.58579 14.75 8C14.75 8.41421 14.4142 8.75 14 8.75H2C1.58579 8.75 1.25 8.41421 1.25 8Z\"\u003e\u003c\/path\u003e\n      \u003c\/svg\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"prod-faq-answer-content\" style=\"display: none;\"\u003e\n\u003cp\u003e17.1 Introduction\u003cbr\u003e17.2 Data Preparation \u0026amp; Transformation\u003cbr\u003e17.3 Data Modeling for Finance\u003cbr\u003e17.4 Financial Calculations (DAX Basics)\u003cbr\u003e17.5 Financial Dashboard Development\u003cbr\u003e17.6 Advanced Visualizations \u0026amp; Interactivity\u003cbr\u003e17.7 Reporting \u0026amp; Sharing\u003cbr\u003e17.8 Real-Time Financial Use Cases\u003cbr\u003e17.9 Best Practices \u0026amp; Governance\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!--course-curriculum--\u003e\n\u003c!--course-feature--\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eFinance + Data Analytics Focus :\u003c\/b\u003eThe course is designed specifically for finance professionals, combining financial concepts with data analysis techniques.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eHands-On Data Analysis Practice :\u003c\/b\u003eWork with real financial datasets to perform analysis, identify trends, and generate meaningful insights.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eEnd-to-End Analytics Workflow :\u003c\/b\u003eLearn how to reduce manual effort in repetitive finance tasks and improve efficiency in day-to-day operations.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eAI-Assisted Financial Reporting : \u003c\/b\u003eLearn the complete process from data preparation and cleaning to analysis, visualization, and reporting.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eAI-Enhanced Data Analysis :\u003c\/b\u003eUnderstand how AI tools can support data interpretation, automate analysis, and improve reporting efficiency.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eFinancial Reporting \u0026amp; Insight Generation :\u003c\/b\u003eLearn how to convert raw financial data into structured reports and actionable business insights.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eVisualization \u0026amp; Dashboard Basics :\u003c\/b\u003eUnderstand how to present financial data clearly using charts, dashboards, and reporting tools.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eReal-World Finance Use Cases : \u003c\/b\u003eApply learning through practical scenarios such as performance analysis, trend identification, and financial reporting.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eReusable Templates \u0026amp; Practice Files :\u003c\/b\u003eGet access to datasets, templates, and examples to support continued practice and real-world application.\u003cbr\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Pointers.jpg?v=1664282510\" alt=\"\" width=\"23\" height=\"23\"\u003e\u003cb\u003eImplementation \u0026amp; Best Practices :\u003c\/b\u003eLearn how to apply analytics and AI techniques effectively within finance teams and business environments.\u003cbr\u003e\n\u003c!--course-feature--\u003e\n\u003c!--faq--\u003e\n\u003csection class=\"faq-with-accordion\"\u003e\n\u003cdiv class=\"faq-nav\"\u003e\n\u003cinput placeholder=\"Search questions…\" type=\"text\" id=\"faq-search\"\u003e\n\u003cdiv class=\"tabs\"\u003e\n\u003cbutton data-name=\"Technical\" data-target=\"#general-faq\" class=\"tab active\"\u003e\u003cspan\u003eTechnical\u003c\/span\u003e\u003c\/button\u003e \u003cbutton data-name=\"Administrative\" data-target=\"#shipping-faq\" class=\"tab\"\u003e\u003cspan\u003eAdministrative\u003c\/span\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq-content active\" data-name=\"Technical\" id=\"general-faq\"\u003e\n\u003cdiv class=\"faq-items\"\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eWhat technical skills will I gain from this course?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eThis course helps participants develop practical skills in financial data analysis and AI-supported reporting. Learners will understand how to prepare and clean financial data, perform analysis on revenue, expenses, and profitability, and identify trends and patterns. In addition, participants will gain exposure to data visualization techniques and learn how to generate structured insights. The course also introduces how AI can support data interpretation and improve reporting efficiency, helping learners build a strong foundation in modern finance analytics.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eWill I learn how to analyze real financial datasets?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eThe training includes hands-on exercises using datasets that reflect real-world financial scenarios. Participants will work with structured data similar to what is used in financial reporting, enabling them to understand how to clean, analyze, and interpret financial information effectively. This practical approach ensures that learners are prepared to apply their skills in real business environments.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eDoes the course cover both data analytics and AI concepts?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eThe course combines data analytics fundamentals with practical AI applications. Participants will first learn how to analyze financial data using structured techniques and then understand how AI tools can enhance this process. This includes using AI for data interpretation, insight generation, and reporting support. The goal is to provide a balanced understanding of both analytics and AI within finance workflows.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eDo I need programming knowledge to take this course?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eThe course is designed for finance professionals and does not require prior programming knowledge. It focuses on practical tools and techniques that can be applied without coding. Concepts are explained in a simple and structured manner, making it accessible to participants from non-technical backgrounds. Basic familiarity with Excel or data handling will be sufficient to follow the course.\n\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eWill I learn how to present data insights effectively?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eParticipants will learn how to convert analysis into clear and structured reports that can be used for decision-making. The course covers how to present financial insights using charts, dashboards, and summaries that are easy to understand. This helps learners communicate findings effectively to stakeholders and leadership teams.\n\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"view-toggle-btn\"\u003eView More\u003c\/button\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq-content\" data-name=\"Administrative\" id=\"shipping-faq\"\u003e\n\u003cdiv class=\"faq-items\"\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eHow can I enroll in the AI \u0026amp; Data Analyst for Finance Professionals instructor-led training program?\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eTo enroll, visit the course section above and click on “Enroll Now” to complete your registration. Once your enrollment is confirmed, you will receive LMS access along with detailed onboarding information from our administration team. Senior leaders and organizations may also request a demo session or customized training discussion before enrollment. For assistance, contact us via WhatsApp or call \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eHow is the instructor-led training delivered?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eThe training is delivered through live instructor-led sessions, available in both online and classroom formats. Each session includes real-time interaction, guided demonstrations, and hands-on exercises focused on financial data analysis and AI applications. Participants can actively engage with the trainer, work on practical use cases, and receive support throughout the program. For more details about batch formats and schedules, contact us via WhatsApp or call \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eWhat is the duration and schedule of the training program?\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eThe course is typically designed to be completed within 18 to 24 hours, depending on the selected batch and delivery format. Sessions are available on weekdays and weekends to suit working professionals. The schedule is structured to balance concept learning with practical exercises, ensuring participants gain hands-on experience. To check upcoming batches and timings, contact us via WhatsApp or call \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eWill participants receive access to training materials after the sessions?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eParticipants will receive access to all relevant training materials, including datasets, practice files, templates, and reference documents used during the sessions. Where applicable, session recordings may also be provided to help participants revisit concepts and continue practicing after the training. For more details on learning resources, contact us via WhatsApp or call  \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eWill I receive a certificate after completing the training?\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eParticipants who complete the training and required practical exercises will receive a course completion certificate. This certification validates your skills in financial data analysis and AI-supported reporting, helping strengthen your professional profile. For certification-related queries, contact us via WhatsApp or call  \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eCan organizations enroll their teams in this training program?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003eOrganizations can enroll multiple participants or request customized corporate training programs tailored to their business requirements. We also offer private batches and customized learning paths focused on finance analytics and AI use cases. For corporate training inquiries, contact us via WhatsApp or call  \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"accordion-item\"\u003e\n\u003cbutton aria-expanded=\"false\"\u003e\u003cspan\u003eIs there any support provided after the training is completed?\n\u003c\/span\u003e\u003c\/button\u003e\n\u003cdiv class=\"accordion-content\"\u003e\n\u003cp\u003ePost-training support is available to help participants apply their learning in real-world scenarios. This may include guidance on projects, clarification sessions, and additional learning resources. Our team ensures continued support even after course completion. For support details, contact us via WhatsApp or call  \u003ca href=\"https:\/\/wa.me\/974070797089\"\u003e+974 7079 7089 \u003c\/a\u003e, or email \u003ca href=\"mailto:info@teamacademy.net\"\u003einfo@teamacademy.net.\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbutton class=\"view-toggle-btn\"\u003eView More\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!--faq--\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\n\u003c!--reviews--\u003e\n\u003cp data-mce-fragment=\"1\"\u003eWe are rated 5 Star in all our social platforms , all these are open public platforms , we count our feedbacks very carefully. \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cimg height=\"156\" width=\"156\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Facebook_Ratings_480x480.png?v=1640863424\" alt=\"\"\u003e\u003cimg height=\"156\" width=\"156\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Google_Ratings_480x480.png?v=1640863557\" data-mce-fragment=\"1\"\u003e\u003cimg height=\"157\" width=\"157\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/Trustpilot_Ratings_0cdecacb-73cf-47b0-874e-09efb23f67f6_480x480.png?v=1640863590\" data-mce-fragment=\"1\"\u003e\u003c\/p\u003e\n\u003c!--reviews--\u003e\n\u003cdiv id=\"sconnect-is-installed\" style=\"display: none;\"\u003e\u003c\/div\u003e\n\u003cp data-mce-fragment=\"1\"\u003e \u003c\/p\u003e\n","brand":"teamacademy","offers":[{"title":"Default Title","offer_id":49024210108639,"sku":null,"price":2800.0,"currency_code":"QAR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0606\/5327\/3311\/files\/AI_dataanalystforfinance.jpg?v=1777269502","url":"https:\/\/ae.teamacademy.net\/products\/ai-data-analyst-for-finance-professionals","provider":"Team Academy","version":"1.0","type":"link"}