Excel & Power BI For Data Professionals: Complete Analytics

Master Excel formulas, Power BI dashboards, and advanced DAX for comprehensive business intelligence.

What you’ll learn
Create and manage complex spreadsheets using essential Excel formulas, functions, and formatting techniques for data hygiene.
Analyze large datasets effectively using Excel PivotTables, sorting, filtering, and smart analysis tools to derive initial insights.
Develop interactive, professional-grade dashboards in Microsoft Power BI Desktop and deploy them to the Power BI Service.
Transform and clean raw data from multiple sources using Power Query to prepare robust data models for analysis.
Construct advanced data models by defining relationships between tables and adhering to industry-standard schema best practices.
Write and implement Data Analysis Expressions (DAX) including calculated columns, measures, and time-intelligence functions.
Utilize logical, text, and date-time DAX functions to solve complex business problems and automate reporting logic.
Publish and share secure reports within an organization, understanding the governance of Power BI workspaces.

Requirements
Access to a computer running Microsoft Windows (Power BI Desktop is Windows-only). Microsoft Excel installed (Office 365, 2019, or 2021 recommended). No prior data analysis experience is required; the course begins with fundamentals.

Description
In the current business landscape of 2024–2025, data literacy is no longer a niche skill but a fundamental requirement for operational excellence. Organizations rely on professionals who can not only manage data in spreadsheets but also transform raw metrics into actionable, scalable business intelligence. This master course, Excel & Power BI for Data Professionals: Complete Analytics, is designed to bridge the gap between traditional spreadsheet management and modern data visualization, offering a seamless transition from Microsoft Excel to the robust ecosystem of Microsoft Power BI.Strategic Learning Value This curriculum integrates three distinct competencies into a single, cohesive learning path. It begins by establishing a rigorous foundation in Microsoft Excel, the global standard for data entry and preliminary analysis. Learners will master essential syntax, formatting, and PivotTables, ensuring data hygiene before moving to complex tasks. The course then transitions to Microsoft Power BI, equipping participants with the skills to connect disparate data sources, utilize Power Query for transformation, and deploy interactive dashboards to the cloud. Finally, the instruction deepens with a focused module on Data Analysis Expressions (DAX), the formula language that drives advanced calculation and logic in Power BI.Course Structure and Scope The training is structured to mirror a real-world data analyst’s workflow:Excel Fundamentals: Mastering the interface, essential formulas, data validation, and introductory automation tools.Power BI Ecosystem: Navigating Power BI Desktop and Service, managing datasets, and understanding the principles of effective data visualization.Advanced Analytics with DAX: Moving beyond simple aggregations to create calculated columns, measures, and complex time-intelligence logic (e.g., Year-over-Year growth).Professional Application By the conclusion of this program, learners will possess the technical capability to manage the entire data lifecycle—from raw extraction in Excel to published, decision-ready reports in Power BI. This skillset is critical for roles such as Business Analyst, Data Specialist, Finance Manager, and Operations Lead. The content is delivered with a focus on accuracy, efficiency, and best practices suitable for corporate environments.Instructor Credibility and Updates Developed byNavya Kannan with extensive experience in enterprise reporting, this course reflects the latest software versions and features available in the Microsoft ecosystem. The methodology prioritizes hands-on application over theory, ensuring that every concept taught can be immediately applied to organizational challenges.

Business Analysts and Reporting Professionals seeking to modernize their skills from spreadsheets to BI platforms.,Financial Analysts and Accountants who need to automate reporting and visualize financial data.,Operations Managers and Administrative professionals looking to improve efficiency in data handling.,Aspiring Data Analysts preparing for a career transition into business intelligence.

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