Description
Curriculum
What is the Course About?
This course equips professionals with advanced skills in Power BI, focusing on visual analytics, dashboarding, and integrating Python to enhance business intelligence capabilities. The program focuses on creating optimized models, implementing advanced DAX formulas, designing interactive dashboards, and utilizing Python in Power BI for deeper data analysis. Designed for intermediate users, this course emphasizes hands-on practice, ensuring participants can tackle real-world challenges and derive actionable insights from complex data.
What Will You Learn?
- Explore and analyze data using Power BI Desktop models, such as star schema and analytic queries.
- Create dynamic reports and dashboards using advanced visualization techniques.
- Implement model frameworks, optimize performance, and enforce model security.
- Design semantic models with relationships, dimensions, and cardinality.
- Write advanced DAX formulas and use time intelligence functions for insightful analysis.
- Perform statistical analysis, clustering, and AI-powered visualizations.
- Create and manage workspaces and dashboards with collaborative features.
- Integrate Python scripts in Power BI for enhanced data manipulation and visualization.
Skills You Will Gain
- Advanced Power BI visualization and storytelling techniques.
- Proficiency in designing and optimizing data models.
- Expertise in writing complex DAX formulas and measures.
- Knowledge of Python integration in Power BI for custom analytics.
- Ability to manage and publish collaborative dashboards and implement RLS.
Why Should You Enroll in This Course?
- Gain mastery over advanced Power BI features, enhancing your analytical capabilities.
- Develop real-world expertise in creating professional, impactful dashboards and reports.
- Open pathways to senior roles in data analytics, business intelligence, and data engineering.
- Leverage Python in Power BI to perform cutting-edge analytics and visualizations.
Career Pathways, Average Salary, and Hiring Companies
Career Pathways:
- Senior Data Analyst
- Power BI Consultant
- Business Intelligence Developer
- Reporting Analyst
Average Salary in India
- Entry-Level: ₹17T – ₹50T per mo
- Mid-Level: ₹4L – ₹6L per year
- Senior-Level: ₹6L – ₹15.8L per year
Hiring Companies:
- Capgemini
- EY
- Infosys
- Tech Mahindra
- Startups in e-commerce, fintech, and healthcare
Curriculum
- 3 Sections
- 24 Lessons
- 45 Hours
Expand all sectionsCollapse all sections
- Introduction to Power BI15
- 1.1Exploring & Analyzing Data
- 1.2Describe Power BI Desktop models (star schema, analytic queries, report visuals)
- 1.3Choose a model framework (Import, DirectQuery, Composite Models)
- 1.4Design a semantic model (tables, date tables, dimensions, relationships, cardinality)
- 1.5Write advanced DAX formulas (functions, operators, variables)
- 1.6Add measures (simple, compound, quick measures, calculated columns)
- 1.7Use DAX time intelligence functions (time intelligence, advanced calculations)
- 1.8Optimize model performance
- 1.9Enforce model security
- 1.10Sharing Insights:
- 1.11Scope report design requirements (audience, report types, UI/UX requirements)
- 1.12Design Power BI reports (layout, visuals, KPIs)
- 1.13Configure report filters (designing for filtering, advanced techniques)
- 1.14Enhance report designs (details, highlighting values, navigation)
- 1.15Perform analytics in Power BI (statistical summary, outliers, clustering, time series, AI visuals)
- Dashboarding and Storytelling4
- Python in Power BI5
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