Power BI (Basics)
Profile Code: AL-PBA-09
- ₹8 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 8 Weeks
Skills You Learn: Data visualization | Basic data modeling | Power Query fundamentals | Dashboard creation | Data cleaning and transformation | Report publishing and sharing | Analytical thinking | Business insights development
Overview Video
About This Course
Power BI (Basics) in Productivity & Business Applications is an entry-level role focused on transforming raw data into clear, interactive, and meaningful visual reports that support business decision-making. It involves connecting to various data sources such as Excel files, databases, and cloud platforms, and importing data into Power BI for analysis. Professionals in this role perform basic data cleaning and transformation using Power Query to ensure the data is accurate, consistent, and ready for reporting. They create simple data models by establishing relationships between tables, which helps in organizing data effectively for visualization. A key responsibility is designing dashboards and reports using charts, graphs, cards, and KPIs to present business performance in an easy-to-understand format. This role also includes monitoring data refresh schedules to ensure reports display up-to-date information and sharing dashboards securely with stakeholders through the Power BI Service. Users in this role focus on making data accessible and useful for different business teams, helping them identify trends, track performance, and make informed decisions. It also requires basic troubleshooting of report issues and maintaining data accuracy. Overall, this role builds a strong foundation in business intelligence, data visualization, and analytical thinking, making it ideal for beginners who want to start a career in data analytics and enterprise reporting environments.
Course Content
5 modules · 8 weeks · 2hrs/dayPower BI Desktop (Basics)
The Power BI Desktop (Basics) course provides learners with a strong foundation in business intelligence and data visualization using Microsoft Power BI Desktop. Participants learn data import, data transformation, data modeling, relationships, visualizations, charts, tables, slicers, filters, dashboards, reports, and report publishing. The course emphasizes practical learning through real-world business datasets, enabling learners to create interactive dashboards and meaningful reports that support data-driven decision-making. By the end of the course, participants develop essential skills required for business reporting, analytics, and performance monitoring.
Power Query (Advanced)
The Power Query (Advanced) course equips learners with the skills to collect, clean, transform, and prepare data from multiple sources for business analytics. Participants explore data import techniques, query editing, merging and appending datasets, custom columns, parameters, M language basics, query optimization, refresh automation, and data profiling. Through practical business projects, the course enables learners to build efficient and repeatable data preparation workflows that improve reporting accuracy and reduce manual effort.
DAX (Data Analysis Expressions) (Advanced)
The DAX (Data Analysis Expressions) (Advanced) course focuses on creating powerful calculations and analytical models within Power BI. Learners master calculated columns, measures, variables, filter context, row context, time intelligence functions, ranking, KPIs, conditional calculations, and performance optimization. The course combines hands-on exercises with real-world analytical scenarios to help participants build dynamic reports and advanced business intelligence solutions for informed decision-making.
Power BI Service (Advanced)
The Power BI Service (Advanced) course teaches learners how to publish, share, collaborate, and manage business intelligence solutions in the cloud. Participants learn workspace management, report publishing, dashboards, scheduled refresh, gateways, row-level security, dataflows, apps, collaboration features, governance, and administration. The course prepares learners to deploy enterprise-grade BI solutions and manage secure reporting environments for organizations.
Microsoft Excel (Integration)
The Microsoft Excel (Integration) course demonstrates how Excel works seamlessly with Power BI to enhance business reporting and analytics. Participants learn to import Excel workbooks, connect structured datasets, refresh data, create PivotTables for validation, integrate Excel models with Power BI, and streamline reporting workflows. Through practical business scenarios, the course develops the skills required to combine Excel's analytical capabilities with Power BI's visualization and dashboarding features for comprehensive business intelligence solutions.
Key Responsibilities
- Connecting data sources and building basic dashboards
- Cleaning and transforming data using Power Query
- Creating simple reports and visualizations
- Monitoring data refresh and accuracy
- Sharing reports with stakeholders
Growth Path
Tools Used
Perfect For
Beginners in data analytics and business intelligence | IT professionals exploring BI tools | Business users wanting self-service analytics | Fresh graduates interested in data visualization careers | Non-technical users seeking reporting skills
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Productivity & Business Applications
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