Power BI: Foundations in Data Analysis and Business Intelligence(Level 1)
What is the Course About?
The Power BI Level 1 course introduces participants to the foundational principles of data analysis and business intelligence using Power BI. This program is tailored for beginners and professionals aiming to enter the field of data analysis. You will learn how to transform raw data into meaningful insights, create stunning visualizations, and build interactive reports that enable better decision-making. Through hands-on practice and real-world scenarios, this course ensures that learners are equipped to handle data confidently and effectively.
What Will You Learn?
This course covers the basics from understanding Power BI’s interface to building interactive reports and dashboards. You’ll begin with an introduction to Power BI and explore its interface, learning about the building blocks such as dashboards, reports, and visualizations. You’ll gain hands-on experience in importing and transforming data from multiple sources, cleaning and combining datasets, and creating efficient data models by managing relationships between tables. As the course progresses, you will develop a strong understanding of DAX (Data Analysis Expressions) to perform calculations and create measures that help analyze data more effectively.
Moving into visualization, you’ll design charts, graphs, tables, and slicers to present data in a meaningful way. The course also delves into designing interactive reports with advanced features such as drill-through, KPIs, and navigation buttons. Furthermore, you’ll learn to apply time intelligence functions, conditional formatting, and other advanced analytics to draw deeper insights. Finally, the course focuses on optimizing your reports for performance, troubleshooting common issues, and understanding how to publish dashboards and reports for collaboration and sharing.
Skills You Will Gain
By completing this course, you will:
- Develop a foundational understanding of Power BI for data analysis.
- Gain experience in importing, transforming, and modeling data from various sources.
- Build interactive dashboards and visually appealing reports.
- Write DAX formulas to perform data calculations and create measures.
- Optimize reports and troubleshoot performance issues for seamless user experiences.
Why Should You Enroll in This Course?
- Build a robust foundation in Power BI to kickstart your data analysis journey.
- Master practical, industry-relevant skills applicable across various domains.
- Gain hands-on experience that prepares you to tackle real-world data challenges.
- Prepare for high-demand roles in business intelligence and analytics with expert instruction.
Career Pathways, Average Salary, and Hiring Companies
Career Pathways
Upon completing this course, you’ll be equipped for roles such as:
- Data Analyst: Transforms raw data into actionable insights to guide business decisions.
- Power BI Developer: Designs and develops Power BI reports and dashboards to visualize data effectively.
- Business Intelligence Analyst: Leverages BI tools to analyze data and deliver strategic, enterprise-level insights.
- Reporting Specialist: Automates, generates, and distributes accurate reports tailored to organizational needs.
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
Leading companies hiring Power BI professionals in India include:
- TCS
- Infosys
- Wipro
- Deloitte
- Accenture
- Startups and SMEs in tech, retail, and healthcare industries
Related
Curriculum
- 8 Sections
- 33 Lessons
- 30 Hours
- Introduction to Power BI6
- 1.1Overview of Data Analysis – Basics and importance
- 1.2Roles in Data – Understanding the role of a Data Analyst
- 1.3Introduction to Business Intelligence
- 1.4Key Tasks of a Data Analyst
- 1.5Power BI Desktop – Interface walkthrough and setup.
- 1.6Classes & LibrariesCoBuilding Blocks of Power BI – Dashboards, reports, and visualizations.py
- Importing and Preparing Data4
- 2.1Importing Data – Connecting to sources like Excel, CSV, and SQL databases
- 2.2Data Loading Modes – Differences between Import and DirectQuery
- 2.3Data Transformation Basics – Cleaning, renaming, splitting columns, and filtering rows
- 2.4Combining Data – Merging and appending queries for a unified dataset
- Data Modeling Fundamentals4
- 3.1Creating Relationships – Managing relationships between tables in Power BI
- 3.2Introduction to DAX – Basics of Data Analysis Expressions (SUM, COUNT, AVERAGE)
- 3.3Calculated Columns and Measures – Writing formulas for specific calculations
- 3.4Date Tables – Creating and configuring a date table for time-based analysis
- Building Visualizations4
- Report Design and Interactivity4
- Advanced Analytics and Insights4
- 6.1DAX Time Intelligence – Year-to-date (YTD) and month-to-date (MTD) calculations
- 6.2Conditional Formatting – Highlighting trends and top-performing values
- 6.3Smart Narratives and Key Influencers – Deriving insights and explaining data trends
- 6.4Manual Data Refresh – Refreshing and updating data in Power BI Desktop
- Performance Optimization and Troubleshooting4
- Dashboards and Report Publishing3
Courses you might be interested in
-
70 Lessons
-
51 Lessons
-
97 Lessons
-
109 Lessons