About Course
About Power BI Course OnlineÂ
 This self-paced Power BI training course is designed for learners who value flexibility without compromising on the depth of knowledge. Whether you’re a complete beginner or looking to enhance your existing skills, this course provides you with the freedom to learn Power BI at your own pace, anytime and anywhere. It covers everything from the basics of data visualization to advanced techniques in data modeling, dashboard creation, and advanced analytics.
Through a rich combination of video tutorials, hands-on exercises, and interactive quizzes, learners can strengthen their skills and gain confidence in using Power BI to analyze and visualize data. The course will guide you through key concepts such as importing and transforming data, creating powerful visualizations, building interactive reports, and using DAX (Data Analysis Expressions) for advanced calculations.
This business intelligence course online is perfect for business analysts, professionals, students, or anyone looking to master data visualization and reporting with Power BI, making it ideal for those balancing learning with other commitments. You’ll have everything you need to confidently use Power BI to make data-driven decisions in the workplace or in your personal projects.Â
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Key Features Provided by Geeks Analytics:
- On-Demand Learning: Access high-quality video lectures and course materials anytime, anywhere.
- Comprehensive Curriculum: Learn everything from basics to advanced topics with clear, structured content.
- Hands-On Exercises: Practice coding through quizzes, assignments, and real-world projects.
- Flexible Access: Compatible with multiple devices, so you can learn on desktop, tablet, or mobile.
- Lifetime Access: Revisit course content anytime for refresher or advanced learning.
- Certification: Earn a certificate of completion to validate your skills.
- Expert Support: Dedicated support team available for doubt resolution via forums and chat.
- Community Engagement: Connect with fellow learners to share knowledge and stay motivated.
Frequently Asked Questions
Is your advance Power BI Training suitable for beginners?
Yes, the power BI course online is designed for both beginners and professionals. Learners are guided through core Power BI concepts step by step while also gaining hands-on experience with practical projects.Â
Are hands-on projects included in the course?
Yes, learners work on practical assignments and real-world projects to strengthen their understanding of Power BI tools, reporting techniques, and analytics workflows.Â
What industries can benefit from advanced Power BI training?
Power BI skills are valuable across industries including finance, healthcare, retail, logistics, marketing, technology, and operations where businesses rely on data visualization and reporting.Â
Can this course help improve reporting and analytics skills?
Yes, the training helps learners develop stronger reporting, analytics, and visualization skills that can support business performance analysis and strategic decision-making.Â
Will I learn Power BI dashboard creation during the training?
Yes, learners gain practical experience creating professional dashboards with interactive visuals, filters, KPIs, and reporting features commonly used in business environments.Â
Do you teach Dax formulas power BI concepts in the course?
Yes, the course includes detailed training on DAX formulas, helping learners understand calculations, measures, data analysis functions, and advanced reporting techniques within Power BI.Â
Is the power BI online tutorial flexible for working professionals?
Yes, the online format allows students and working professionals to learn at their own pace while managing work and personal schedules.Â
Is this course beneficial for career growth in analytics?
Yes, Power BI skills are highly valued in analytics and business intelligence roles, helping professionals improve their technical expertise and career opportunities.Â
What Will You Learn?
- Understand the fundamentals of Power BI and its user interface.
- Learn how to connect to and import data from various sources like Excel, SQL, and web services.
- Explore Power BI data types and structures, such as tables, columns, and relationships.
- Use the Power Query Editor for data cleaning, transformation, and preparation.
- Implement data modeling by creating relationships, calculated columns, and measures.
- Write DAX (Data Analysis Expressions) formulas to perform advanced calculations.
- Visualize data effectively using Power BI’s variety of chart types, tables, and KPIs.
- Customize reports with filters, slicers, and interactive elements.
- Design dashboards and share reports within your organization or with stakeholders.
- Use Power BI’s built-in AI tools to enhance data analysis and insights.
- Automate report refreshes and manage scheduled data updates.
- Apply best practices for report design to make data insights clear and actionable.
- Troubleshoot common Power BI issues, such as performance optimization and data errors.
- Develop simple Power BI projects to showcase your skills and apply them in real-world scenarios.
- Prepare for Power BI-related job roles with hands-on exercises and practical projects.
- This course will guide you through the key elements of Power BI to become proficient in data visualization and analysis, enabling you to create impactful reports and dashboards.
Material Includes
- 15 hours On-Demand Video
- 51 Articles
- 1 Capstone Project
- Certificate of Achievement post course completion
Requirements
- Basic Computer Skills: Familiarity with using a computer, internet browsing, and file management.
- Microsoft Power BI Desktop: You will need to download and install the free version of Power BI Desktop from the official Microsoft website.
- Ensure your system meets the minimum requirements for Power BI Desktop (Windows 8 or later, 1 GB RAM minimum, 2-core processor or better).
- Access to Data: You will need some basic datasets (e.g., Excel, CSV) to work with. We’ll guide you on how to connect to various data sources.
- Basic Excel Knowledge (optional but helpful): Familiarity with Excel functions and data structures (e.g., tables, pivot tables) will help you grasp data manipulation concepts quicker.
- No Programming Experience Required: This course is beginner-friendly, and you do not need any prior programming knowledge to get started.
- Internet Access: Some sections of the course may involve downloading additional resources or datasets, so internet access is necessary.
Audience
- Business Analysts: Individuals who need to analyze data and create insightful reports for decision-making processes.
- Data Analysts: Professionals who want to deepen their understanding of data modeling, visualization, and reporting using Power BI.
- Managers and Executives: People who need to make data-driven decisions and want to understand how to interpret Power BI reports and dashboards.
- IT Professionals: Those looking to expand their knowledge of business intelligence tools, particularly Power BI, for data management and reporting.
- Finance Professionals: Individuals who require advanced data analysis techniques to generate financial reports and forecasts using Power BI.
- Consultants: Professionals who work with clients to help them transform raw data into valuable insights using Power BI.
- Aspiring Data Scientists: Those interested in enhancing their skills in data manipulation and visualization with Power BI as part of their broader data science toolkit.
- Students and Beginners: Anyone who is new to Power BI and wants to learn how to create powerful visualizations and automate data reporting.
- Small Business Owners: Entrepreneurs who want to leverage data analysis tools like Power BI to make informed business decisions without needing advanced technical skills.
- Project Managers: Individuals who need to manage project data and generate reports for stakeholders using Power BI.
- This course is suitable for anyone looking to build practical Power BI skills, regardless of their prior experience with data analysis or business intelligence tools.
Course Content
Power BI: Introduction & Set Up
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Introduction to Power BI
21:23 -
Power BI: Download and Installation
06:01 -
Power BI Interface Walkthrough
22:03
Power Query Editor
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Introduction to Power Query Editor
10:22 -
Basic Rows and Column Operations
28:04 -
Split Column in Power Query Editor
19:41 -
Group By and Replace Operations
16:11 -
Table and Data Type Conversion
06:56 -
Power BI Operations: Numeric and Date Operation
20:04 -
Power BI Operations: Text Operation
15:02 -
Power BI Operations: Miscellaneous Operation
14:10 -
What is Transpose in Power BI?
10:36 -
Conditional Statements, Indexing and Duplicate in Power Query Editor
10:53 -
Combining Data in Power Query Editor
26:37 -
Power Query Editor: Close and Apply
06:01
Power BI: Reporting and Dashboarding
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Creating Charts in Power BI
06:08 -
Categorical v/s Numerical Data
13:43 -
Univariate Analysis
12:55 -
Bivariate & Multivariate Analysis
12:06 -
Bar and Column Charts in Power BI
18:49 -
How to save your work in Power BI?
05:16 -
Basic Formatting in Power BI
13:51 -
100% Stacked Column, Bar Chart
17:49 -
Trend Analysis via Different Charts
22:23 -
Pie Chart, Donut Chart and Funnel Chart
08:34 -
Scatterplot: Univariate Analysis
26:38 -
Scatterplot: Bivariate Analysis
12:29 -
Slicers in Power BI
34:13 -
Map, Filled Map and Tree Map
21:04 -
Cards in Dashboarding
32:13 -
Table in Visualization
26:56 -
Exploring Card with Date Field
10:46 -
Multi Row Card
14:18 -
Matrix in Visualization
23:06 -
Exploring Filter Section
06:19 -
Exploring Miscellaneous Visuals
44:17 -
Q&A Section
07:21
Power BI: Data Modeling
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What is Data Modelling?
22:39 -
Data Modelling Implementation
28:56
Data Analysis Expressions (DAX)
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Exploring DAX, Calculated Columns, Measures
44:31 -
Aggregation Function
24:34 -
Calculate and Filter Context
09:06 -
DAX: Text Functions
17:48 -
DAX: Logical Functions
18:21 -
DAX: Switch Function
11:25
Publishing Dashboard and Security
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Gauge Chart
07:07 -
Dashboard
57:03 -
IMPORTANT: Row Level Security (RLS)
09:47 -
Sharing Dashboard Report
09:54 -
Kaggle (Real World Dataset Platform)
12:31 -
Sharing Project Insight in LinkedIn
14:32


