Introduction to Power BI

Introduction to Power BI

hardik mehta

Project control Lead

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Beginner course for learners

Why enroll

Beginner-Friendly Learning: This course is designed for participants with little to no prior experience in Power BI, making it an ideal starting point to learn data visualization and analytics.

Practical Hands-On Training: Gain real-world experience by working on practical exercises, case studies, and projects to build confidence in using Power BI tools.

In-Demand Skill Development: Power BI is one of the most sought-after tools in business intelligence, offering a competitive edge in the job market.

Comprehensive Curriculum: Learn everything from data preparation and modeling to creating professional dashboards, all in one course.

Industry-Relevant Knowledge: Understand how to apply Power BI for data-driven decision-making in various industries, including finance, marketing, and operations.

Improved Career Opportunities: Enhance your resume with a valuable skill that can lead to roles such as Business Analyst, Data Analyst, or BI Developer.

Expert Guidance: Benefit from expert instructors who bring both technical expertise and real-world experience.

Interactive and Flexible Learning: Participate in live sessions and have access to course material for revisiting topics as needed.

Certification Advantage: Receive a course completion certificate to validate your new skills and enhance your professional profile.

Transform Data into Insights: Learn how to convert raw data into actionable insights to make informed business decisions and drive growth.

Joining this course is a step toward becoming proficient in one of the leading BI tools, empowering participants to thrive in today’s data-driven world.

Opportunities that awaits you!

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Career opportunities

Course details

The objective of this course is to equip participants with the foundational knowledge and practical skills to effectively use Power BI for data visualization and analysis. By the end of the course, learners will be able to:

1. Understand the core features and functionalities of Power BI.

2. Connect to various data sources and transform data for analysis.

3. Create interactive dashboards and reports to visualize data insights.

4. Apply data modeling techniques for accurate and meaningful analytics.

5. Share and collaborate on Power BI reports for enhanced decision-making.

This course aims to empower learners with the confidence to harness the full potential of Power BI for business intelligence and data-driven decision-making.

Course suitable for

Oil & Gas
Chemical & Pharmaceutical
Energy & Utilities
Rail & Transport
Chemical & Process
Mechanical

Key topics covered

1. Power BI Key Definition

2. Project Dashboard

3. Power Query

4. Dashboard

Training details

This is a live course that has a scheduled start date.

Live session

January 24, 2025 | 03:30 PM

1 Hours every day

1 Days

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COMPLETED

January 24, 2025

Questions and Answers

Q: How does Power BI handle data refresh and scheduling?

A: Power BI supports data refresh to ensure that reports and dashboards reflect current data. For imported data, users can configure scheduled refreshes in the Power BI Service, which can occur up to eight times a day for Pro licenses and more frequently for Premium capacities. DirectQuery and Live Connection modes provide real-time or near-real-time data without the need for scheduled refresh. Data gateway can be used for refreshing on-premises data sources. Documentation on refresh options is available at https://docs.microsoft.com/en-us/power-bi/connect-data/refresh-data

Q: What are some best practices for optimizing Power BI report performance?

A: Optimizing Power BI report performance involves several practices such as minimizing the data loaded by filtering at the source, avoiding complex calculated columns in favor of measures, using appropriate data types, reducing cardinality, and optimizing DAX formulas. Additionally, using aggregations, star schema modeling, and incremental data refresh improves responsiveness. Proper use of relationships and removing unnecessary visuals can also help. Microsoft provides a detailed performance optimization guide at https://docs.microsoft.com/en-us/power-bi/guidance/performance

Q: What is the difference between a calculated column and a measure in Power BI?

A: A calculated column is a new column added to a data table in the data model, with values computed row-by-row based on DAX formulas. Measures, on the other hand, are aggregations computed dynamically when used in visualizations, such as sums, averages, or ratios. Calculated columns increase data model size since they store values, whereas measures are computed on demand and do not increase model size significantly. Measures are preferable for dynamic, aggregated calculations in reports. For more, visit https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-calculated-columns-measures

Q: Can you explain what DAX is and its role in Power BI?

A: DAX (Data Analysis Expressions) is a formula language used in Power BI, Power Pivot, and Analysis Services. It is designed to work with relational data and perform dynamic aggregation, filtering, and calculations on data models. DAX allows users to create custom calculated columns, measures, and tables, enhancing the analytical capabilities beyond simple aggregations. Understanding DAX is essential for advanced data modeling and insight generation within Power BI. Microsoft offers comprehensive guidance on DAX here: https://docs.microsoft.com/en-us/dax/

Q: What is Power BI and why is it important in data analysis?

A: Power BI is a business analytics service developed by Microsoft that allows users to visualize data and share insights across their organization or embed them in an app or website. It helps organizations make informed decisions by transforming raw data into interactive and insightful reports and dashboards. Power BI integrates with various data sources, supporting real-time data monitoring and advanced analytics. For more information, you can visit the official Microsoft Power BI documentation at https://docs.microsoft.com/en-us/power-bi/

Q: How does Power BI connect to different data sources?

A: Power BI supports a wide variety of data sources including Excel files, SQL databases, cloud services like Azure, Salesforce, Google Analytics, and many more. Connections can be established via direct query, import, or live connections, depending on the data source and use case. The data connectors simplify extracting and refreshing data and allow combining data from multiple sources into a single model. Detailed list of data connectors and techniques is available at https://docs.microsoft.com/en-us/power-bi/connect-data/desktop-data-sources

Q: What is the difference between Power BI Desktop and Power BI Service?

A: Power BI Desktop is a free Windows application used primarily for report creation, data transformation, modeling, and designing visualizations. Power BI Service is an online, subscription-based platform that allows users to publish, share, and collaborate on reports and dashboards. While Desktop focuses on report authoring, the Service focuses on consumption, collaboration, and administration. Both are integral parts of the Power BI ecosystem. You can learn more about their roles here: https://docs.microsoft.com/en-us/power-bi/fundamentals/desktop-vs-service

Q: What are Power BI visuals and how can I use custom visuals?

A: Power BI visuals are the graphical representations used to present data insights in reports and dashboards. Power BI offers a variety of built-in visuals such as bar charts, line charts, maps, and gauges. Users can also import custom visuals from the Microsoft AppSource marketplace or create their own using Power BI developer tools. Custom visuals allow tailored data representation to meet specific business needs. For more insight, visit https://docs.microsoft.com/en-us/power-bi/visuals/power-bi-custom-visuals

Q: How can I share Power BI reports with my team?

Q: What are the main components of Power BI?

A: Power BI consists of several key components including Power BI Desktop, Power BI Service, Power BI Mobile, and Power BI Report Server. Power BI Desktop is a Windows application for authoring reports. Power BI Service is an online SaaS platform for sharing and collaboration. Power BI Mobile apps enable access to dashboards and reports on mobile devices. Power BI Report Server is for on-premises reporting. Together, these components provide a complete solution for data ingestion, transformation, modeling, visualization, and sharing. Microsoft documentation provides an overview here: https://docs.microsoft.com/en-us/power-bi/fundamentals/power-bi-overview