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Data Analysis & Visualization with Microsoft Power BI
Data Analysis & Visualization with Microsoft Power BI
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The "Data Analysis and Visualization with Microsoft Power BI" program is designed for learners who want to acquire in-demand skills in data pre-processing, visualization, and analysis using Microsoft Power BI. Participants will master connecting Power BI to various data sources, processing and transforming data for reporting and visualization, and creating impactful visualizations that effectively communicate insights. The program also emphasizes best design practices and enables students to extract valuable insights from data dashboards to support informed business decisions.
What you'll learn
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Program Information
Module 1: Introduction to Preparing & Modeling Data
Introduction to Preparing& Modeling Data
• Describe the Microsoft Power BI data Pipeline.
• Recognize the range of stakeholders a data modeler should collaborate with.
• Become familiar with the role of Power Query, data modeling, and reporting to meet business needs.
Key Concepts in Data Modeling
• Conceptualize data modeling, including fact tables, dimension tables, key
columns, and relationships.
• Define the role each component plays in reporting.
Getting Your Data & Initial Transformations
• Access a range of data sources using Get Data.
• Leverage Power Query to perform initial transformations to make your queries user friendly.
• Develop a familiarity with data types and their role in Microsoft Power BI.
Bigger Transformations & Data Tables
• Correct—and know when to correct—errors and gaps.
• Make more complex column changes within queries.
• Morph data across queries to align with reporting needs.
• Choose and build the right data table for your purposes.
Relationships & Relationship-Related DAX
• Select the correct relationships for your data model.
• Create implicit and quick measures.
• Leverage relationships and filters in common DAX functions.
Reports & DAX for Common Reporting Needs
• Choose between a measure and calculated column.
• Create basic report visualizations such as Matrixes and Cards.
• Make DAX functions that leverage conditional logic.
• Troubleshoot and organize your Microsoft Power BI file.
Module 2: Creating Visualizations with Microsoft Power BI
Welcome to Creating Visualizations with Microsoft Power BI
• Describe the learning objective of the course.
• Explain why data visualization is important for business intelligence.
• Identify the main stakeholders that BI analysts interact with.
• Identify when data visualization is useful and when it is not.
Building Compelling Data Visualizations
• Identify important business metrics and pair them with appropriate data visuals.
• Build common data visuals, including bar charts and line charts.
• Design complementary visuals, including cards, donut charts, and tables.
• Build more complex data visuals, including scatter plots and bubble maps.
• Recognize standard formatting options for Microsoft Power BI visuals and navigate the unique formatting features that vary between visuals.
Designing User-Friendly Reports
• Customize Microsoft Power BI themes with unique color palettes.
• Insert elements like images, shapes, and buttons to create compelling and versatile layouts for their reports.
• Apply design principles that reduce noise and highlight data stories.
• Maximize accessibility for diverse user groups.
Creating Interactive Reports for Data Exploration
• Design visuals that interact with one another and help users explore data by filtering and drilling for insights.
• Identify the differences between filters and slicers in a Microsoft Power BI report, including when to use each and differences in functionality.
• Apply filters to data visuals, pages, and reports.
• Customize the filter pane for reporting needs.
• Help users explore the data with different types of slicers.
Elevating Reports with Advanced Report Features
• Customize Microsoft Power BI reports in ways that foster interactivity and help users tell compelling data stories.
• Build custom data stories with Microsoft Power BI bookmarks.
• Empower users with navigation buttons.
• Design drill-through pages for deep-dive analysis.
Module 3: Advanced Data Analysis
Welcome to Advanced Data Analysis in Microsoft Power BI
• Describe the learning objectives of the course.
• Explain what data analysis is and why it’s important.
• Identify the main stakeholders that data analysts interact with.
• Identify when data analysis is useful and when it is not.
Advanced Data Analytics
• Define, investigate, and analyze data in order to draw conclusions.
• Use historical analysis to investigate, aggregate, and describe data.
• Use predictive analysis to understand relationships between data and forecast
the probabilities of future outcomes.
Power Query Transformations
• Compare and contrast Power Query and DAX.
• Use M in Power Query to manually edit table columns.
• Write custom formulas using the advanced editor in order to effectively clean
and format imported data.
DAX Functions
• Write custom DAX formulas to perform calculations or format data.
• Use DAX to create calculated tables.
• Troubleshoot common DAX errors and fix the underlying issues with their code.
Advanced Visualizations
• Use advanced visualizations in order to analyze data and draw conclusions.
• Distinguish between advanced and standard visualizations.
• Customize advanced visualizations with filters, formatting, and trend analysis.
What will You Get?
- 100% Job Assistance
- Gain knowledge of the systematic problem-solving process and steps.
- Learn the basics of how Gen AI and Business Analyst works.
- Organise your code and orchestrate different tools and utilities.
- How to work on large projects
- Research and improve your coding
- Course Completion Certificate
Testimonials from our Students
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Ravi Kumar - Data Scientist
The Advanced AI Certification course helped me enhance my knowledge and skills in AI algorithms. It provided a solid foundation and practical insights to develop intelligent solutions. I highly recommend this course to anyone looking to excel in the field of AI.
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Neha Sharma - B.Com Student
I found the Advanced AI Certification course to be comprehensive and well-structured. It covered a wide range of topics, including mathematical foundations and coding skills. The live coding sessions were especially beneficial in understanding the practical application of AI concepts.
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Ajay Patel - Analyst
Taking the Advanced AI Certification course was a game-changer for my career. It equipped me with the necessary tools and knowledge to create smart applications. The mentor's expertise and guidance during the live coding sessions were invaluable. I'm grateful for this opportunity.
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Aarti Desai - MBA Student
The Advanced AI Certification course provided me with a strong understanding of AI algorithms and their applications. It gave me the confidence to tackle complex AI projects. The course materials and resources were excellent, and the support from the mentor was exceptional.
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Anil Gupta - Data Analyst
Enrolling in the Advanced AI Certification course was one of the best decisions I made. The course covered all the essential aspects of AI, from programming languages to algorithm design. The practical exercises and live coding sessions gave me hands-on experience, which greatly benefited my learning journey.
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Pooja Singh - AI Developer
The Advanced AI Certification course exceeded my expectations. It provided a comprehensive understanding of AI concepts and technologies. The mentor's expertise and the interactive live coding sessions helped me gain practical skills and insights. This course has undoubtedly accelerated my career growth.
What do I need to know about this course
Can I get a certificate after Data Analysis & Visualization with Microsoft Power BI?
Yes, you will get a certificate of completion that you can use to showcase your skills and knowledge to potential employers. After completing the course, you will be eligible for the internship.
Who is an Data Analysis & Visualization with Microsoft Power BI course for?
An Data Analysis & Visualization with Microsoft Power BI course is for anyone who wants to learn about analytics and Power BI, regardless of your background or experience.
What are the prerequisites for learning this course?
The prerequisites for an Data Analysis & Visualization with Microsoft Power BI course can vary depending on the course provider, but a basic understanding of computer science, mathematics, and programming is generally recommended.
What type of assignments will I need to complete this course?
Assignments depend on the curriculum, but typically, you will be required to complete quizzes, case studies, and projects to demonstrate your understanding of the course.