Advanced Power BI: Expert Data Analysis and Visualization
What you'll learn
- Understand the Power BI Data Cycle: Learn how to gather, transform, consolidate, and enrich data for effective visualization and sharing.
- Develop Robust Data Models: Learn how to create and manage fact tables, dimension tables, and role-playing dimensions for comprehensive data modeling.
- Master Data Transformation Techniques: Gain expertise in using advanced transformation methods, including fuzzy matching and complex data set adjustments.
- Apply Role-Level Security: Learn to implement role-level security settings to control data access effectively.
- Conduct Data-driven Storytelling: Develop the ability to use Power BI to tell compelling data stories, highlighting key insights and trends.
Requirements
- Learners should have a fundamental understanding of Power BI's interface, including how to create basic reports and dashboards.
- Learners should have Power BI Desktop installed on their computer to practice and follow along with course exercises.
Description
This Advanced Power BI course is meticulously designed to equip professionals with the expertise needed to master data analytics and visualization at an advanced level. By delving into critical aspects such as data transformation, modeling, and visualization, this course ensures you gain comprehensive skills to handle complex data scenarios effectively. Participants will learn to connect and consolidate data from diverse sources, automate data processes, and build robust data models. The course also covers advanced topics like role-level security, fuzzy matching, and the creation of transformation tables, enabling you to manage and protect data with confidence.
Taking this course will provide you with practical, hands-on experience through real-world applications and case studies. You will learn to create insightful reports and compelling visualizations that drive informed decision-making. By the end of the course, you will be equipped not only with advanced technical skills but also with the ability to apply these techniques to solve business problems and optimize data-driven strategies. This course is ideal for professionals looking to elevate their Power BI capabilities and leverage data analytics to achieve business success.
Course Outline:
Introduction to Advanced Power BI Course
Introduction to the trainer
Overview of the course
Common challenges in mastering Power BI
Importance of core concepts
Data Cycle: Getting Data
Starting with a vision and end goals
Identifying data sources
Connecting to disparate systems
Centralized data warehouses
Methods for importing data
Data Cycle: Data Transformation
Importance of data transformation
Common data issues
Automating data transformation
Data wrangling and munging
Data Cycle: Data Consolidation
Importance of data consolidation
Data flattening vs. data modeling
Benefits of data modeling
Handling large datasets
Data Cycle: Enrichment, Visualization & Sharing
Data enrichment techniques
Creating compelling visualizations
Effective data sharing methods
Data Transformation: Finding Problems & Understanding Column Profile
Identifying data problems
Understanding column profiles
Using data profiling tools
Data Transformation: Fuzzy Match
Concept of fuzzy matching
Implementing fuzzy matching in Power BI
Handling data quality issues
Data Transformation: Transformation Table with Fuzzy Match
Creating transformation tables
Using transformation tables with fuzzy matching
Best practices for accurate data mapping
Data Transformation: Fuzzy, Transformation Table Practice
Hands-on practice with transformation tables
Troubleshooting common problems
Performing sense checks
Data Transformation: Transforming City Data Set
Case study: transforming city data
Applying learned techniques
Reinforcing key concepts through practical application
Data Transformation: Completing Sales File
Cleaning and transforming sales data
Handling errors and missing values
Making executive decisions on data handling
Data Transformation: Product File
Importing and cleaning product data
Standardizing product information
Dealing with inconsistent data entries
Data Consolidation: Model Formatting
Understanding automatic relationship detection
Deactivating auto-detect for manual relationship management
Formatting and enriching data
Data Enrichment: Calendar Table (Simple)
Creating a simple calendar table
Using DAX for date-related calculations
Enhancing reports with date intelligence
Data Enrichment: Calendar Table (Fiscal Year)
Creating a fiscal year calendar table
Customizing date intelligence for fiscal reporting
Utilizing DAX for advanced date calculations
Q&A Session
Recap of previous sessions
Addressing participant questions and concerns
Practical tips and insights from real-world use cases
Data Model: Fact Table
Understanding fact tables
Characteristics and purpose of fact tables
Creating and managing fact tables in Power BI
Data Model: Dimension Table & Star Schema
Understanding dimension tables
Characteristics and purpose of dimension tables
Implementing star schema in data modeling
Data Model: Cardinality and Cross Filter Direction
Understanding cardinality in relationships
Managing cross-filter direction
Best practices for relationship management
Data Model: Merge and Role-Playing Dimensions
Merging tables for optimized data models
Creating role-playing dimensions
Advanced data modeling techniques
Data Model: Comparing 2 Fact Tables (Theory)
Theoretical concepts of comparing fact tables
Understanding common grains
Implications of comparing different grains
Data Model: Comparing 2 Fact Tables (Practice)
Practical application of comparing fact tables
Handling many-to-many relationships
Best practices for accurate comparisons
Comparing Sales and Inventory (Considerations & Reporting)
Comparing sales and inventory data
Managing data discrepancies
Effective reporting techniques
Recap and Data Enrichment Using Custom Columns CC
Recap of key concepts
Data enrichment techniques using custom columns (CC)
Practical examples and hands-on exercises
Comparing Order Date and Ship Date
Comparing different date fields
Handling date discrepancies
Creating meaningful insights from date comparisons
Comparing Target Sales vs Actual Sales Part 1
Introduction to target vs actual sales comparison
Setting up the data model
Creating relationships and calculations
Comparing Target Sales vs Actual Sales Part 2
Advanced techniques for comparing target vs actual sales
Handling complex data models
Best practices for accurate reporting
Role Level Security
Implementing role-level security in Power BI
Managing user access and permissions
Best practices for secure data models
Normalizing a Flat File
Introduction to normalizing flat files
Step-by-step process for creating dimension tables
Best practices for efficient data modeling
Closing and Q&A
Recap of the entire course
Final questions and answers
Who this course is for:
- Those looking to build a career in data science and analytics and want to add advanced Power BI skills to their toolkit.
- Those looking to build a career in data science and analytics and want to add advanced Power BI skills to their toolkit.
- Current Power BI users who have mastered the basics and are ready to explore advanced features like complex data modeling, DAX, and data transformation.
- IT specialists and database managers who want to integrate Power BI into their reporting workflows and need to understand advanced data modeling techniques.
- Independent consultants and freelancers in the field of data analytics who wish to offer more advanced Power BI services to their clients.
Instructor
- 4.5 Instructor Rating
- 495 Reviews
- 29,138 Students
- 4 Courses
With over 13 years of experience in data analytics and training, my tenure as the Business Intelligence Lead at Oil Search (now Santos) has honed my expertise and positioned me as a trailblazer in the industry. At AMZ Consulting, I bring this wealth of experience to the forefront, offering meticulously crafted courses on Power BI designed to cater to varying skill levels.
My approach to teaching is rooted in clarity and engagement, with a focus on making complex concepts accessible to all learners. Beyond training, AMZ Consulting provides bespoke consulting services tailored to the unique needs of our clients, ensuring they are equipped to navigate the intricacies of data analytics independently.
As an author, I am committed to advancing knowledge in the field of data analytics. My book, "Raise Your Analytics Game," available on Amazon, serves as a testament to this dedication, with two more books slated for release next year.
My influence extends beyond the confines of AMZ Consulting, as evidenced by my recognition as a Top Analytics Skills Voice on LinkedIn. I am deeply committed to sharing insights and fostering a culture of continuous learning, driving the advancement of the data analytics field.
In an era where data reigns supreme, AMZ Consulting is dedicated to empowering individuals and organizations alike to harness the power of data for success. Whether through expert training, insightful consulting, or thought leadership, my team and I are poised to shape the future of data analytics.
To learn more about AMZ Consulting and connect with me, visit our website or find us on LinkedIn, Instagram, and Facebook. Let's embark on this journey together and unlock the full potential of data analytics.