Master Power BI: Advanced Analytics & Data Visualization
What you will learn:
- Master the Power BI data lifecycle (acquisition, transformation, modeling, visualization)
- Build robust and scalable data models using star schemas and advanced techniques
- Utilize advanced data transformation methods, including fuzzy matching and data cleaning
- Implement effective role-level security for controlled data access
- Create engaging and insightful data visualizations to communicate key findings effectively
- Employ advanced DAX functions for complex calculations and data manipulation
- Compare and analyze multiple fact tables for deeper data insights
- Develop a data-driven storytelling approach to present findings persuasively
- Handle large datasets efficiently and effectively
- Automate data processes and workflows for increased productivity
Description
Transform your data analysis skills with this advanced Power BI course. Designed for professionals seeking to conquer complex datasets, this program provides hands-on experience in data transformation, advanced modeling, and compelling visualization. Learn to connect diverse data sources, automate processes, and build robust, secure models using techniques like role-level security and fuzzy matching. We'll cover data enrichment strategies, advanced DAX functions, and effective data storytelling to transform raw data into impactful business decisions.
This intensive curriculum covers the entire data lifecycle, from initial data acquisition and cleaning to creating insightful reports and dashboards. You'll master creating efficient data models, using advanced DAX measures, comparing multiple fact tables, and implementing role-based security. Real-world case studies and practical exercises ensure you solidify your knowledge and build a portfolio demonstrating your mastery of Power BI. Become a true Power BI expert and unlock your organization's data potential.
What you'll learn: Connect to various data sources, master data cleaning and transformation techniques including fuzzy matching, build sophisticated star schema data models, create dynamic reports and dashboards, implement data security measures, utilize advanced DAX functions, and communicate your findings effectively.
Course Outline Highlights: Data acquisition & preparation, advanced data modeling (including star schema and role-playing dimensions), mastering DAX for calculated columns and measures, advanced data visualization techniques, implementing role-level security, and building data-driven narratives for impactful decision-making. This course will propel your Power BI skills to an expert level.
Curriculum
Trainer Introduction
This introductory section sets the stage for the course. You'll meet the instructor, learn about active learning strategies, and explore relevant examples like Amazon's AI hiring tool. The section will highlight the course objectives and prepare you for the journey.
Starter Pack
Get started quickly! This section provides a practical guide to downloading Power BI and includes a quick beginner's overview of the platform, ensuring you're equipped with the fundamental tools before diving deeper into advanced techniques.
Introduction and Data Cycle Overview
Establish a strong foundation. Lectures cover the 3 steps to becoming a data analyst, a comprehensive course introduction, the entire data cycle, including data acquisition, transformation, consolidation and enrichment, along with best practices for data visualization and sharing. The section includes real-world case studies to illustrate effective data analysis approaches.
Course Data Sets Overview
Familiarize yourself with the datasets that will be used throughout the course. This section provides an overview of various files including sales data, product information, geographical data, and other relevant datasets, enabling you to understand the data landscape before starting hands-on exercises.
Data Transformation Techniques
Dive into the core of data manipulation. This section covers techniques for identifying and resolving data issues, using Power BI to manage column profiles, implementing fuzzy matching for handling inconsistencies in data, creating transformation tables to improve data quality and various real-world case studies with hands-on practice. You'll learn best practices and effective troubleshooting strategies.
Advanced Data Transformation
Master advanced data manipulation. You will cover more complex data transformation tasks, including enriching data using simple and fiscal year calendar tables, and handling various data challenges. The module includes a comprehensive Q&A session and explores how companies like Coca-Cola use data to improve efficiency.
Data Modeling Fundamentals
Build a strong foundation in data modeling. You'll learn to create and manage fact and dimension tables, implement star schemas, understand cardinality and cross-filter direction, and use advanced techniques such as merging tables and creating role-playing dimensions.
Advanced Data Modeling
Take your data modeling skills to the next level. This section focuses on comparing multiple fact tables (both theoretically and practically), understanding differing data grains, managing many-to-many relationships, enriching data using custom columns, and exploring best practices for accuracy and efficiency.
Comparative Analysis and Reporting
Learn to extract meaningful insights by comparing different data points. You'll learn how to analyze order dates versus shipping dates, compare target sales against actual sales (in two parts covering introductory and advanced techniques), and build reports using effective comparative techniques. The section includes several supplemental videos related to data analysis.
Security and Closing
Ensure the security of your data and wrap up the course. The final section covers role-level security (RLS) implementation, normalizing flat files for efficient data modeling, and concludes with a comprehensive Q&A session to address any remaining questions.
Skill Assessment
Test your newfound skills and reinforce your understanding. This section includes a quiz to assess your comprehension, valuable advice on practice techniques, and further insights to continue your data analysis journey.
Take-Home Materials
Consolidate your learning with accessible resources. This section provides access to comprehensive step-by-step guides, exercise files, and datasets to help you continue practicing and refining your skills long after the course concludes.
