Get instant Coupon on our Telegram ChannelFrom Data to Decisions with Advanced Modeling Techniques
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
| Total Students | 79 |
|---|---|
| Original Price($) | |
| Sale Price | Free |
| Number of lectures | 76 |
| Number of quizzes | 1 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Ali Asghar Noorani |
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