Professional PathFinders Club LMS
Soft Skills Business Power BI

Microsoft Power BI for Business Intelligence – Part 1 Course

45

Beny Smith

Master Power BI for data prep, data analysis, data visualization & dashboard design with top Power BI instructors! Requirements What …

Original price was: ₵650.00.Current price is: ₵500.00.

Master Power BI for data prep, data analysis, data visualization & dashboard design with top Power BI instructors!

Requirements

  • Microsoft Power BI Desktop (free download)
  • This course is designed for PC/Windows users (currently not available for Mac)
  • Experience with Excel Power Query, Power Pivot & DAX is a plus, but not required

What You'll Learn

  • Build professional-quality business intelligence reports from the ground up
  • Blend and transform raw data into beautiful interactive visuals & dashboards
  • Design and implement the same tools used by professional data analysts and data scientists
  • Showcase your skills with two full-scale course projects (with step-by-step solutions)
  • Explore powerful artificial intelligence tools and advanced data analysis & visualization techniques
  • Learn from a #1 best-selling instructor and professional Power BI developer

Who This Course Is For:

  • Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop
  • Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills
  • Aspiring data professionals looking to master the #1 business intelligence tool on the market
  • Students who want a comprehensive, engaging, and highly interactive approach to training
  • Anyone looking to pursue a career in data analysis, analytics or business intelligence

This Course Includes:

  • 10 hours on-demand video
  • 9 articles
  • 9 downloadable resources
  • Access on mobile and Computer
  • Certificate of completion

Description

Welcome to the #1 best-selling Power BI Desktop course!

If you’re a data professional or aspiring analyst looking to learn the top business intelligence platform on the market, you’ve come to the right place. With more than 250,000 perfect 5-star reviews from students around the world, this is the course you’ve been looking for.

Throughout the course, you’ll learn from top instructors and put your skills to the test with hands-on projects and unique, real-world assignments.

THE COURSE PROJECT:

You’ll play the role of Business Intelligence Analyst for AdventureWorks Cycles, a fictional manufacturing company. Your role is to transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.

But don’t worry, we’ll be here to guide you along every step of the way, with intuitive, crystal clear explanations and helpful pro tips to take you from zero to expert – guaranteed.

This course is designed to follow the key stages of the business intelligence workflow (data prep, data modeling, exploratory data analysis, data visualization & dashboard design) and simulate real-world tasks that data professionals encounter every day on the job:

STAGE 1: Connecting & Shaping Data

In this stage we’ll focus on building automated workflows to extract, clean, transform, and load our project data using Power Query, and explore common data connectors, storage modes, profiling tools, table transformations, and more:

  • Data connectors
  • Storage & import modes
  • Query editing tools
  • Table transformations
  • Connecting to a database
  • Extracting data from the web
  • QA & Profiling tools
  • Text, numerical, date & time tools
  • Rolling calendars
  • Index & conditional columns
  • Grouping & aggregating
  • Pivoting & unpivoting
  • Merging & appending queries
  • Data source parameters
  • Importing Excel models

STAGE 2: Creating a Relational Data Model

In stage 2 we’ll review data modeling best practices, introduce topics like cardinality, normalization, filter flow and star schemas, and begin to build our AdventureWorks data model from the ground up:

  • Database normalization
  • Fact & dimension tables
  • Primary & foreign keys
  • Star & snowflake schemas
  • Active & inactive relationships
  • Relationship cardinality
  • Filter context & flow
  • Bi-directional filters
  • Model layouts
  • Data formats & categories
  • Hierarchies

STAGE 3: Adding Calculated Fields with DAX

In stage 3 we’ll introduce data analysis expressions (DAX). We’ll create calculated columns and measures, explore topics like row and filter context, and practice applying powerful tools like filter functions, iterators, and time intelligence patterns:

  • DAX vs. M
  • Calculated columns & measures
  • Implicit, explicit & quick measures
  • Measure calculation steps
  • DAX syntax & operators
  • Math & stats functions
  • Conditional & logical functions
  • The SWITCH function
  • Text functions
  • Date & time functions
  • The RELATED function
  • CALCULATE, FILTER & ALL
  • Iterator (X) functions
  • Time intelligence patterns

We’ll also introduce brand new features as they are released, powerful artificial Intelligence tools like decomposition trees, key influencers, smart narratives and natural language Q&A, and performance optimization techniques to keep your reports running smoothly at scale.

Ready to get started? Join today and get immediate, lifetime access.

Course Currilcum

    • 1. READ ME: Important Notes for New Students Details 00:02:00
    • 2. Course Introduction Details 00:03:00
    • 3. Meet Maven Analytics Details 00:01:00
    • 4. Course Structure & Outline Details 00:03:00
    • 5. DOWNLOAD: Course Resources Details 00:02:00
    • 6. Introducing the Course Project Details 00:03:00
    • 7. Setting Expectations Details 00:02:00
    • 8. Section Introduction Details 00:02:00
    • 9. Meet Power BI Desktop Details 00:05:00
    • 10. Downloading Power BI Details 00:03:00
    • 11. IMPORTANT: Adjusting Settings Details 00:04:00
    • 12. Power BI Desktop Interface & Workflow Details 00:03:00
    • 13. Resources & Monthly Updates Details 00:03:00
    • 14. Section Introduction Details 00:02:00
    • 15. Power BI Front-End vs. Back-End Details 00:02:00
    • 16. Types of Data Connectors Details 00:09:00
    • 17. The Power Query Editor Details 00:05:00
    • 18. Basic Table Transformations Details 00:11:00
    • 19. ASSIGNMENT: Table Transformations Details 00:01:00
    • 20. SOLUTION: Table Transformations Details 00:06:00
    • 21. PRO TIP: Storage & Connection Modes Details 00:03:00
    • 22. Connecting to a Database Details 00:05:00
    • 23. Extracting Data from the Web Details 00:04:00
    • 24. Data QA & Profiling Tools Details 00:12:00
    • 25. Text Tools Details 00:10:00
    • 26. ASSIGNMENT: Text-Specific Tools Details 00:01:00
    • 27. SOLUTION: Text-Specific Tools Details 00:03:00
    • 28. Numerical Tools Details 00:10:00
    • 29. ASSIGNMENT: Numerical Tools Details 00:01:00
    • 30. SOLUTION: Numerical Tools Details 00:02:00
    • 31. Date & Time Tools Details 00:11:00
    • 32. Change Type with Locale Details 00:05:00
    • 33. PRO TIP: Rolling Calendars Details 00:08:00
    • 34. ASSIGNMENT: Calendar Tables Details 00:01:00
    • 35. SOLUTION: Calendar Tables Details 00:02:00
    • 36. Index & Conditional Columns Details 00:10:00
    • 37. Calculated Column Best Practices Details 00:03:00
    • 38. Grouping & Aggregating Details 00:08:00
    • 39. Pivoting & Unpivoting Details 00:08:00
    • 40. Merging Queries Details 00:07:00
    • 41. Appending Queries Details 00:07:00
    • 42. PRO TIP: Appending Files from a Folder Details 00:08:00
    • 43. Data Source Settings Details 00:05:00
    • 44. PRO TIP: Data Source Parameters Details 00:14:00
    • 45. Refreshing Queries Details 00:03:00
    • 46. PRO TIP: Importing Excel Models Details 00:06:00
    • 47. Power Query Best Practices Details 00:02:00
    • 48. Section Introduction Details 00:02:00
    • 49. Data Modeling 101 Details 00:05:00
    • 50. Database Normalization Details 00:04:00
    • 51. Fact & Dimension Tables Details 00:03:00
    • 52. Primary & Foreign Keys Details 00:08:00
    • 53. Relationships vs. Merged Tables Details 00:03:00
    • 54. Creating Table Relationships Details 00:07:00
    • 55. Managing & Editing Relationships Details 00:03:00
    • 56. Star & Snowflake Schemas Details 00:03:00
    • 57. ASSIGNMENT: Table Relationships Details 00:01:00
    • 58. SOLUTION: Table Relationships Details 00:05:00
    • 59. PRO TIP: Active & Inactive Relationships Details 00:04:00
    • 60. Relationship Cardinality Details 00:05:00
    • 61. Connecting Multiple Fact Tables Details 00:07:00
    • 62. Filter Context & Filter Flow Details 00:06:00
    • 63. Bi-Directional Filters & Ambiguity Details 00:10:00
    • 64. Hiding Fields from Report View Details 00:05:00
    • 65. ASSIGNMENT: Filter Flow Details 00:01:00
    • 66. SOLUTION: Filter Flow Details 00:05:00
    • 67. PRO TIP: Model Layouts Details 00:04:00
    • 68. Data Formats & Categories Details 00:06:00
    • 69. Creating Hierarchies Details 00:09:00
    • 70. ASSIGNMENT: Hierarchies Details 00:01:00
    • 71. SOLUTION: Hierarchies Details 00:02:00
    • 72. Data Model Best Practices Details 00:01:00
    • 73. Section Introduction Details 00:02:00
    • 74. Data Analysis Expressions 101 Details 00:02:00
    • 75. DAX vs. M Languages Details 00:02:00
    • 76. Intro to DAX Calculated Columns Details 00:08:00
    • 77. Intro to DAX Measures Details 00:03:00
    • 78. Implicit vs. Explicit Measures Details 00:07:00
    • 79. Quick Measures Details 00:02:00
    • 80. RECAP: Calculated Columns vs. Measures Details 00:02:00
    • 81. PRO TIP: Dedicated Measure Tables Details 00:06:00
    • 82. Understanding Filter Context Details 00:09:00
    • 83. Step-by-Step DAX Measure Calculation Details 00:04:00
    • 84. DAX Syntax & Operators Details 00:04:00
    • 85. Common DAX Function Categories Details 00:04:00
    • 86 Basic Math & Stats Functions Details 00:10:00
    • 87. Counting Functions Details 00:13:00
    • 88. ASSIGNMENT: Math & Stats Functions Details 00:01:00
    • 89. SOLUTION: Math & Stats Functions Details 00:05:00
    • 90. Conditional & Logical Functions Details 00:07:00
    • 91. The SWITCH Function Details 00:11:00
    • 92. ASSIGNMENT: Logical Functions Details 00:02:00
    • 93. SOLUTION: Logical Functions Details 00:06:00
    • 94. Common Text Functions Details 00:08:00
    • 95. ASSIGNMENT: Text Functions Details 00:01:00
    • 96. SOLUTION: Text Functions Details 00:05:00
    • 97. Basic Date & Time Functions Details 00:08:00
    • 98. ASSIGNMENT: Date & Time Details 00:01:00
    • 99. SOLUTION: Date & Time Details 00:02:00
    • 100. Joining Data with RELATED Details 00:09:00
    • 101. The CALCULATE Function Details 00:15:00
    • 102. DAX Measure Totals Details 00:07:00
    • 103. ASSIGNMENT: CALCULATE Details 00:02:00
    • 104. SOLUTION: CALCULATE Details 00:07:00
    • 105. The ALL Function Details 00:10:00
    • 106. ASSIGNMENT: CALCULATE & ALL Details 00:01:00
    • 107. SOLUTION: CALCULATE & ALL Details 00:03:00
    • 108. The FILTER Function Details 00:08:00
    • 109. Iterator (X) Functions Details 00:15:00
    • 110. ASSIGNMENT: Iterators Details 00:01:00
    • 111. SOLUTION: Iterators Details 00:03:00
    • 112. Time Intelligence Patterns Details 00:14:00
    • 113. ASSIGNMENT: Time Intelligence Details 00:01:00
    • 114. SOLUTION: Time Intelligence Details 00:09:00
    • 115. DAX Best Practices Details 00:02:00
    • Microsoft Power BI for Business Intelligence Quiz 1 01:00:00

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