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Tips to Win Business Intelligence (BI) Career Opportunities

Original price was: $999.00.Current price is: $49.00.

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Tips to Win Business Intelligence (BI) Career Opportunities

Tips to Win Business Intelligence (BI) Career Opportunities
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 33M | Lec: 10 | 989 MB Genre: eLearning | Language: English
A Roadmap for Passing a Job Interview to Become a Successful BI Subject Matter Expert

If you’re looking for a comprehensive, hands-on guide to learning Microsoft Power BI Desktop, you’ve come to the right place.

Power BI is quickly becoming the world’s most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike. With Power BI you can connect to hundreds of data sourcesbuild complex relational models using simple and intuitive tools, and design stunning, interactive dashboards from scratch — all for free.

THE COURSE PROJECT:

In this course, you’ll be playing the role of Lead Business Intelligence Analyst for Adventure Works Cycles, a global manufacturing company. Your mission? To design and deliver a professional-quality, end-to-end business intelligence solution, armed only with Power BI and a handful of raw csv files.

But don’t worry, I’ll be guiding you through the ins-and-outs of Power BI Desktop, sharing crystal clear explanations and helpful pro tips each step of the way. We’ll follow a steady, systematic progression through the Power BI workflow, and break down our project into FOUR KEY OBJECTIVES:

  • Basic Table Transformations
  • Text, Number & Date Tools
  • Index & Conditional Columns
  • Grouping & Aggregating Data
  • Pivoting & Unpivoting
  • Modifying, Merging & Appending Queries
  • Connecting to Folders
  • Defining Hierarchies & Categories
  • Query Editing & Power BI Best Practices

POWER BI OBJECTIVE #2: Build a Relational Data Model

  • Intro to Database Normalization
  • Data (“Fact”) Tables vs. Lookup (“Dimension”) Tables
  • Creating Power BI Table Relationships
  • “Star” vs. “Snowflake” Schemas
  • Active vs. Inactive Relationships
  • Relationship Cardinality
  • Connecting Multiple Data Tables
  • Filtering & Cross-Filtering
  • Hiding Fields from the Power BI Report View
  • Data Modeling & Power BI best Practices

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