Transition to Online Credibility, Project Portfolio, and Resume

18.1: Final Quiz Mandatory

19.1: Transition to Online Credibility, Project Portfolio, and Resume

Dhaval Patel

Data Entrepreneur | YouTuber | Ex - Bloomberg, Nvidia

I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on YouTube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.

Hemanand Vadivel

Ex- Data Analytics Manager, 8+ Years in Europe, Microsoft Certified, Certified Supply Chain Professional

I’m a mechanical engineer who transitioned to a full time Data & Analytics manager in the UK & Germany by teaching myself Power BI, excel & anything else that was required to solve the problem. I have worked with complex data across Supply Chain, Sales, Marketing, Revenue Management, Finance and HR functions over the last 8 years to deliver effective solutions. To me, Analytics is an extra sensory organ that anyone can develop to become a superhuman at work. I have conducted several workshops and internal training to help non-technical people to become superhuman at work and now, really excited for this opportunity to share all that knowledge with you in this course.

Transition to Online Credibility, Project Portfolio, and Resume

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Contents

1: Welcome to the Power BI Experience

1.1: Welcome to Power BI 2.0

1.2: How Learning Power BI Can Help You in Your Career?

2: Power BI Basics: Getting Started NEW

2.1: Install Power BI

2.2: Power BI: Tool Introduction

2.3: Power Query: Intro & Column Transformations

2.4: Power Query: Merging and Appending

2.5: Power Query: Best Practices

2.6: Introduction to DAX

2.7: Introduction to DAX - II

2.8: Introduction to Data Modeling

2.9: Introduction to Creating Visuals

2.10: Tony asks Peter to Fix Data Holes

2.11: Practice Exercise

2.12: Chapter Summary

2.13: Quiz

3: Project Planning and Scoping

3.1: Problem Statement

3.2: The Email that Started this Project

3.3: Project Kick-off Meeting

3.4: Learn how a ‘Project Charter’ is Used in Companies

3.5: Project Kick-off: Session Debrief

3.6: Senior Data Analyst Sets Up the Next Steps with Junior Data Analyst NEW

3.7: Simplified: Profit and Loss Statement

3.8: Chapter Summary

3.9: Quiz

4: Power BI Basics: Data collection, Exploration & Validation

4.1: Simplified: Data Warehouse, OLTP vs OLAP, Data Catalog

4.2: Install MySQL and Import Data

4.3: Simplified: Data Exploration Using SQL, Star Schema, Fact vs Dimension Tables

4.4: Load and connect data with MySQL

4.5: Create a Date Dimension Table

4.6: Validate Data against Benchmark Numbers

4.7: Tony’s Valuable Advise to Peter NEW

4.8: Practice Exercise

4.9: Chapter Summary

4.10: Quiz

5: Power BI Basics: Data Transformation in Power Query

5.1: Review Finance View Mockups

5.2: How to Enhance your Mockups

5.3: Transform Data in Power Query Editor

5.4: Create Calculated Columns in Power Query Editor

5.5: Power Query Best Practices

5.6: Peter Gets His Hands Dirty NEW

5.7: Practice Exercise NEW

5.8: Chapter Summary

5.9: Quiz

6: Get Your DAX Fear Removed NEW

6.1: Peter's Fear for DAX

6.2: DAX Behaviour: Filter Context

6.3: DAX: Using Calculate to Change Filter Context

6.4: All and ALLEXCEPT

6.5: Direct Filters and FILTER Function

6.6: DAX Calculated Column

6.7: Practice Exercise

6.8: Chapter Summary

6.9: Quiz

7: Power BI Advanced: Data Modeling & Calculated Columns

7.1: Power Query or DAX for Generating Calculated Columns?

7.2: Data Modelling: Star and Snowflake Schema

7.3: Data Modeling: Connect Dimensions with Fact Tables

7.4: Simplified: Why Do We Need Dimension Tables?

7.5: Mentor Talk: Congratulations! You are Levelling Up!

7.6: Create Calculated Columns Using DAX

7.7: Easy Way to Verify Your Numbers in Power BI

7.8: Assignment: Optimize Report and Reduce File Size by 25 %

7.9: I Need a Favour

7.10: Chapter Summary

7.11: Quiz

8: Power BI Advanced: Build Finance View

8.1: Finance View: Prepare a List of Metrics

8.2: Simplified: Calculate Function & Filter Context

8.3: Finance View: Creating Metrics

8.4: Finance View: Create P&L Table Structure

8.5: Finance View: Create Last Year (LY) Column

8.6: Finance View: Build an Ultimate DAX Measure for P & L Table Structure - I

8.7: Finance View: Build an Ultimate DAX Measure for P & L Table Structure - II

8.8: Finance View: Create ‘Quarters’ & ‘YTD/YTG’ Slicers