How Much Should You Know as a Data Analyst? | Codebasics

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Contents

1.1: What to Expect in this Module?

2.1: Why Fabric: AtliQ Hardware Problem Statement
2.2: View Fabric Using Your Power BI Account
2.3: Quiz
2.4: Breaking Down Fabric
2.5: How Much Should You Know as a Data Analyst?

3.1: Data Storage Options
3.2: Data Transformation Options
3.3: Quiz

4.1: Problem Statement: AtliQ Hardware Pilot Fabric Project
4.2: The Project Plan

5.1: Setting Up External Data in Fabric
5.2: Migrating Old BI 360 to Fabric
5.3: Update and Publish BI 360 to Fabric
5.4: Orchestrating Refreshes Using Data Pipeline

6.1: Domain Knowledge: Reliability in Supply Chain
6.2: Unguided Project Dataset

7.1: Final Quiz

Instructor

Dhaval Patel

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.

How Much Should You Know as a Data Analyst?

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