Data modeling | Codebasics

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Contents

1.1: What to expect in this module and career benefits overview

2.1: Installing Tableau Public
2.2: Introduction to Tableau Interface
2.3: Data modeling
2.4: Data transformation (cleaning, filtering, joining)
2.5: Creating Measures
2.6: Quiz
2.7: Creating Basic Visuals
2.8: Creating dashboard & Stories
2.9: Tableau vs Power BI: Key Difference
2.10: Quiz

3.1: All Takeaways for Tableau Basics

4.1: Parameters
4.2: Introduction to LOD expressions
4.3: EXCLUDE: Simple Explanation with a Usecase
4.4: FIXED: Simple Explanation with a Usecase
4.5: INCLUDE: Simple Explanation with a Usecase
4.6: Quick Summary: LOD Expressions vs DAX
4.7: Quiz

5.1: All Takeaways for Tableau Advanced

6.1: About this Guided Project
6.2: Problem Statement
6.3: Data Discovery
6.4: Data Analysis Using SQL
6.5: Data Cleaning & ETL in Tableau
6.6: Build a Tableau Dashboard
6.7: Feedback From Stakeholders & Profit Analysis

7.1: Why you need to do this project
7.2: Provide Insights to the Product Strategy Team in the Banking Domain

8.1: Final Quiz

Instructor

Hemanand

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.

Data modeling

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