Tableau Prep Masterclass: Data Preparation, Analysis & ETL

Destiny For Everything


Tableau prep for Information Preparation | Information Cleansing | Information validation | Information integration earlier than Evaluation & Visualization

What you’ll be taught

Uncover superior knowledge preparation methods in Tableau Prep to successfully streamline your knowledge pipeline

Grasp Tableau Prep’s ETL capabilities to scrub, mix, and remodel advanced knowledge units into significant insights

Develop knowledge evaluation expertise in Tableau Prep to generate deeper insights and developments out of your knowledge

Discover Tableau Prep’s automation options to simplify and speed up your workflows

Learn to join and mix a number of knowledge sources in Tableau Prep

Construct knowledge fashions and create data-driven insights utilizing Tableau Prep

Description

If you’re trying to streamline your knowledge pipeline and remodel uncooked knowledge into actionable insights, you’re in the proper place! On this Tableau Prep Masterclass, you’ll grasp the artwork of information preparation, evaluation, and ETL, empowering you to show advanced knowledge units into impactful visualizations.

All through the course, you’ll develop the next expertise:

  • Develop superior knowledge preparation methods to streamline your knowledge pipeline
  • Grasp Tableau Prep’s ETL capabilities to successfully clear, mix, and remodel your knowledge
  • Leverage superior evaluation instruments to generate deeper insights out of your knowledge
  • Make the most of Tableau Prep’s highly effective automation options to simplify and speed up your workflows

Understanding the significance of information preparation and knowledge integration is essential in at this time’s data-driven world, because it allows you to make knowledgeable choices and acquire a aggressive edge. On this course, you’ll full a collection of hands-on actions, together with real-world knowledge preparation and evaluation eventualities, to use your new expertise and solidify your understanding.

What makes this course distinctive is the excellent strategy we take to Tableau Prep. We’ll cowl all the important thing elements of information preparation, evaluation, and ETL, and also you’ll obtain step-by-step steering from business consultants with years of expertise in knowledge analytics.

Our Promise

Educating our college students is our job and we’re dedicated to it. You probably have any questions concerning the course content material, observe sheet, or something associated to any matter, you’ll be able to at all times submit a query within the course or ship us a direct message.

Be part of us at this time and take step one in the direction of turning into a Tableau Prep Grasp!

English
language

Content material

Introduction

Introduction

Set up and getting began

Tableau prep Set up
Course Sources
It is a Milestone!
The instance downside assertion
Demonstration of Tableau transformation

Primary ideas – Concept for foundational understanding

What’s ETL
Information Warehouse, Ops Database
Inmon vs Kimble
ETL vs ELT

The ETL course of: The sensible half begins right here

Information and the ETL course of

DATA EXTRACTION: Extracting tabular knowledge

Inputting Information from a TXT (textual content) file
Inputting Information from CSV file
Inputting Information from Excel file

Extracting knowledge from an SQL desk

Plan for importing gross sales knowledge
Putting in and establishing postgreSQL
Creating Gross sales desk in Sql
Exporting from an SQL desk

Storing and Retrieving Information from Cloud storage

Storing and Studying Information on Google Drive
Importing Product knowledge

Merging Information streams

Merging buyer desk
Merging Gross sales Information

Information Cleaning

Introduction to Information Cleaning
Worth Mapping
Changing Strings
Fuzzy Matching Idea
Fuzzy Matching in Tableau Prep
Altering knowledge format
Widespread knowledge Cleansing steps

Information Validation

Introduction to Information validation
Information validation 1 – String to Int and integer vary validations
Information validation 2 – Checking Reference Values
Information validation 3 – Order date < transport date
Widespread knowledge validation

Error Dealing with

Correcting the errors
Writing the error to separate file

Transformation and Analytics steps

Concatenation
Aggregation
Normalization and Denormalization
Categorising clients with Age

Conceptual understanding for Loading Information

Information and dimension desk
Surrogate key in dimension desk

Loading the information right into a Information Mart

Creating tables in Database
Loading Buyer Information
Loading Product Information
Loading Gross sales Information

Shifting to Tableau Desktop

Tableau Desktop

Congratulations and about your certificates

The ultimate milestone
Bonus Lecture

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