Master Course in Tableau Prep - Prepare & Clean Data

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2019-12-08
Learners

No Information
Duration

No Information
Instructor

Jamie Fry

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4.5

6,286 Ratings

This Master Course in Tableau Prep - Prepare & Clean Data is the perfect way to learn all the functionality of Tableau Prep. Led by Jamie Fry, an experienced Tableau user with 10 years of workplace experience, the course is divided into three stages and is suitable for beginners with no prior knowledge of data preparation or cleansing. Fry's technical teaching comes with real workplace Do's and Don'ts, giving learners an insight they won't get from full time instructors. With this course, learners can progress from beginner to competent user in just one concise course. Click now to find out more about the precise functionality taught.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This Master Course in Tableau Prep - Prepare & Clean Data is designed to provide new learners with the necessary skills to become competent users of Tableau Prep. No prior knowledge of data preparation or cleansing is required, as the course is divided into three stages: First Steps, Creating Data Flows, and a Project. While knowledge of Tableau Desktop is preferred, it is not essential. The course is taught by Jamie Fry, who has 10 years of experience with Tableau products in the workplace. Fry's technical teaching of this tool comes with real workplace Do's and Don'ts, providing learners with a unique insight that they would not receive from full time instructors who have been out of the workplace for a number of years. For further information on the precise functionality taught, please refer to the 'Curriculum For This Course' below.

Course Syllabus

Introduction

First Steps

Creating Data Flows

Project

Bonus Lectures

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