Intro to Trifacta: Clean Your Data Quickly and Easily

Intro to Trifacta: Clean Your Data Quickly and Easily, available at $69.99, has an average rating of 4.2, with 48 lectures, 3 quizzes, based on 212 reviews, and has 861 subscribers.

You will learn about Navigate Trifacta's grid-view panel Upload datasets to Trifacta Begin a flow in Trifacta Engage Trifacta's predictive capabilities Use Trifacta's drop-down menus Isolate and view transformed rows Understand Wrangle language Use the header, derive, set, delete, drop, deduplicate, extract, split, settype, replace, and rename transforms Use the len, coalesce, find, if, in, ismissing, isvalid, isnull, ismismatched and coalesce functions Build patterns Escape special characters Use logical and comparison operators Employ matches Differentiate Numbering Systems This course is ideal for individuals who are You, if you are brand new to data cleaning or You, if you are brand new to using Trifacta software It is particularly useful for You, if you are brand new to data cleaning or You, if you are brand new to using Trifacta software.

Enroll now: Intro to Trifacta: Clean Your Data Quickly and Easily

Summary

Title: Intro to Trifacta: Clean Your Data Quickly and Easily

Price: $69.99

Average Rating: 4.2

Number of Lectures: 48

Number of Quizzes: 3

Number of Published Lectures: 48

Number of Published Quizzes: 3

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Navigate Trifacta's grid-view panel
Upload datasets to Trifacta
Begin a flow in Trifacta
Engage Trifacta's predictive capabilities
Use Trifacta's drop-down menus
Isolate and view transformed rows
Understand Wrangle language
Use the header, derive, set, delete, drop, deduplicate, extract, split, settype, replace, and rename transforms
Use the len, coalesce, find, if, in, ismissing, isvalid, isnull, ismismatched and coalesce functions
Build patterns
Escape special characters
Use logical and comparison operators
Employ matches
Differentiate Numbering Systems

Who Should Attend

You, if you are brand new to data cleaning
You, if you are brand new to using Trifacta software

Target Audiences

You, if you are brand new to data cleaning
You, if you are brand new to using Trifacta software

In this course, you’ll walk through Trifacta *basics step by step. We’ll take you through not only how to use **Trifacta and its transforms and functions, but also what common pitfalls you might encounter along the way while cleaning data. You’ll see the real experience of data cleaning. Data cleaning isn’t always clearcut, and this is why we’ll show you what it looks like to iterate changes on your dataset as new information presents itself during the data preparation/data munging process.

*This is a very basic course geared toward people who have little experience with data cleaning.

**Please note that in this course, we use an older version of Trifacta Wrangler.

Note:Data analysts and scientists spend up to 80 percent of their time preparing and cleaning their data. This is a lot of time that could be used in more important phases of the data life cycle, so saving time at the data preparation stage gives you a competitive edge in the data space because you can use saved time toward more important things, like analyzing your data.�

Forrester research identifies data preparation tools as “must haves.” Trifacta Wrangler is one of those tools and the product is guided by a board of advisors that has the likes of DJ Patil and Jeff Hammerbacher, among other notables. The company has designed the product to guide you through the data prep, requiring less coding skills.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Trailer

Lecture 2: Introduction

Chapter 2: Trifacta Basics

Lecture 1: Trifacta Download

Lecture 2: Dataset 1

Lecture 3: Dataset Upload

Lecture 4: Flows

Lecture 5: Grid Panel Overview

Lecture 6: Ready-Made Recipe Steps

Lecture 7: Quick Recipe Changes

Lecture 8: Suggestion Cards

Lecture 9: Keep and Delete

Lecture 10: Drop-Down Menu Changes

Lecture 11: Results Export

Lecture 12: Section 2 Conclusion

Chapter 3: Text and Strings

Lecture 1: Dataset 2

Lecture 2: Intro to Section 3

Lecture 3: Wrangle Language

Lecture 4: Text and Strings Overview

Lecture 5: Dataset Prep.

Lecture 6: Derive Transform with Len Function

Lecture 7: Data Fidelity

Lecture 8: Column Splitting

Lecture 9: Inconsistencies

Lecture 10: Strings and Patterns Overview

Lecture 11: String Cleanup

Lecture 12: Pattern Building

Lecture 13: Patterns with Replace Transform

Lecture 14: Split, Merge, and Left

Lecture 15: Special-Character Escape

Lecture 16: Set Transform with If Function

Lecture 17: Extract Transform

Lecture 18: Derive Transform with Find Function

Lecture 19: Coalesce Function

Lecture 20: Numbering Systems

Lecture 21: Section 3 Conclusion

Chapter 4: Data Filtering

Lecture 1: Intro to Section 4

Lecture 2: Dataset 3

Lecture 3: Intro to Data Filtering

Lecture 4: Deduplicate Function

Lecture 5: Column Removal before Analysis

Lecture 6: Isnull and Ismissing

Lecture 7: Ismismatched and Isvalid

Lecture 8: Comparison Operators

Lecture 9: Logical Operators

Lecture 10: String Value with In Function

Lecture 11: Matches

Lecture 12: Section 4 Conclusion

Lecture 13: Course Conclusion

Instructors

Data Crunch Training
We Train World Class Analysts at Fortune 500 Companies

Rating Distribution

1 stars: 1 votes
2 stars: 5 votes
3 stars: 30 votes
4 stars: 83 votes
5 stars: 93 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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