Introduction to Trifacta (Alteryx Cloud Designer)
Data Integration, Data Preparation and Exploratory Data Analysis all in one tool
Note: 4.5/5 (25 notes) 5,721 students
Instructor(s): Malvik Vaghadia
Last update: 2022-09-07
What you’ll learn
- Learn how to clean, transform and analyse data
- Data Integration
- Exploratory Data Analysis
- Trifacta Wrangler basics
- No prior experience
So much time in Data Science, Analytics or Analysis activities is spent preparing data, approximately 50-80 percent!
The need for efficiency and capabilities in terms of data integration, preparation and transformation is understandably at an all time high.
That’s where Trifacta Wrangler comes into play with its extensive capabilities in Extracting, Transforming and Loading (ETL) data.
This course is for absolute beginners and will cover the basics to get you started.
We will be using a movie ratings dataset and introduce some real world style requirements so you can get hands on experience.
In this course you will:
Set up a free trial of Trifacta cloud
Learn the basics of Trifacta, its ecosystem and the interface
Understand Trifacta terminology such as Recipes and Flows
Ingest raw data and output clean, transformed data as per real world requirements
Understand how to collaborate and share flows
In just one hour you will go from absolute beginner to being able to integrate data from multiple sources, perform data preparation and cleansing to raw data sets, exploratory data analysis and more.
As your instructor I am a professional Data Consultant and have over 10 years of on the job experience working for both private and public experience.
I have over 100,000 students enrolled in my courses worldwide and all of my courses have an average rating of over 4.5
Who this course is for
- Absolute beginners
- Anyone interested in cleaning and preparing raw data
- Introduction and Set Up
- Course Introduction
- What is Trifacta?
- Setting up Your Trial Account
- Interface Overview
- Dataset Download
- Transforming your Data
- Creating your first “Flow”
- The Transformer View
- Formatting Data
- Supported Data Types (External Link)
- Introduction to Functions
- Trifacta Functions (External Link)
- Filtering Records
- Working with Dates
- Splitting and Extracting Data
- Text and Pattern Matching (External Links)
- Adding a Conditional Column
- Pivot and Unpivot
- Grouping your Data
- Jobs and Collaborating
- Running Outputs and Scheduling your Flow
- Sharing and Collaborating
Google Project Management [Coursera with Google]
Time remaining or 287 enrolls left
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