08-06-2024, 11:09 PM
[center]![[Image: 1248866-794c-7.jpg]](https://i.postimg.cc/h4H9fs0q/1248866-794c-7.jpg)
Last updated 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 20m | Size: 2.98 GB
[/center]
Learn Alteryx Designer Desktop and Alteryx Designer Cloud! Packed with assignments and a dedicated course project.
What you'll learn
Learn how to clean, transform and analyse data
Data Integration
Exploratory Data Analysis
Trifacta Wrangler basics
Requirements
No prior experience
Description
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 Alteryx Designer 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 variety of datasets and you'll be introduced to some real world style requirements so you can get hands on experience.In this course you will:Set up a free trial of Alteryx Designer Desktop cloudLearn the basics of Alteryx, its ecosystem and the interfaceIngest raw data and output clean, transformed data as per real world requirementsGet hands-on with Data Preparation, Transformation and Data Blending activitiesComplete a 2 part dedicated course project to hone your skills and apply what you've learntIn just one weekend 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.About meAs 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
Homepage
Screenshots
Last updated 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 20m | Size: 2.98 GB
[/center]
Learn Alteryx Designer Desktop and Alteryx Designer Cloud! Packed with assignments and a dedicated course project.
What you'll learn
Learn how to clean, transform and analyse data
Data Integration
Exploratory Data Analysis
Trifacta Wrangler basics
Requirements
No prior experience
Description
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 Alteryx Designer 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 variety of datasets and you'll be introduced to some real world style requirements so you can get hands on experience.In this course you will:Set up a free trial of Alteryx Designer Desktop cloudLearn the basics of Alteryx, its ecosystem and the interfaceIngest raw data and output clean, transformed data as per real world requirementsGet hands-on with Data Preparation, Transformation and Data Blending activitiesComplete a 2 part dedicated course project to hone your skills and apply what you've learntIn just one weekend 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.About meAs 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
Homepage
Screenshots
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