Alteryx: Data Science for Non-Scientists (Udemy.com)
Designed specifically for beginners with no background in Data Science, Computer Science or Alteryx
Created by: Jed Guinto
Last updated May 2020
What you will learn
- Data cleansing
- Extract, Transform and Load (ETL) Methodology
- Data Science: Machine Learning and Predictive Modelling
Course Description
I've been using visualization tools such as Tableau for a very long time and before that Excel. When data is clean its so much fun to do visualizations and reporting. However, in reality, data is more often than not very dirty, messy, incomplete or needs to be combined with other data sets.
Therefore, you need a tool that can help you combine, consolidate and manipulate data in just the way you need it. In addition this, the other problem with standard business processes is the repetitive manual work we need to perform every single day. The routine is always the same. Data comes in, we filter here and there, do some calculations and send it out. Wouldn't it be nice to automate this without needing to know programming languages such as VBA, SQL or Python?
Well the answer is Alteryx! Alteryx has built in, drag and drop tools designed specifically to make the data cleansing process easier. What would usually take me hours to do in Excel I can do in just minutes in some cases. The beauty is that once I've set it up the first time all I need to do is press RUN! This saves me a lot of time!
***
The other benefit of Alteryx is the ability to perform MACHINE LEARNING analysis. Machine Learning or Artificial Intelligence in some circles, is the ability to predict and classify data. For example, when watching Netflix, they collect your viewing habits to find recommendations for movies you may like. Or on Amazon and eBay, your buying habits are analyzed to predict the most likely items you'd want to but in the future. But it doesn't stop here! Machine Learning is a MASSIVE and EXCITING space to get into!
if you're like, who doesn't have a Computer Science, Programming or Data Science background then this course is for you. No fancy languages or terminology. In this course I'll teach you the basics of Alteryx and ultimately get you started on Machine Learning!
Instructor Details
- 4.5 Rating
229 Reviews
Jed Guinto
WHAT UDEMY HAS SAID ABOUT MY COURSES:
'We looked at some data + feedback from your courses and found you ranked in the top group of instructors on Udemy! Students love taking courses from instructors they trust'
PC MAG:
'Jed Guinto is something of an Udemy wunderkind. 'There are all-stars, such as Mr. Guinto, who do well by any metric'
WHAT MY STUDENTS SAY ABOUT ME:
Yu Hui Jun Yu - The courses are simply amazing and I can learn them rapidly. The hints presented were also very useful. I like the 'mini-lesson' format. Fast and efficient. The instructor's direction is very detailed and easy to understand. I can immediately start using this program. Thanks.
Narayanan Krishnamoorthy - Perfect and to the point...the instructor doesn’t waste time and gets to the point quickly/
Lala Darchinova - I've been looking for this kind of course for ages! And finally I find it. Short, comprehensive and absolutely interesting. Thank you for the work you are doing.
Spencer Berkman - Extremely knowledgeable and clear on instructions.
E Frank - Simple to learn techniques and instructor made it all really easy. Thank you.
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Reviews
By Anne-Sophie Busnardo on 11/10/2024
Thank you so much for this course ! Jed is one of the best professors I have been following on Udemy. He makes it super easy to follow from a beginner's point of view but does get into more technical things, taking the time to explain. I am also following his Tableau course and getting into expert section. Jed makes it so much fun - you just want to keep watching and learning ! Thank you so much for making these courses. When will the next sections for Alteryx be posted ? :)
By Deepak Holla on 9/16/2021
Hi Udemy Folks, This is a very good course to get a quick understanding of Basic Alteryx Tools and Workflow topics. It would be great if the Intermediate and Advanced Topics are updated in this course as it would give a more rounded understanding of Alteryx. A worthy course for Alteryx if you are new to it!!! Regards, Deepak.
By Bushra Akhtar on 5/6/2021
Where is the machine learning content? That is my main reason for purchasing the course! I can see in the questions sections others have asked the same months ago so I would have expected this to be included by now.
By Bipin Ghimire on 6/25/2020
I want to go for the data analytics field but it looks like this course is incomplete. Please suggest when I will be getting more videos and what I need to learn more for a data analyst.
By Susovon Ghosh on 6/6/2020
Yes, It is a good match for me. However certain things is missing like how to get the alteryx tool. I really liked the course content. And still there are many more to come. I will be waiting for those for sure.
By Arafat Bakhsh on 6/1/2020
A really good course. At this point it is targeting the beginners. The case study in the end was the cherry on the top. Looking forward to the intermediate and expert sections. A note: No Q&A tab for this course, why is that?
By Frederick Zoreta on 5/19/2020
Jay is such an AMAZING teacher! I actually feel so damn LUCKY to have gotten this course during the 'free phase'. He actually exceeded my expectations. I surely look forward to the upcoming parts of this course.
By Shivendra Pratap Yadav on 5/13/2020
I had a little idea about statistical part of Data analytics ,however I couldn't ever relate it to real world examples. This tutorial was pretty smooth and is really good for a novice.
By scott Emond on 4/30/2020
Great introduction and of course, it is FREE! So, this may very well wet your whistle to go on to a more in-depth course, but still, a great place to start.
By Reem Ashour on 4/21/2020
The instructor has simple way to deliver his knowledge which is perfect for beginner but transcription of the videos need revision for example alteryx transcribed as all tricks.
Quality Score
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Overall Score : 90 / 100












