Tableau 10 A-Z: Hands-On Tableau Training For Data Science (Udemy.com)
Learn Tableau 2021 for data science step by step. Real-life data analytics exercises & quizzes included. Learn by doing!
Created by: Kirill Eremenko
Produced in 2021
Quality Score
Overall Score : 94 / 100
Course Description
You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly
- Connect Tableau to a Variety of Datasets
- Analyze, Blend, Join, and Calculate Data
- Visualize Data in the Form of Various Charts, Plots, and Maps
Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.
Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.
Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.
Contents and Overview
This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.
To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries.
Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.
In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.
You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources.
Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.
By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.
You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.Who this course is for:
- You should take this course if want to learn Tableau completely from scratch
- You should take this course if you know some Tableau skills but want to get better
- You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
Instructor Details
- 4.7 Rating
150 Reviews
Kirill Eremenko
My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!Hi there,
We are the SuperDataScience Social team. You will be hearing from us when new SDS courses are released, when we publish new podcasts, blogs, share cheatsheets and more!
We are here to help you stay on the cutting edge of Data Science and Technology.
See you in class,
Sincerely,
The Real People at SuperDataScience
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