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Brian Graves Profile picture
@NewPrediction
Sep 21, 2022 • 10 tweets • 6 min read • Read on X
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In #DataAnalytics, it's impossible to memorize everything you need to know about #Tableau.

Fortunately, there are amazing cheat sheets so that you don't have to memorize the basics.

Here are 7 Tableau Cheatsheets for you to download now:⤵
#DataFam #AllAboutTheData
1) DataCamp

In this Tableau Cheat Sheet, you'll learn how to create your first visualization, top visualizations in Tableau, creating dashboards, stories, and more.

Download now: twtr.to/r6am
2) Intellipaat

This cheat sheet will provide you with all the basics of the Tableau desktop that you need to know to get started with Tableau

Download now: twtr.to/xqR-
3) Tableau Cheat Sheet

This cheat sheet includes some of the basic Tableau components like sheets, dashboards, and containers and also includes links to helpful videos.

Download now: twtr.to/B9Y7
4) Tableau Calculation Types (63-page PDF)

This MEGA cheat sheet covers Tableau calculations in an easy-to-understand way. Learn about calc types, common use cases, complex calculations, and more.

Download now: twtr.to/Y11s
5) Date Calculation Cheat Sheet from @flerlagekr

This interactive Tableau cheat sheet includes 44 reusable date calculations, with filters to select the date calculation you're looking for.

Download now: twtr.to/WQgt
6) Tableau Keyboard Shortcut Cheat Sheet

Move around Tableau quickly with the keyboard by using this handy keyboard shortcut cheat sheet.

Download now: twtr.to/KYf9
7) Tableau Quick Reference Cheat Sheet

This quick reference guide covers the basics like each of the panels and cards in the Tableau UI, common tasks, and more.

Download now: twtr.to/QQ3m
I hope you've found this thread helpful.

Follow me @NewPrediction for more.

Like/Retweet the first tweet below if you can:
If you liked this, you'll love my weekly newsletter.

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More from @NewPrediction

Brian Graves Profile picture
Jul 20, 2023
Data analytics is the ultimate career choice if you want to earn a high salary and work from anywhere.

I thank my lucky stars that I made the jump 15+ years ago and have stuck with it for all these years.

4 simple steps I'd take if I were starting today: ⤵️
🟢 Step 1: Start with SQL

Learning everything you need to know about data analytics all at once is impossible.

Instead, start with SQL.

Head over to (it’s free) and start working on practice problems.

Start at 30 minutes and commit to daily practice.sqlbolt.com
If you want to master the fundamentals of SQL in 30 days, check out Solving with SQL.

• Live group coaching sessions
• Mentorship and accountability
• Real-world business problems with SQL

Join the October cohort waitlist:

solvingwithsql.com
Read 18 tweets
Brian Graves Profile picture
Mar 4, 2023
Online Data Analytics Portfolio Hosting 101:

The step-by-step process to creating an awesome portfolio website in 60 minutes or less: ⤵️
Many beginner data analysts waste a lot of time trying to get their portfolios online:

• Using amateur-looking platforms like Google Sites
• Using clunky sites like Kaggle and GitHub
• Procrastinating because it’s too hard
But, your online data analytics portfolio sends a signal: "I can solve problems with data."

And recruiters and hiring managers know what they need:
• Professionals that can work with data
• Analysts that know how to think
• Sample work to show skills
Read 18 tweets
Brian Graves Profile picture
Mar 2, 2023
Data analytics is a great career choice.

I’m so happy I made the jump 15+ years ago and have stuck with it for all these years.

Here are the exact steps I would take if I were starting over in data analytics today: ⤵️
🟢 Step 1: Start with SQL

Learning everything you need to know about data analytics all at once is impossible.

Don’t even try.

Instead, start with SQL. Head over to sqlbolt.com (it’s free) and start working on practice problems.

Start at 30 minutes. Repeat daily.
Unfortunately, many analysts won’t bother learning SQL first.

Instead, they:
• procrastinate.
• get distracted
• aim for perfection
• switch to something else

Don't let impostor syndrome set in and rob you of your future as a data analyst. Avoid it like the plague.
Read 16 tweets
Brian Graves Profile picture
Feb 28, 2023
Learning SQL is an absolute must for aspiring data analysts.

Fortunately, there are places online where you can learn this invaluable skill – without paying a penny.

Here are 8 free websites to sharpen your SQL skills:⤵️
1) KDNuggets

Learn how to create a table, insert values, and use SQL commands to solve this case study.

Learn more: t.ly/sql-case-study
2) InterviewQuery

Work through example business issues, define metrics, and write the SQL to solve each problem.

Learn more: interviewquery.com/p/sql-case-stu…
Read 11 tweets
Brian Graves Profile picture
Feb 26, 2023
The step-by-step process to find awesome datasets for your next data analytics portfolio project: ⤵️
Many beginner data analysts have trouble finding a usable data set for their portfolio.

The problem?

There are 86 zillion "free" data sets online, but 99% of them suck.

And if you think just Googling will help, you're dead wrong.

Here's how to find the best ones (for you):
🟢 Step 1: Find a data set that interests you

By finding a data set that’s interesting to you, you’ll actually be excited to include it in your project.

Where to look:
• Real World Fake Data
• Data Is Plural

Here are some portfolio-ready examples from each one:
Read 16 tweets
Brian Graves Profile picture
Feb 9, 2023
Data Analytics Portfolio Project Writing 101:

How to write about your data projects without being boring – even if you feel like you have nothing to say:
Writing well about your projects has long-term benefits:

It shows you know how to:
• think through problems
• explain your work with ease
• structure projects from start to finish

The problem?
Most beginner data analysts don't realize the power of writing and miss out on the benefits.

Fortunately, you can crack the code on your project write-ups so that you never have to stare at the blank page again.

It's called the STAR Method.

And here's the step-by-step process:
Read 14 tweets

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