Brian Graves Profile picture
Oct 6, 2022 15 tweets 12 min read Read on X
In #DataAnalytics, it's impossible to remember everything you need to know about #Python.

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

Here are 12 Python Data Cheat Sheets for you to download now.⤵
#DataFam #AllAboutTheData 🐍 Image
1. Python Crash Course Cheat Sheet by @ehmatthes

A mega-collection of Python cheatsheets! 🤩

Provides an overview of the basics of Python including variables, lists, dictionaries, functions, classes, Matplotlib, Plotly, and more.

Download now: twtr.to/pccb 👇 Image
2. Python Data Nine-in-One by @DataCamp

A great collection of 9 super-detailed Python cheatsheets geared towards #data professionals.

Includes cheat sheets for Python basics, Jupyter, NumPy, scipy, pandas, and more.

Download now: twtr.to/9in1 👇 Image
3. Data Wrangling in Pandas by @DataCamp

Data wrangling is a must-have skill for every data analyst. Use this handy cheat sheet to reshape, group, and blend data in Python for your next project.

Download now: twtr.to/dcdw 👇 Image
4. Data Wrangling with Pandas by @PyData

Pandas is the best library for working with data in Python and this cheat sheet shows you the basics of how to prep and blend data quickly and easily.

Download now: twtr.to/pddw 👇 Image
5. NumPy Cheat Sheet by @DataCamp

NumPy is a powerful Python library to work with arrays in Python. There are a TON of features in NumPy but this cheat sheet has the basics to get you started.

Download now: twtr.to/dcnp 👇 Image
6. Pandas Basics Cheat Sheet by @DataCamp

Pandas is built on NumPy and makes it easy to work with data with Python. This cheat sheet provides a quick start on the basics of this powerful library.

Download now: twtr.to/dcpd 👇 Image
7. Seaborn Cheat Sheet by @DataCamp

Seaborn is a great data visualization library (probably my favorite right now) and is built on top of matplotlib. This cheat sheet will get you started quickly! ⚡

Download now: twtr.to/dcsb 👇 Image
8. Importing Data Cheat Sheet by @DataCamp

To do any #DataAnalytics work in #Python, you've gotta have data. This cheat sheet gives examples how to import data from 9 common use cases (csv, #Excel, #SQL, etc.)

Download now: twtr.to/dcid 👇 Image
9. Bokeh Cheat Sheet by @DataCamp

Bokeh makes it simple to create common charts and graphs in Python but also can handle custom or specialized use cases. Use this cheat sheet to get up and running in no time.

Download now: twtr.to/dcbok 👇 Image
10. Pandas Cheat Sheet by @dataquestio

This cheat sheet is great for Data Analysts that want to use Python. Topics include importing and exporting, data cleansing, filtering, sorting, grouping and more.

Download now: twtr.to/dqpd 👇 Image
11. Pandas Cheat Sheet by @IntellipaatS

This Pandas cheat sheet covers the basics of the Pandas library including plotting, common operations, grouping, and other useful functions.

Download now: twtr.to/ippd 👇 Image
12. Plotting with Pandas Cheat Sheet by @enthought

This one-page cheat sheet shows some of the common ways to plot data with Pandas in a visual layout. Take your Pandas skills to the next level!

Download now: twtr.to/enpdp 👇 Image
That's it! Use these 12 cheat sheets to save time on your next Python data project.

If you found this list useful, please Like and Retweet the first tweet in this thread! 👇
If you liked this, you'll love my weekly newsletter.

One actionable data analytics tip on SQL, Tableau, Excel, or Python every Saturday morning. Join 2,000+ subscribers for free:⤵
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More from @NewPrediction

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
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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
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
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
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
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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