Brian Graves Profile picture
Sep 22, 2022 13 tweets 7 min read Read on X
The #1 way to get noticed during the hiring process, is to have an awesome #DataAnalytics portfolio.

Unfortunately, most aspiring analysts don't know where to start.

Here are 10 data analytics portfolios that will inspire you to take the first step: ⤵
#DataFam #AllAboutTheData
1) Ger Inberg – Data Science Developer

Ger's portfolio showcases data viz, machine learning, and web dev projects. Each project includes a brief overview and link for details.

👉 gerinberg.com
2) James Le

James's portfolio focuses on data analyst projects, using Jupyter and R notebooks. Definitely check this out if you want to showcase your coding skills.

👉 jameskle.com/data-portfolio
3) Yan Holtz – Data Analysis & Visualization

Yan's portfolio is impressive. It includes links to a few awesome projects that he's created around data visualization that really show his expertise!

👉 yan-holtz.com
4) Anubhav Gupta – Data Analysis & Visualization

Anubhav's portfolio displays projects based on the role like ML engineer, backend dev, etc. It's a great way to show all the different skills that you bring to the table!

👉 binnie869.github.io
5) Jessie-Raye Bauer – ML Engineer

Jessie-Raye's portfolio shows some impressive data science projects. Each one includes a blog post and links to GitHub repos for the code.

👉 jessierayebauer.wixsite.com/jrbauer/portfo…
6) Claudia ten Hoope – Freelance Data Analyst/Scientist

Claudia's portfolio shows examples of her work and what can be done for freelancing clients, including data visualization, analytics, and web development.

Very professional!

👉 claudiatenhoope.com
7) Harrison Jansma – Coder and Analyst

Harrison's portfolio displays several coding and analytics projects with blog write-up.

The write-ups are a great way to give background information and details.

👉 harrisonjansma.com
8) Naledi Hollbruegge – Consulting Data Analyst

Naledi's portfolio includes examples of work and personal projects.

Be sure to check out Naledi's #TableauPublic site, too!

👉 naledi.co.uk
9) Dena Coduri – Data Analyst

Dena's portfolio shows data projects and includes links to GitHub repos, Tableau dashboards, and project write-ups.

I really like that all three aspects are combined for each portfolio piece!

👉 denacoduri.com/portfolio
10) David Venturi – Data Curriculum Developer

David's portfolio includes projects involving coding, creating courses, and websites he's developed.

Highly recommend this if you have a lot of projects and need some organizational inspiration.

👉 davidventuri.com/portfolio
That's it!

Having a data analytics portfolio is the best way to get noticed if you're looking for a data analytics job.

Use these examples to get inspired and take action today!
If you like this thread, you'll love my weekly newsletter.

One actionably 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
Read 18 tweets
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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