Image Credit: Author’s Illustration “Resource Bank.”

Resource Bank: Topical List Of Resources

Periodically Updated List Of Resources, Arranged By Topic, Data Science, Machine Learning, Statistics, Careers

Table Of Contents

1) Building A Professional Portfolio   Getting A Portfolio Started
Adding & Enhancing A Portfolio
Contribute To Other Projects
2) Data Science & Machine Learning Making Fictional Data
(For testing, training, demonstration)
K-Nearest Neighbors
Distance Measures
Automating Data Collection
3) Career Advice Big Career Mistakes (Big Ones)
Career Paths
LinkedIn
4) Data Culture Data Driven Culture?
What Is A Data Set?
Columns, Variables, Dimensions . . .
5) Professional Writing Resources Common Writing Mistakes
Research Questions
6) Personal Meets Professional Coming Out

Building A Professional Portfolio

Building a professional portfolio takes time and dedication. These articles provide advice on how to get started. Once started, these articles also provide advice on how to keep going by adding to and enhancing your existing professional portfolio.

Adding & Enhancing A Portfolio

The article, How You Can Add To And Enhance Your Data Science Portfolio presents four specific tips (specific project ideas) that will inspire anyone working on their portfolio. Read the article for complete details, the four tips are to 1) Make a “Rosetta Stone,” 2) Make a cheat sheet, 3) Write an article about software you dislike, and 4) Contribute to someone else’s project.

Contribute To Other Projects

One of the fastest ways to build and maintain skill is to contribute to open source projects. Have you not yet contributed to open source projects? This article, Beginner Friendly Data Science Projects Accepting Contributions, identifies specific projects that are beginner friendly.

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Data Science & Machine Learning

Making Fictional Data

Fictional data is handy for testing, training, and demonstration purposes.

K-Nearest Neighbors

Distance Measures

Automating Data Collection

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Career Advice

Big Career Mistakes (Big Ones)

This article is easily one of my most read articles. It explains a mistake I made (a communication error) early in my career. This is a mistake I’ve made many times. Writing this article helped me finally find an outlook that has helped me avoid repeating this mistake. In My Biggest Career Mistake, In Data Science I explore that mistake in detail, analyze it, and offer advice on how you can avoid similar mistakes.

Career Paths

In Seven Paths To Data Science I write composite stories from friends, family, colleagues, and associates. These are stories about how many have found their way into fulfilling data science careers.

LinkedIn

In a “poll” I asked where data professionals look for others they will know like and trust in the field. The leading answer was LinkedIn. This article discusses that poll and its results.

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Data Culture

Data Driven Culture?

Discussions about “data culture” are a favorite of mine. There are as many definitions for this word as there are individuals who take part in data communities. In What Is A Data Driven Culture Anyway I define this term and also discuss how to put it into practice.

What Is A Data Set?

This rudimentary question isn’t a simple question. Deciding for yourself and for your team what is a data set is an important step towards establishing and maintaining a data driven culture. This article discusses my definition of what a data set is, what it is not. Read this and then use it as a discussion guide for yourself in your work on establishing a data driven culture.

Columns, Variables, Dimensions . . .

After you exploring what is a data set (previous article) review this article to go below the surface. A data set column is sometimes also called a variable, or otherwise sometimes also a dimension. This article, A Closer Look AT Data Set Columns explores how and why these words often mean the same things, but sometimes not.

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Professional Writing Resources

Common Writing Mistakes

As the title explains, “Nobody is Perfect.” If you’re looking for living proof of this, find my records online. You’ll find mistake after mistake (so many mistakes). Nobody is Perfect: Words & Phrases Data Scientists Or Other Scientists Sometimes Misuse discusses words and phrases that many sometimes misuse in their writing.

Research Questions

Often, good writing starts with having asked and answered a meaningful question. In the article Asking Research Questions That Matter I provide guidance on selecting quality research questions.

The ProWritingAid.com Plunge

This article on ProWritingAid.com which contains affiliate marketing links, describes some of the reasons I adopted ProWritingAid.com to help me be a better writer.

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Personal Meets Professional

Coming Out

In the late 1990s I came out of the closet. In the last 22+ years since coming out I still look back at the lessons I learned on that occasion for guidance and wisdom. This article Quality of Life: Happy Anniversary originally appeared in magazine known as Our Lives.

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Thanks For Reading

If you like what I have to say, find more at: adamrossnelson.medium.com.

Thanks for reading. Send me your thoughts and ideas. You can write just to say hey. And if you really need to tell me how I got it wrong, I look forward to chatting soon. Twitter: @adamrossnelson | LinkedIn: Adam Ross Nelson| Facebook: Adam Ross Nelson.

I mentor new (💫) and aspiring data scientists enter (🚪) and level up (📈) in the field. I help data pros find work they love (❤️) and that loves them back.

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