Название: Writing for Data Scientists: How to build a career writing about Data Science and Machine LearningАвтор: Derrick Mwiti
Издательство: Leanpub
Год: 2022
Страниц: 112
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB
Build a career while doing technical wriitng.
I earned $300 for my first paid Data Science and Machine Learning article. I get paid between $250 and $500 for each Data Science article I write. In this ebook, I'll show you how you too, can earn while writing about Data Science and Machine Learning.
You have been learning about Data Science and Machine Learning
You want to start writing to build a personal brand in Data Science
You have or are yet to put out at least one piece of content
You have no idea where to start
You don't know which topics to write about
You are wondering which publications you should submit your work to
Apart from building a brand, you also want to be paid to write
You want to create Data Science and Machine Learning content as a freelancer, contractor, or in a full-time role
Maybe you are already blogging about Data Science but wondering where and how to get paid jobs
Or how to monetize your Data Science and Machine Learning content
If you identify with any of the above, keep reading?
There are infinite levels of understanding and comprehension of data science and machine learning concepts. When we try to explain a particular concept concisely and clearly, we start to go through levels of our understanding and ask ourselves questions we never thought of before.
By performing this practice, we may discover that we do not grasp something that appeared to be quite apparent to us. The feedback mirrors how well you perceive what you write or post about. It becomes an iterative process where I strive to achieve simplicity and comprehension simultaneously. No wonder they say that simplicity is the ultimate sophistication. The same can be said about writing an article, blog, paper, or essay. When you write, you are fostering and cultivating your intellectual endeavors because the process of writing is one of the essential components to excel. Putting your scientific thoughts or ideas into words or expressing your data science research endeavors helps to refine and structure your thinking.
What You'll Get
You will get an ebook that shows you how to move from writing free Data Science articles to getting paid up to $500 per article. The ebook covers everything you need to know about writing in the Data Science and Machine Learning space from my 5+ years of experience.
This book is for you if:
• You have already learned some bit of Data Science and Machine Learning.
• You want to start writing about Data Science and Machine Learning.
• You want to get freelance or full-time jobs writing about Data Science and Machine Learning.
• You have little or no experience writing about Data Science and Machine Learning.
This book is not for you if:
• You are unfamiliar with Data Science and Machine Learning. Those skills are assumed.
• You have already been writing about Data Science and Machine Learning for a while.
• You are unwilling to take the time to write and improve your writing skills.
If this book is for you, keep reading.
Topics:
- How to write about Data Science: We'll start with why you should consider writing. When you know how writing about data science and machine learning can change your life, you will be more motivated to dive in. Next, I'll show you how to write about data science and machine learning. What should you write about? You must create more writing samples to keep growing and getting more jobs. I'll show you ways of generating and validating data science article ideas.
- ️How to deal with rejection when you start writing: You will get some rejections when looking for Data Science writing jobs. How do you get past them until you get a job that pays? In this chapter, I explore some strategies that have worked for me.
- How to make a full-time income writing about data science: Can you make a full-time income writing about data science and machine learning? In this chapter, we do some math to see how to make it possible. I'll also show you how to monetize your data science content apart from being paid to write.
- SEO for data science writers: Getting your data science and machine learning articles seen is crucial. Understand the techniques I have used to get my articles on the first page of Google.
- Where to find writing jobs: Where are the machine learning and data science writing jobs? In this chapter, I share strategies that have helped me get a consistent flow of data science writing work. Understand how you can leverage your data science articles to get full-time roles such as developer advocate or developer relations.
- Promoting your work: You can't only rely on SEO to promote your Data Science articles. in this chapter, I share the techniques and channels I use to share my Data Science and Machine Learning blog posts.
- Writing templates: In this section, I share templates that have worked for me, including Upwork sample proposals, LinkedIn notes and messages, and email templates. I also walk through real examples of writing a Data Science topic, from getting a topic, researching, creating the code, writing the outline, and drafting the article
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