I’m excited that you’re interested in participating in our month-long Writers Contest!
Here you’ll find all the information you’ll need before you participate.
But don’t worry if you still need some help - I’m only a comment away. Comment below to ask me any questions you still have.
Get guaranteed eyeballs on your articles - We will share your articles with our own audience of 200,000+ data science enthusiasts. So you don’t need to worry about writing in the void.
Stand out in a competitive job market - Being able to write well is a superpower that can give you immense leverage in your career. Especially in 2021. You will be able to confidently tell your future employer that you are a “Data Evangelist”.
A chance to win a $250 gift card - The writer with the most popular article (measured by the number of views) will get a gift card worth 250 USD!
(The type of gift card we give will depend on the country where the winner lives.)
Here are 2 ways you can submit your article for review:
- Head over to Dataquest Direct and click “New Topic”. Then, write your article and hit the Submit button.
- Send me the draft over email on firstname.lastname@example.org. You may use Notion or Google Docs to write the draft.
I will then review your draft, give you feedback and reach out to you for next steps.
Note: All drafts submitted till (and including) the last day of the month will be eligible for the contest. We’ll announce the winner in the 3rd week of the following month. So, everyone will get plenty of time to share their articles with their network and collect views.
Note 2: There is no limit to the number of articles you can publish in the magazine, as long as you write something that’s useful.
These are a few guidelines that we expect you to follow when writing your articles. These guidelines are there to ensure a good experience for your readers:
The first one is obvious - you should only share articles that you have written yourself. Don’t plagiarise.
Add a cover image on the first line. Humans are visual creatures and adding beautiful, relevant images to your article makes it easier to read.
But beware of copyright infringement. Don’t add images from Google Search. Do not use images (including logos and gifs) you found online without explicit permission from the owner. Adding the source to an image doesn’t grant you the right to use it.
We only accept articles with a read time of 3 minutes or more. That’s about 800 words. If yours is less, dive deeper into the subject until you have more to speak about it.
Be mindful of spelling, grammar and punctuation errors. Having a wide vocabulary is not important but using correct grammar is.You need to be extra careful if you aren’t a native English speaker. Using tools like Grammarly can help.
Format all code using Markdown - no screenshots.
Don’t use clickbaity titles (like “You won’t believe what happens…”).
Provide details on how your readers can connect with you at the end. This will help you in building connections on LinkedIn, Twitter or Github through your article.
Excited to participate but not sure what to write about?
I want to help you!
Remember your primary audience will be the Dataquest community. So, it makes sense to know who is in this community.
It is a community of folks who are at various stages of building a data science career - from “just starting out with programming” to “looking for a data science job”.
We have various motivation for learning data skills - from “starting a career in the field” to “upskilling for my current job”.
Finally, we are a global community with members belonging to every continent of the world.
Write something to please this community. It’s not difficult - after all, you are a part of this community yourself!
Here are some ideas to stroke your imagination:
Write a tutorial that would have helped you one week/month/year ago. Tell us about all the lessons that you learned with difficulty.
Walk us through a cool personal project you did - tell us what inspired you, the difficulties you faced, show us some code snippets and share what you learnt.
Write better explanation for concepts that often trip learners. As a learner, you are in a favorable position that allows you to empathize with the problems of other learners like you. Write an article to solve that problem.
Found a useful topic, tool or library that we don’t cover in our courses? Write a “how-to” or a “getting started” guide for that.
Tell us your story. All of us are hungry for stories. Tell us about your learning journey, tell us about your motivation and tell us about your successes and failures.
If you’ve got a job in a data-related role, congrats! Tell us how you went about the job search process. Or tell us about your day-to-day work - show us what people in the field actually do (without disclosing any of your company secrets, duh).
Still struggling? Here are some specific suggestions that you may write about:
- SQL best practices
- SQL functions that readers might not know
- Advice or something that helps complete Python newbies
- Advice or something that helps complete R newbies
- Walkthrough of a cool Python library
- Walkthrough of a cool R library
- Walkthrough using a cool API that you found
- Walkthrough of a scraping a website to create a dataset
- Teach a machine learning technique/algorithm
- A stats concept that we don’t cover in our courses
- Suggest ideas for unguided personal projects
Remember, you do not need to write about these topics. You’re free to choose something else.
Whatever topic you choose, be sure to follow our submission guidelines.