Meet our Community Champions for this week!

congratulations to all

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Here are our Community Champions for this week: :tada:

Dataquest Project sharers:

  • @m.awon shared his project on Clean and Analyze the Employee Surveys that stands out for its perfect project stricture, comprehensive and easy-to-follow storytelling, digging deep into the data, thorough data cleaning and analysis, amazing final visualizations, and pretty-printed outputs.

  • @bender38 shared two great projects he made this week: Data Cleaning - Employee Exit Surveys and Star Wars survey. Both works are notable for meaningful charts (including those showing missing values) and multi-faceted data cleaning and analysis. What’s more, he worked on a valuable observation from @kwu and analyzed the difference between the biased and corrected data! :microscope::nerd_face:

  • @jasperquak shared his project on Building a Spam Filter with Naive Bayes where he demonstrated his curiosity about the data and attention to details by thoroughly describing each step he undertook to reach 99% of classification efficiency and outlining potential ways forward.

Project reviewer:

@biengioichantroi and our always-helpful Community Moderators reviewed the projects of other learners in the Community, gave them actionable feedback, and showed them their appreciation.

Useful resource sharer:

@Edelberth found an interesting article on Medium and shared it with the Community.


Thanks a lot, guys, for your enthusiasm and participation in our Community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champion badge in our Community :medal_sports:
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It’s hard to imagine that I could ever make it here. I’m certainly losing my words and don’t know what to say.

Joining Dataquest is truly a life-changing and humbling experience for me.

Thank you.

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same here! :+1:

A&E.

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That’s very nice to see! Also congratulations to the other champions!

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Here are our Community Champions for this week: :tada:

Dataquest Project sharers:

  • @fried.jd shared his project on Euro-USD Exchange Rate and the Effect of the Holiday Season where he used an eye-catching project title, explored an original and curious topic, created insightful storytelling through visualizations, and drew interesting conclusions.

  • @PatrickSmith reworked and enhanced his initial project on Analyzing Helicopter Prison Escapes that demonstrates a meaningful title, perfect structure, smooth explanation of the observations, efficient emphasis throughout the project, and informative conclusion.

  • @brucemcminn posted his well-organized Rapid Sales Report for the first Power BI guided project that clearly shows key metrics of sales and profit in tabular and visual form by category, segment, and country worldwide.

Project reviewers:

This week, we have a real boom of helpful project reviewers! :heart: @jesmaxavier, @Johnsonk51502, @sergibtrader, @bender38, @vishallbabu5, @brucemcminn, @biengioichantroi, and, of course, our amazing Community Moderators - you guys did a great job giving precious feedback and the words of encouragement on your peers’ projects! :heart_eyes:

Useful resource sharer:

@Edelberth shared the links on the resource for efficiently combining many documentation pages into one interface.


Thanks a lot, guys, for your enthusiasm and participation in our Community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champion badge in our Community :medal_sports:
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Wow- I’m floored! Thanks for the recognition!

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Greetings to everyone who is still in the datathon :running_man: :running_woman: :running_man:

A&E + HC

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Here are our Community Champions for this week: :tada:

Dataquest Project sharers:

Project reviewers:

@Johnsonk51502, @sergibtrader, @kevindarley2024, and @samas, together with our Community Moderators, were super-helpful to the Community this week reviewing other students’ projects and providing them precious feedback and encouragement.


Thanks a lot, guys, for your enthusiasm and participation in our Community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champion badge in our Community :medal_sports:
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Thanks Elena! I feel like I’m on a streak :).

Does this mean I get two weeks of DQ premium? (kidding). Happy to be recognized, that one took some work!

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Hi Kevin, unfortunately, we still give only one week to double-champions , but please continue doing both things: sharing amazing and thoughtful projects and giving valuable feedback to your peers! :grinning: :trophy:

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how does one become a learning assistant by the way?

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@OlutokiJohn,

You can find the criteria for becoming a Learning Assistant, as well as the rewards for each tier, here. Note that you can choose between answering questions of other students OR reviewing their projects for getting each tier. It’s actually possible to mix these 2 things. For example, to get the Tier-1, you can answer 3 questions and then, to get the Tier-2, review 7 projects.

Alright I’d get to work
Thank you

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Thanks so much Elena! Wow, this is so motivating! I definitely feel more traction with the award and I’m really grateful to all the insights everyone has provided to help me build this project up. DQ has really been an amazing platform. With gratitude. :pray:t3:

@kevindarley2024
@Elena_Kosourova
@Sahil
@Rucha

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Here are our Community Champions for this week: :tada:

Individual Project sharers:

  • @sahiba.kaur.stats shared her personal project on Tableau Storytelling where she created insightful visualizations of how women are represented in newspaper and journal headlines. The project is extremely informative and lets you discover how the frequency of words associated with women changed over time in 4 different countries.

  • @okanrnt1 shared his personal project on Correlations Between The Metrics of The Best Startups, in which he demonstrated his genuine curiosity about the data, analyzed the data from many angles, created advanced plots such as pair grid and heatmap, and drew interesting conclusions.

Dataquest Project sharers:

  • @troodpa revisited his project on Top 3 Recommendations for App Development based on his new skills, analyzed over 1 million apps from Google Play and Apple store, gave recommendations on app development powered by outstanding visualizations and involving narrative, and suggested potential steps forward.

  • @jasperquak shared his project on Winning Jeopardy where he proposed some strategies to prepare for the Jeopardy contest by conducting a detailed analysis of over 200 000 questions and answers of the previous games and using efficient statistical techniques.

  • @abomayesan showed off their project on DSSE data science questions, which is noticeable for its eye-catching title, brief but precise storytelling, great visualizations, and curious conclusions.

  • In their project on Prison Break, @kchitty23 dug deeper into the data and went beyond the provided instructions finding answers to all the additional questions.

Project reviewers:

@OlutokiJohn, together with our Community Moderators, looked through other learners’ projects and provided them helpful feedback and the words of encouragement.

Useful resource sharer:

@vikram.prabhu shared useful case studies on accelerated data migration.


Thanks a lot, guys, for your enthusiasm and participation in our Community! :heavy_heart_exclamation:

I am proud to reward you with:

  • A 7 day extension on your current Dataquest subscription :rocket:
  • An exclusive Community Champion badge in our Community :medal_sports:
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Thanks a lot @Elena_Kosourova for the recognition. Feels awesome to be back in the community!

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Welcome back, Sahiba, and congratulations! :partying_face: :balloon:

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Thank you @Elena_Kosourova , i really appreciate the kind gesture

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Thanks a lot for the recognition and reward! Very nice!

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