Meet our Community Champions for this week!

Thanks Elena for this special recognition, to the rest of the champions , congratulations :clap: , let’s continue building DataQuest community.

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Wow! Thank you @Elena_Kosourova congrats to the other community champions as well as the rest of the DQ community who’ve been helpful and supportive. I hope to offer the same to all of you along the way as well. This made my day and is inspiring me to keep pushing through this process. I look forward to working with as many of you as possible. Have a great week out there!

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Thank you @Elena_Kosourova for this good news. Congratulations to other community champions as well.

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I am happy to be a part of this great community!! Learning and improving all the way. Thanks guys🚀

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

Individual Project sharer:

@jacqisbackyessheis was inspired by the dataset in the Working with Dates and Times in Python course and conducted an individual project on Exploring 2021 White House Visitor Logs based on this dataset and the fresher data she gathered. The project demonstrates a keen interest in the data, profound data analysis, and very curious findings. Great job, Jacqueline!

Guided Project sharers:

  • @shubhkirti.prasad shared a perfectly-structured and styled project on Investigating Fandango Movie Ratings with easy-to-read well-commented code, an elegant way to introduce the goal and adjust it later, digging deeper into the data after a critical look at the intermediate results, and interesting observations and the final conclusion.

  • @jesmaxavier shared another amazing work, this time on Analysing Traffic Indicators on the I-94, which stands out for its eye-catching title and subheadings, perfect structure and navigation scheme, clear and well-commented code, insightful visualizations, efficient emphasis of the most important points, meaningful output of the code cells, and doing much more than recommended in the instructions.

  • Another fantastic project from @israelogunmola, on Exploring Hacker News Posts, demonstrates an excellent structure, informative storytelling, amazing plots, efficient emphasis throughout the project, exploring the data much further including whether or not comments and points correlate, giving recommendations for posting strategy and an interesting suggestion for the way forward.

Guided Project reviewers:

@brayanopiyo18, @jesmaxavier, and @jithins123 were super-helpful to the Community giving constructive feedback and encouragement to other students on their guided projects.

Useful resource sharer:

@jesmaxavier published a post where he shared a detailed and comprehensive SQL style guide illustrating good and bad practices when writing an SQL code.


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_Kosourova , congratulations to all the champions.

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Thank you, Elena! And happy Galentine’s Day

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Thank you Elena for this good news. Congratulations to all other champions.

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Thanks Elena for this amazing news! Its so good to be back!

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Thanks a lot Elena. It is indeed amazing to be here🙌

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Thanks @Elena_Kosourova! The acknowledgement is sincerely appreciated.

Congrats to all the other winners!! You guys are doing a great job!

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

Individual Project sharer:

@jacqisbackyessheis made another cool individual project on Educational Apps on the Google Play Store and Apple App Store where she analyzed the available data in-depth and from all angles, created many amazing and insightful visualizations of various types, and came up with a very curious conclusion and recommendations.

Guided Project sharers:

  • @noah.gampe shared an awesome project on Building a Handwritten Digits Classifier that stands out for its easy-to-follow storytelling, exploring various machine learning algorithms, discussing pros and cons of each method, final visual comparison of the accuracy of all the approaches, digging deeper into multi-layer perceptron weights, and suggesting further steps.

  • @jesmaxavier reworked his project on Analyzing used car sales on E-bay Germany where he demonstrated once again his genuine curiosity and dug deeper into the data, added an eye-catching project title and subheadings, efficient navigation scheme, super-informative function documentation, created helpful plots, and made interesting observations and conclusion.

  • @analuizallmp posted her project on Clean and Analyze Employee Exit Survey where she explored the data by many categories and their combinations and visualized the results, gave a link on interesting research on the effects of low job satisfaction, and provided useful function documentation.

  • @alex.mazza.daily shared his first but already great project on Exploring eBay Car Sales where he conducted a very profound data cleaning and analysis, created plenty of helpful and insightful visualizations, and outlined the way forward.

Guided Project reviewers:

@artur.sannikov96, @jesmaxavier, @jithins123, and @brayanopiyo18 were extremely helpful to the Community reviewing their peers’ projects and giving them valuable feedback.

Useful resource sharer:

@Edelberth shared with the Community a useful resume builder.


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 for the recognitions @Elena_Kosourova!

And congratulations all champions:) You are making this Community better!

Happy coding :smile:

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Thanks Elena for the recognition.
Congratulations :confetti_ball: :clap: :bouquet: :partying_face: to all the champions. Let’s continue making DQ community a better place to stay.

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That’s how I feel :dizzy:.

Thank you all. :100: it’s a very good place.

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Hey! This is awesome! :smiley: I never thought I’d get one of these, haha! I’m so amazed at this community and how much I’ve been able to learn from others. I hope my project is able to help others! I spent a long time working on it with the idea of “how would I want to read and visualize this if I had no idea what it was about?”.

Anyway, thanks again! :grin:

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@Elena_Kosourova, thank you for the consideration. Congrats :handshake: to the project contributors and reviewers. You guys are doing a great job in the community.

Also, a round of applause :clap: to our Community Moderator. Great job :trophy: reviewing all this.

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Thank you @Elena_Kosourova for this good news. Congratulations to the fellow champions too. Great work everyone.

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

Individual Project sharer:

@evelin.kanda made an individual project on scraping the list of courses of the Dataquest Data Scientist path (adaptable also for the other Dataquest career paths) to track her current study progress at once. This is a super-creative and helpful approach to studying and applying the learned concepts in practice, Evelin!

Guided Project sharers:

  • @israelogunmola shared a well-detailed and highly-informative project on Exploring eBay Car Sales Data that stands out for its profound data analysis, perfect structure, smooth explanations, excellent visualizations, efficient output format, interesting conclusion and recommendations, and prompting possible way forward. Also, Israel implemented some suggestions from the previous reviews on his projects! :heart_eyes:

  • @noah.gampe shared an amazing perfectly-structured project on Creating A Kaggle Workflow that demonstrates cool storytelling, insightful visualizations, easy-to-read and well-commented code, digging very deep into the data (great job on family member analysis, dealing with collinearity, and trying different modules! :+1:), discussing pros and cons of various approaches, and suggesting further steps.

  • @jweekes13 shared a well-structured project on Finding Heavy Traffic Indicators on the I-94 with very straight-to-the-point explanations, precise and descriptive title, clearly stated project goal, eye-catching plots, and easy-to-follow and well-commented code.

Guided Project reviewers:

@jesmaxavier, @artur.sannikov96, @brayanopiyo18, @evelin.kanda, and @jithins123 did an awesome job reviewing other learners’ projects and giving them helpful suggestions.


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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Thank you @Elena_Kosourova ! I really appreciate it!

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