About sharing badges on LinkedIn: we don’t have such functionality at this time, but your idea sounds very interesting, so I submitted it as feedback to our team. In the future, if you have any other feedback on what can be implemented in the Community or the learning platform itself, I encourage you to send your suggestions using this link.
Of course, all the other learners are very welcome to share their ideas of potential improvements using the above link as well!
@jasperquak shared his project on Finding the best markets to advertise in where he demonstrated his great ability to deal with data issues by doing a thorough analysis, asking meaningful questions, and providing smooth and informative explanations.
Project reviewer:
@jesmaxavier, together with our amazing Community Moderators, was extremely helpful this week looking through his peers’ projects and giving them detailed, actionable feedback.
Great question asker:
@mr.sha3ban returned to the Community with new cool and tricky questions on Python. Check them here and here.
@bender38 revised his project on EUR-USD exchange rates and improved it by applying the skills he learned in the Data Visualization course obtaining informative plots.
@sharra.valdepenas shared her first project on Prison Breaks that demonstrates her curiosity about data science, digging deep into the data, and profound reasoning about the asked questions.
@alvaro.viudez shared his project on Winning Jeopardy which is noticeable for its excellent documentation, efficient communication of findings, and compact conclusion.
Project reviewer:
@jesmaxavier, together with our Community Moderators, continues being super-helpful to the Community reviewing plenty of projects shared by other students and providing them valuable suggestions and encouragement.
Useful resource sharer:
@Johnsonk51502 shared a comprehensive guide on time series analysis which he found while working on his own individual project on this subject. Looking forward to seeing also your project in the Community, Kevin!
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
A 7 day extension on your current Dataquest subscription
An exclusive Community Champion badge in our Community
@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!
@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!
I am proud to reward you with:
A 7 day extension on your current Dataquest subscription
An exclusive Community Champion badge in our Community
@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.
@kevindarley2024 shared his project on Predicting Bike Rentals where he demonstrated a curious mindset and sharp critical thinking by testing three models and predictive metrics, creating various insightful plots, providing thorough and precise explanations, and drawing informative conclusions.
@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!
I am proud to reward you with:
A 7 day extension on your current Dataquest subscription
An exclusive Community Champion badge in our Community
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!
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.
thank you very very much Elena .
