Thanks Elena! I’ve learned so much thanks to DataQuest!
I don’t know if anyone’s found a good way to show off their badge on LinkedIn, but I’ve put it as one of my achievements there. Feel free to connect! https://www.linkedin.com/in/kdarley
Thanks Elena! I’ve learned so much thanks to DataQuest!
I don’t know if anyone’s found a good way to show off their badge on LinkedIn, but I’ve put it as one of my achievements there. Feel free to connect! https://www.linkedin.com/in/kdarley
Hi.
Is it possible to show badges on Linkedin??
Thx.
@kevindarley2024 , @Edelberth ,
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!
Wow! Thanks a lot, Elena!
Here are the Community Champions for this week:
@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.
@jesmaxavier, together with our amazing Community Moderators, was extremely helpful this week looking through his peers’ projects and giving them detailed, actionable feedback.
@mr.sha3ban returned to the Community with new cool and tricky questions on Python. Check them here and here.
@Edelberth and @ehall shared plenty of useful resources in the Community: [1], [2], [3], [4], and [5].
Thanks a lot, guys, for your enthusiasm and participation in our Community!
I am proud to reward you with:
Thank you - much appreciated!
Here are our numerous Community Champions for this week:
@israelogunmola shared his personal project on Gapminder Data Analysis: Continental Variations in Human Development in which he explored demographics across different continents. The project stands out for its thorough data cleaning, accurate data analysis, awesome visualizations, and curious conclusions.
@oleksii.sydorchuk was inspired by a video of Vik on creating book recommendation systems, made his own project on Building a book recommender system using collaborative filtering, and enhanced it by introducing a few tweaks. Moreover, he is planning to further improve his work by applying machine learning algorithms!
@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.
@brucemcminn shared his well-structured and easy-to-follow project on Empire is the Favorite & Wealthy Educated Americans Watch Star Wars Movies that stands out for its insightful plots and interesting color schemes.
@alvaro.viudez shared his project on Winning Jeopardy which is noticeable for its excellent documentation, efficient communication of findings, and compact conclusion.
@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.
@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:
congratulations to all
Here are our Community Champions for this week:
@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.
@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.
@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:
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.
same here!
A&E.
That’s very nice to see! Also congratulations to the other champions!
Here are our Community Champions for this week:
@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.
This week, we have a real boom of helpful project reviewers! @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!
@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!
I am proud to reward you with:
Wow- I’m floored! Thanks for the recognition!
Greetings to everyone who is still in the datathon
A&E + HC
Here are our Community Champions for this week:
@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.
The project of @kylemoorman1 on Euro_USD Exchange Rates Visualization over Major Economic Events stands out for its interesting idea to investigate, meaningful title, appealing visualizations, and curious observations.
@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:
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!
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!