Project Showcase (archived)

Thank you to everyone who submitted projects!

Your hard work was apparent in all of the projects submitted, and we hope that this project gave you an opportunity to stretch your skills and apply your course learnings! Below you can review all submitted projects, ordered alphabetically by title.

Thank you to all the groups who submitted projects; we received 140 submissions, which exceeded our expectations!

Many of the projects demonstrated an impressive range of skills and theories from the challenge course, some going beyond the basics to incorporate more advanced data concepts, and we loved how creative groups got with finding data sets to work with!

Projects ranged from social impact to economics, from media to consumer habits, and from public health to fun subjects, and there were stand-outs in every category. Below, see some of the projects that stood out to Dan and Kathleen. These all presented data in an interesting and engaging way, addressed a key issue or question, and were communicated clearly.

Now, it's your turn!

We want to give you all a chance to review these projects, and vote on which ones you think present their data in an interesting and engaging way, address a key issue or question, and communicate their conclusions clearly.

COMPLETE THIS SURVEY BY END OF DAY ON TUESDAY, JULY 31

Project 1: A Roadmap of Data Science Beginnings by Simon Diep, Melissa Knie
Project 2: Forum Statistics Analysis by Barbara Stempien, Heba Qasim ALKafri, Angela Heumann
Project 3: Haribo by Melanie Stütz, Xueliu Chen, Malgorzata Bielecka, Joyce Kors
Project 4: Nigeria's Economic Growth vs crude oil prices and population by Olusetire Olubusayo Elizabeth (@Lizzyblash) Michael Ojemoron (@MikeGreat) Openiyi Tosin Temitope (@openiyi tosin) Chinenye Onyena (@chinenyeonyena) Augustine Demola Elegbeku (@Demola)
Project 5: Fuel Scarcity and the Cost of Transportation in Nigeria by Linson Igoche Abah, Openiyi Tosin Temitope, Adeyemi Tedunjaye, Agboola Yetunde Abimbola
Project 6: Temperatures in Svalbard Islands by Marco Bianchi
Project 7: Predicting forest fires by Sanskriti Bajaj, Gabriela Urquieta, Lisa Weiss, Marwa Allam, Sameeksha Mahajan
Project 8: Climate Change and Biodiversity by @Maria Jose Molina, @Anastassiya Yegarmina, @Shantan reddy, @Natalia, @Milton Mealla
Project 9: Titanic: Machine Learning from disaster by Natalia Lazareva, Rosa dos Santos, Olga Chervinskaia
Project 10: World Income and Malnutrition by Igoche Linson Abah, Medon Salau, Ibrahim Olayiwola
Project 11: Udacity Machine learning for aiding the diagnostic of pathology on the vertebral column by Cheung Yin Ping Irene
Project 12: Public health system in Brazil by Livia Maria Silva Moura (@L.Moura), Leopoldo Nunes(@Leopoldo Nunes), Juliana Santana Lara (@Juliana Lara), Bruna de Bernardi Balboni (@brunabalboni)
Project 13: Classification of Genetic Risk for Pediatric Acute Myeloid Leukemia by Mahmoud Hamza, Minerva Panda, María Úrsula Pérez Ramírez, Hirza Pimentel, Marwa Qabeel
Project 14: Education among refugee children by Isra Khan / Neamah Obaido / Nadine Ayad /Tarek Abdel Rahman

We are looking for students to analyze and present data that addresses an interesting issue impacting their communities or the world. These topics can cover social issues, small/local business, the economy, healthcare, the environment, etc.

We are asking students to submit a slideshow that shares findings and recommendations. Projects should be relevant to course concepts covered- they can go beyond what’s covered in the challenge course, but should be data-related.

BONUS: If you’re on social media, please share your work/progress with the world using the hashtags #udacitydatascholars #poweredbybertelsmann

Project Expectations

What Should My Project Include?

All groups should submit no more than 6 slides outlining the following:

What question is your data answering?
What was your group’s hypothesis?
What was your processes for evaluating the data?
Include at least 1 visualization that illustrates your findings
Include a conclusion that outlines your findings

In total, your group should submit no more than 6 slides. All presentations must be created using Google Slides. We have created a sample template that you may use; this template is not required, so please feel free to use your own if you prefer!

Who Can Participate?

Anyone can participate as long as they’re making progress in their course. We recommend working with a group, but if it’s difficult for you to connect with others, you can submit an independent project too.
Students will need to have completed at least 80% of their coursework by the final deadline for their project to be considered. We do not want this to distract you from finishing the course, which is your #1 priority! For groups, all members will need to have completed 80% or more.

How can I find a group to work with?

If you're interested in collaborating with a group, please use the redesigned Group Projects Spreadsheet to find a group or start a new one. Thank you to @Riyokosan, @Rosaria, @Amar, and @ioedeveloper for creating this!

Will Udacity or Bertelsmann give us data to use?

No, but there is a plethora of accessible data out there for you to use! Many state agencies make disaggregated data publicly available, as do some nonprofits and companies. You are also welcome to use data that you have collected from polls throughout the course, but be sure you have consent to use any personally identifiable information.
If you are looking for support or tools to help you start your project, remember to look through the resources database to see if you can find what you need.

What Do I Get For Participating?

Kathleen and Dan will review submissions and pick ~10 projects that present data in a new, unique, and easily understandable way, and that answer an interesting question.
We will share these finalists with the entire community, so you all have the chance to “vote” on your favorites. The projects with the most votes will be highlighted on the front page of the website.
Your prize?? Some serious bragging rights, not to mention a killer project that you can highlight on your website or portfolio!

Academic Honesty

Like any educational institution, Udacity takes academic honesty very seriously. Since your projects may be presented to Bertelsmann, we expect all students’ projects to include a slide that outlines external tools and resources used to complete the project. You do not need to cite anything provided to you in your classroom, but if you use one of the external resources referenced in the classroom, you do need to cite this. Your works cited slide should include the name of the resource, the author (if given), the date you accessed it, and the URL.

How to Submit Your Projects

Fill out this form by July 22 at 11:59pm (23:59) UTC.

Only one member per group should submit this form. You will be asked to share the names of your group mates, a link to your presentation, and confirm that everyone in your group has completed at least 80% of the challenge course.

By submitting your project through this form, you are consenting to your group's slides being shared with Udacity and, if selected, with other students in the challenge course and Bertelsmann employees. If you do not wish for your work to be shared, please do not submit your project through this form!

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