Dedicated to helping others learn about various topics in the data realm. This project will allow everyone to work together, have fun, and learn from each other. Are you data-cated?
- Every Friday a new data-related topic will be posted on this site
- The goal is to research the topic and provide a summary (100-300 words) of your understanding/ perspective using the form below (by end of day Thursday
- All approved posts will be published on the Story by Data blog
- The person that provides the BEST summary will be announced on Friday and their post will be shared broadly across social media sites!
- The WINNER will also receive a prize (varies every week)
Want advice on how to create the BEST post? Click here for some post criteria.
*Please write your full name at the bottom of the post content.
|WEEK #||DATE||TOPIC||GIVEAWAY||WINNER NAME|
|1||1/4/2019||Qualities that make a great data scientist||The Data Scientist’s Journey. The Guide for Aspiring Data Scientists||Steven Barnard|
|2||1/11/2019||Provide an example of a business use case/ application for data science||DS4B 101-R: Business Analysis With R||Adeola Adesoba|
|3||1/18/2019||What are some limitations of deep learning models?||Deep Learning A-Z||Jennifer Cooper|
|4||1/25/2019||Discuss the importance of having a data strategy for a business||Data Strategy by Bernard Marr||Deepal D’Silva|
|5||2/1/2019||Provide an example of an application/business use case of Natural Language Processing (NLP)||Natural Language Processing (NLP) using Python||Bianca Aguglia|
Discuss the trade off between bias and variance|
B. Select and describe a machine learning algorithm
|The 100 Page Machine Learning Book by Andriy Burkov||Archit Shorey|
A. Discuss the need for standardization of data science roles and the discrepancy between the job descriptions and the true needs of the business
B. Describe some best practices or considerations in hiring data science teams
|Up-Level Your Data Science Resume||Jacob Jensen|
|8||2/22/2019||Write a short biography on someone that inspired you in the data science space||The Disruptors: Data Science Leaders: Collective Biographies of Influential Leaders: Vol I||Rangaprasad Sampath|
|9||3/1/2019||Select and describe a data mining technique||Data Mining For Dummies||Parth Parekh|
|10||3/8/2019||Polynomial Regression – Describe why you would use polynomial regression||End-to-end Machine Learning: Polynomial Regression||Nagaraj
|11||3/15/2019||Advice to aspiring data scientists||Annual membership to SuperDataScience Platform||Stuart Flint|
|12||3/22/2019||Data visualization best practices||The Big Book of Dashboards||Anshul Mittal|
|13||3/29/2019||Summarize article that discusses application of predictive analytics||Predictive Analytics book||Nagaraj S Murthy|
|14||4/5/2019||Describe a few applications/ use cases for computer vision||Grokking Deep Learning for Computer Vision||Charis
|15||4/12/2019||Explain blockchain technology to a non-technical audience||A Brief Description of Blockchain: Why It Matters in the Real World|| |
Balaram Krishna Tidhi