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Self Driven Data Science — Issue #31
Here’s this weeks lineup of data-driven articles, stories, and resources delivered faithfully to your inbox for you to consume. Enjoy!
Visualizing the Uncertainty in Data
Data is a representation of real life. It’s an abstraction, and it’s impossible to encapsulate everything in a spreadsheet, which leads to uncertainty in the numbers. How well does a sample represent a full population? How likely is it that a dataset represents the truth? How much do you trust the numbers? This article lays out some visualization options for the uncertainties in your data, each with its pros, cons, and examples.
What is the Most Effective Way to Structure a Data Science Team?
This article follows the development of the Data and Analytics organization at Coursera from 2012 to 2017. Looking into experimenting with a variety of different team structures as the company grew in size and the business evolved, this article provides some valuable insights for you to move forward with.
Transitioning From Academia to Industry: Perspectives from Indeed’s Data Scientists
By enlisting the help of eleven Indeed Data Scientists and Product Scientists here at Indeed who left academia, this article is a great resource for anyone wavering between the two fields or considering making the switch.
Python Cheat Sheet for Data Science
Pandas, Numpy, and Scikit-Learn are among the most popular libraries for data science and analysis with Python. This cheat sheet summarizes some of the most common and useful functionality from these libraries.
Advice For Data Science Job Seekers
Over the past six months, there has been an explosion of advice and insight into data science from people at all levels: senior leaders, veteran data scientists, new data scientists and aspiring data scientists. This article brings together 10 great pieces of advice to follow in your data science job hunt.
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Thanks for reading and have a great day!
Self Driven Data Science — Issue #31 was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
Disclaimer
The views and opinions expressed in this article are solely those of the authors and do not reflect the views of Bitcoin Insider. Every investment and trading move involves risk - this is especially true for cryptocurrencies given their volatility. We strongly advise our readers to conduct their own research when making a decision.