ZDNet: Data science vs social media disinformation: the case of climate change and the Australian bushfires . “Today, [World Weather Attribution] just released an analysis on the recent Australian bushfires, and ZDNet connected with WWA to learn more about it. At the same time, another analysis by the Brown university verifies what previous studies suggested: climate disinformation on social media abounds. The battle between bots and (data) science is raging.”
Medium: How Much Data Is Too Much Data? — Federating Data in the Age of Connectivity. “It is projected that every day humans produce approximately 2.5 quintillion bytes of data. With this insane amount of new data, surely some of it must be redundant, right? For data science, analytics, and machine learning, this increase in the amount of data available leads to previously unthinkable new avenues for research. But while more and more data is being harvested for a variety of reasons, could better curation of the data we have already collected lead to better outcomes for research?”
Route Fifty: The Human Cost of Missing Data in Prisons. “Across the country, the nation’s prisons and jails face major challenges—including understaffing, outdated facilities and insufficient medical care—that can foster violence that jeopardizes both inmates and staff. Many states are trying to tackle these problems, but they face a basic impediment: A lack of data that leaves decision-makers stymied in reaching good policy decisions.”
ODSC: Top MOOCs for Data Science in 2020. “Last year I wrote an article on this topic and I wanted to update it for the new year—2020. As I teach introductory data science courses at UCLA, I embrace new learning resources with eyes wide open. I’m always looking for quality education options to recommend to my students after they run through my process. All the previous reported resources are still very good choices. In this article, I wanted to throw a number of additional MOOC (massive open online courses) resources on the table, and also provide a short-list of top-shelf online data science master degree options.” Not much annotation, but a good jumping-off point.
Analytics India: 10 Datasets For Data Cleaning Practice For Beginners. “In order to create quality data analytics solutions, it is very crucial to wrangle the data. The process includes identifying and removing inaccurate and irrelevant data, dealing with the missing data, removing the duplicate data, etc. Thus, eliminating the major inconsistencies and making the data more efficient to work with. In this article, we list down 10 datasets for beginners, which can be used for data cleaning practice or data preprocessing.”
Towards Data Science: How to start a Data Science Project using Google Cloud Platform. “GCP (Google Cloud Platform) is a cloud computing service offered by Google. For those of you that are not familiar with cloud service, it is basically using a network to connect to a remote machine that you rent, making computations on that machine and send back the result. It’s just like car renting.” Not for beginners.
Open Data Science: 7 Top Data Science Trends in 2020 to Be Excited About. “As a practicing data scientist, educator, and tech journalist, I automatically have three big motivations for keeping a constant pulse of the industry. Staying in tune with what’s happening, consuming all the news from the movers and shakers, and evaluating new and updated tools as they arrive, I can simultaneously fuel my ability to service my clients, teach my students, and also have fresh content to communicate with my readers. In this article, I’m happy to layout the data science trends I’m seeing in the near term, namely 2020, in terms of important trends in data science, machine learning, and AI. I’m impressed by what I’m seeing, and I’m looking forward to being down in the trenches with data science in 2020!”