With thebringing terms like data sets, modeling, and predictive analytics to the forefront, there's a spike in data science interest.
Simply put, we're all amateur epidemiologists with time on our hands. With that reality in mind, here's a look at some of the options to bolster your data science knowhow as we all pick through COVID-19 data sets and models. These courses had high ratings on various platforms. Some are free and others charge. In addition, data science players such as Google, IBM, and Microsoft have free offerings.
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A free IBM course on Coursera that walks you through the basics and frames future learnings. Coursera's reviews give the course 4.7 out of 5 stars.View Now at Coursera
This LinkedIn Learning course is designed to define data analytics and do basics such as cleaning data as well as joining data sets. The course is designed for both generalists and aspiring data scientists.View Now at LinkedIn Learning
A Johns Hopkins University course with an intro to data science and a look at career options as well as using R to clean, analyze and visualize data and using GitHub to manage projects.View Now at Coursera
Also: Data analytics: A guide for business leaders (free PDF) TechRepublic | Data scientists, your country needs you now | As COVID-19 data sets become more accessible, novel coronavirus pandemic may be most visualized ever
This category revolves around those of us that know just enough Tableau or Microsoft Power BI to be dangerous or largely consume data produced by a team of in-house data wonks.
This course is for those of us that are largely Tableau consumers but need to figure out calculated fields from time to time.View Now at LinkedIn Learning
If you want a career in data science, you need to know Python. The University of Michigan offers a course that walks through Python.View Now at Coursera
Also: Learn Python: Online training courses for beginning developers and coding experts | Python is eating the world: How one developer's side project became the hottest programming language on the planet (PDF)
This LinkedIn Learning course walks through techniques such as clustering, anomaly detection, and association analysis.View Now at LinkedIn Learning
This ZDNet Academy course covers a bevy of areas ranging from natural language processing to R to interview prep.View Now at ZDNet Academy
This course highlights the roles and tools needed to be a data engineer as well as preparing data for analytics and machine learning. Not surprisingly, these techniques use Google Cloud Platform infrastructure and platform services. The primary skills in the course revolve around TensorFlow and BigQuery.View Now at Coursera
This Johns Hopkins University course is highly rated and is primarily for folks in the field looking to move up. Skills include developing public data products, prediction functions and drawing conclusions from data.View Now at Coursera
This course helps data scientists understand relational data stores, which typically hold the transactional data needed to drive the business.View Now at LinkedIn Learning
This course, via National Research University Higher School of Economics in Russia, includes a bevy of instructors focused on competitive data science. These contests can develop your career and boost your exposure.View Now at LinkedIn Learning
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