Why you can trust ZDNet
Our recommendations are based on many hours of testing, research, and comparison shopping. We may earn a commission when you purchase a product through our links. This helps support our work but does not influence what we write about or the price you pay. Our editors thoroughly review and fact check every article. Our process

‘ZDNet Recommends’: What exactly does that mean?

ZDNet’s recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing.

When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNet nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNet's editorial team writes on behalf of you, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form.

Close

Data science interest spikes with COVID-19: Here are the online courses to get you started

We're all amateur epidemiologists and data scientists with time on our hands. Here's a look at some of the options to bolster your data science knowhow.

latest developments

Coronavirus: Business and technology in a pandemic Coronavirus: Business and technology in a pandemic From cancelled conferences to disrupted supply chains, not a corner of the global economy is immune to the spread of COVID-19.

With the COVID-19 pandemic bringing 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. 

Disclosure: ZDNet may earn an affiliate commission from some of the products featured on this page. ZDNet and the author were not compensated for this independent review.

General knowledge

What is Data Science?

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.

Learning Data Analytics

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.

Data Science Specialization

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.

Intermediate

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.

Tableau 10 Essential Training

This course is for those of us that are largely Tableau consumers but need to figure out calculated fields from time to time.

Applied Data Science with Python

If you want a career in data science, you need to know Python. The University of Michigan offers a course that walks through Python

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)

Data science foundations: Data mining

This LinkedIn Learning course walks through techniques such as clustering, anomaly detection, and association analysis.

The Complete Data Science A to Z Bundle

This ZDNet Academy course covers a bevy of areas ranging from natural language processing to R to interview prep.

Data Engineering with Google Cloud Professional Certificate

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.

Advanced

Data Science: Statistics and Machine Learning Specialization

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.

Advanced SQL for Data Scientists

This course helps data scientists understand relational data stores, which typically hold the transactional data needed to drive the business.

How to Win a Data Science Competition

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.

ZDNET'S MONDAY MORNING OPENER:

The Monday Morning Opener is our opening salvo for the week in tech. Since we run a global site, this editorial publishes on Monday at 8am AEST in Sydney, Australia, which is 6pm Eastern Time on Sunday in the US. It is written by a member of ZDNet's global editorial board, which is comprised of our lead editors across Asia, Australia, Europe, and North America.

Show Comments