What Is The Difference Between A Data Engineer And A Data ScientistSeattleDataGuyBlockedUnblockFollowFollowingFeb 17By Ben RogojanWe recently did an AMA on…
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Data Science for Decision Makers
What will the next 5 years look like?I believe we are going to see more of the same trends. Data science…
Continue ReadingThe Analytics Engineer – new role in the data team
By Michael Kaminsky, Data Strategist. Original. Reposted with permission. The landscape of the data and analytics world is shifting rapidly.…
Continue Reading6 Ways the Agricultural Industry Is Benefiting From Data Scientists
6 Ways the Agricultural Industry Is Benefiting From Data ScientistsKaylaMatthewsBlockedUnblockFollowFollowingFeb 11Data scientists are part of virtually every major industry, and…
Continue ReadingWhat are the Skills Needed to Become a Data Scientist in 2019?
The domain is still strongly dominated by men (69%), who can hold a conversation in at least two languages (not…
Continue ReadingArticle | “The AI/ML Opportunity Landscape in Healthcare. Do It Right or It Will be More of a Mine Field”
Source: Data Science Central | January 14, 2019 Author: William Vorhies Summary: Despite hundreds of projects and thousands of data…
Continue ReadingData Scientist Is Still a Hot Job and Pays Well Too
According to Burtch Works, a recruiting agency, data scientists typically have some fluency in one or more programming languages used…
Continue ReadingDigging on deep data: a real-world global treasure hunt
Digging on deep data: a real-world global treasure huntDigging on deep data: a real-world global treasure huntYhana LucasBlockedUnblockFollowFollowingJan 31Can data scientists make…
Continue ReadingWhy every Data Scientist should know SQL
But apparently that is exactly what a lot of data scientists actually do. They “order” all of the items in…
Continue ReadingHow the Government Shutdown is Affecting Data Science
In the fourth week of the longest shutdown in US history, the impact of suspended services is hitting more than…
Continue ReadingMachine Learning — Perfection always starts with mistakes
And as we grow as Data Scientists we will build on this experience and be able to avoid them or…
Continue ReadingThe Simple Yet Practical Data Cleaning Codes
The Simple Yet Practical Data Cleaning CodesTo solve the common scenarios of messy dataAdmond LeeBlockedUnblockFollowFollowingJan 11In one of my articles — My First Data…
Continue ReadingGatekeeping and Elitism in Data Science
Gatekeeping and Elitism in Data ScienceDrew WilimitisBlockedUnblockFollowFollowingJan 10Photo by Court Prather on UnsplashIf I’m being honest, I often feel like I need…
Continue ReadingGender Pay Gap among Data Scientists on Kaggle
Gender Pay Gap among Data Scientists on KaggleIs the gender pay gap the same in the US and India?Florian LindstaedtBlockedUnblockFollowFollowingJan 4Data Scientist…
Continue Reading6 Steps to Create Value from Machine Learning for Your Business
Creation of data fabric, an ecosystem that would provide seamless well-governed data integration across the enterprise, is one of the…
Continue ReadingDoing Data the Right Way
One of my main resources is the Data Science Ethics course on Coursera by Professor Jagadish at the University of…
Continue ReadingUnderstanding Data Security and Access Control
Another way data scientists can safeguard their customer or business data is to keep the data inside the database rather…
Continue ReadingThe Data Scientist Shortage is Huge. Here’s How to Beat It.
What they need is (1) a strategic roadmap toward building data science skills and (2) an effective hiring and resourcing…
Continue ReadingData Science Trends in 2019
Data Analytics Trends for 2019 Gartner has predicted that automated or semi-automated tools will deliver more analytics than human data…
Continue ReadingData Scientists: Grow your expertise with these 5 out-of-field reads
It does not scan its surroundings or look for prey.Lessons Learned: This book gave a lot of insight into how…
Continue ReadingLaunching and Scaling Data Science Teams: Business Stakeholder Playbook
One stakeholder to their DS team: “Don’t come up with a recommendation that I don’t understand and don’t agree with.”…
Continue ReadingLaunching and Scaling Data Science Teams: DS Individual Contributor Playbook
If you can’t translate them, you can’t succeed in the field.” A constant challenge between data scientists and business stakeholders…
Continue ReadingLaunching and Scaling Data Science Teams: Project Summary
I used these conversations to write three best practices guide for launching and scaling data science teams and careers: one…
Continue ReadingData Science Trends for 2019
If you don’t have them in your team, you’re probably just playing data science in Jupyter notebooks..And companies are realizing…
Continue ReadingData Scientist — Is it the sexiest job of the 21st Century?
And to remind you from a job perspective, the people using GPU clusters are doing the “best work” there is.Thought…
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