Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...

Basically, doing data science with Neo4j data has been painful, expensive, and not scalable, according to Neo4j’s lead product manager Alicia Frame. But that all should change with today’s launch of ...

To help you in your data science career, I’ve prepared the main Python concepts tested in the data science interview. ... These are arrays, stack, queue, trees, linked lists, graphs, HashMaps. 4.

Amazon Neptune just added another query language, openCypher, to its arsenal. That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science ...

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2. In this course, instructor Lillian Pierson takes you step by ...

Should you earn a master’s in data science? ... large-scale applications, collaborative filtering and basic graph models for searching. Python for Data Science ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to ...