So you want to be a data scientist or get a few steps up the ladder in AI. But where do you start? Digital technology is the life-force of the modern world, and data science, AI, machine learning, and other related skills are not only necessary to get ahead; they’re

BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible.  So, why

To guide your company towards success, leaders need a clear idea of what’s around the corner. It’s not enough to analyze what happened in the past. You need to know what the future holds. And that means data science-backed predictive models.  More data science doesn’t always mean more data scientists, though.

Read on the extract of the guide “6 steps to jumpstart machine learning using the resources you already have” written by Explorium – it explains how senior data professionals can enable data science in their organizations with the resources they have available, how to use cutting-edge technology to make the

Whether you are experienced or thinking about getting your hands on Apache Spark, this Apache Spark tutorial will guide you through: downloading and running Spark launching Spark’s consoles Spark’s basic architecture Spark’s language APIs DataFrames and SQL Spark’s Toolset What is Apache Spark? Apache Spark is a unified computing engine

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to

Troy Shu shares his advice on starting a new role, becoming a better storyteller, stakeholder management, managing up, and building a consultancy. Editor’s note: the post was originally published at Towards Data Science, a Medium publication sharing concepts, ideas, and codes. Troy Shu is currently a data scientist at Lyft, a

On March 18th at 6 PM CET, Elena Poughia, Data Natives’ CEO and curator shared her tips on how advance in your data science career during a live Ask Me Anything Session available via DN Club. Here is the recap of the AMA session with selected Q&As. In January we

Data professionals across industries recognize they must effectively harness data for their businesses to innovate and gain competitive advantage. High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data

If you are a developer or data scientist interested in big data, Spark is the tool for you. Apache Spark’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end-users, and integrators to solve