Thu.Nov 30, 2023

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The Difference Between Learning and Doing

Jesse Anderson

Lately, I’ve been learning how to trade options. Although there’s data and programming involved in options trading, it isn’t as technical as data engineering or software engineering. However, it reflects the current state of learning, whether that’s data engineering or options trading. It gave me a look into learning a skill using videos. Each lesson I learned will directly apply to your learning or skill improvement.

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The Top 5 Alternatives to GitHub for Data Science Projects

KDnuggets

The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.

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Best Practices for Migrating Historical Data to Snowflake

Snowflake

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data. Choosing a migration approach involves balancing cloud strategy, architecture needs and business priorities.

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5 Free Courses to Master Data Engineering

KDnuggets

Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

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Guide to Business Writing

Everything you need to know about better business writing in one place. This is a complete guide to business writing — from a clear business writing definition to tips on how to hone your business writing skills.

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How to Get a Data Science Job at Top Companies in 2023?

Knowledge Hut

The job market today emphasizes experience as a major criterion. Employers consider experienced professionals better candidates since they provide more value to the company. Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To make t hings easier for you, here is a quick tip.

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Impacts and Takeaways From the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Cloudera

The Evolution of AI and LLMs Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.

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Find the right projection with filters in ArcGIS Pro

ArcGIS

Learn how to filter coordinate systems based on a spatial extent, GCS, or projection property.

Project 101
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Crafting a Data-Driven Talent Intelligence Strategy in Healthcare

databricks

This blog was written in collaboration with Ben Eisenberg, VP of Innovation at People Data Labs, and Tom Ashenmacher, Chief Revenue Officer at.

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Pioneering New Pathways to Enrich Customer Engagement and Compliance

Precisely

Today’s customers expect businesses to engage with them on their own terms. They want companies to anticipate their needs, personalize offerings to their individual preferences, and present them with multiple ways to interact with the brand. That requires a deep, contextual understanding of each customer’s behaviors, intentions, and wishes. It often means predicting what the customer wants, even before they go looking for it.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Monte Carlo

With more than 30 years of experience managing data at organizations like Ticketmaster and Eventbrite, Ed Presz considers himself a veteran of the data space. But when he left Eventbrite to lead the data team at Pie Insurance , that meant learning a new industry with unique challenges. From day one, Ed knew data quality was going to be key. As an insurance provider that focuses on workers’ comp and commercial auto for small businesses, Pie employees needed access to accurate, reliable informatio

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How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

Monte Carlo

With more than 30 years of experience managing data at organizations like Ticketmaster and Eventbrite, Ed Presz considers himself a veteran of the data space. But when he left Eventbrite to lead the data team at Pie Insurance , that meant learning a new industry with unique challenges. From day one, Ed knew data quality was going to be key. As an insurance provider that focuses on workers’ comp and commercial auto for small businesses, Pie employees needed access to accurate, reliable informatio