Start Data Engineering
JUNE 24, 2022
1. Introduction 2. Steps 2.1. Choosing companies to work for 2.2. Optimizing your Linkedin & resume 2.3. Landing interviews 2.4. Preparing for interviews 2.5. Offers & Negotiation 3. Conclusion 4. Further reading 5. Reference 1. Introduction The data industry is booming! & data engineering salaries are skyrocketing. But landing a new job is not an easy task.
KDnuggets
JUNE 24, 2022
In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.
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Cloudera
JUNE 24, 2022
Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Those are enormously important in the private and public sectors alike. But for government agencies, there is a greater mission: improving people’s lives. Data makes the most ambitious and even idealistic goals —like making the world a better place — possible.
KDnuggets
JUNE 24, 2022
Will your skills get outdated if you survive on one programming language for your career? Read on to find out.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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