Fri.Nov 10, 2023

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Top 7 Essential Cheat Sheets To Ace Your Data Science Interview

KDnuggets

The blog covers cheat sheets on SQL, statistics, pandas, data visualization, scikit-learn, Git, and theoretical data science concepts.

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Let’s do data science V: New Multidimensional Raster Capabilities

ArcGIS

This blog summarizes new capabilities on multidimensional raster, STAC, trajectory data, and image processing in ArcGIS Pro 3.

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10 Essential Pandas Functions Every Data Scientist Should Know

KDnuggets

This article contains ten Pandas functions that are important as well as handy for every data scientist.

Data 121
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Cybersecurity Lakehouses Part 3: Data Parsing Strategies

databricks

In this four-part blog series, "Lessons learned from building Cybersecurity Lakehouses," we are discussing a number of challenges organizations face with data engineering.

Data 81
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Using ChatGPT to Help Land a Data Science Job

KDnuggets

Use the power of LLM to help you achieve your dream career.

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Navigating the Chaos of Unruly Data: Solutions for Data Teams

DataKitchen

The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. The core issue plaguing many organizations is the presence of out-of-control databases or data lakes characterized by: Unrestrained Data Changes: Numerous users and tools incessantly alter data, leading to a tumultuous environment. Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team.