-
Why You Need RAG to Stay Relevant as a Data Scientist
How retrieval-augmented generation (RAG) reduces LLM costs, minimises hallucinations, and keeps you employable in the age of AI.
-
Top 5 Alternative Data Career Paths and How to Learn Them for Free
How about some alternative options for a data career? Learn about five non-standard career paths, required skills, and how to learn them for free.
-
7 Cognitive Biases That Affect Your Data Analysis (and How to Overcome Them)
What are the most important cognitive biases, and how do you overcome them to make your data analysis as objective as possible?
-
How to Use Deep Research Like a Pro
Go beyond basic search and learn how to gather credible, structured insights using AI-powered deep research tools like ChatGPT, Perplexity, and more.
-
Training Models with XGBoost in Your Browser
Build and fine-tune XGBoost models entirely online — no installations, just data, tuning, and results inside your browser.
-
STAR Doesn’t Work: How to Answer Behavioral Questions as a Data Scientist
STAR isn’t suitable for technical jobs, so how do you answer behavioral interview questions while still showing you’re a data scientist?
-
Getting Started With a Career in Data Science
Breaking into data science has never been easy. In this tutorial, we’ll make your life easier by providing you with a step-by-step roadmap for data science beginners.
-
Mastering NumPy’s Universal Functions for Fast Array Computation
By Nate Rosidi, KDnuggets Market Trends & SQL Content Specialist on May 5, 2025 in PythonMaster element-wise operations, comparisons, logic, aggregation, and broadcasting using NumPy ufuncs for high-performance array processing.
-
SQL CTE vs. Subquery: This Debate Ain’t Over Yet!
By Nate Rosidi, KDnuggets Market Trends & SQL Content Specialist on April 16, 2025 in SQLCTEs and subqueries are often seen as the same thing, written slightly differently. That’s far from the truth. Let’s examine their differences, find a winner, and end this debate about which one is better.
-
Data Science Side Quests: 4 Uncommon Projects to Elevate Your Skills
Doing data science projects can be demanding, but it doesn’t mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.
|
