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Data Science Tutorials

Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.
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Python None: The Standard for Missing or Empty Values

Learn how Python’s None object represents the absence of a value. Discover its internal design, common use cases, best practices, and how it compares with null in other languages.
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Oluseye Jeremiah

10 noiembrie 2025

Kimi K2 Thinking: Open-Source LLM Guide, Benchmarks, and Tools

Hands-on tutorial to run Kimi K2 Thinking, build tool-calling workflows, view transparent reasoning, and benchmark against GPT-5 and Claude 4.5.
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Bexruz (Bex) Tuychiev

10 noiembrie 2025

Qwen3-Max-Thinking: Hands-On With the Largest LLM in the World

Test Qwen3-Max-Thinking, the world’s largest LLM, in reasoning mode. See how it stacks up against GPT-5 and Claude Sonnet 4.5 in logic, math, and code.
Bexruz (Bex) Tuychiev's photo

Bexruz (Bex) Tuychiev

10 noiembrie 2025

n8n Workflow Builder Tutorial: Automate Daily Standups

Learn how to use n8n Workflow Builder to automate your daily standups. Connect Google Calendar, summarize with AI, and create daily digests.
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Aashi Dutt

6 noiembrie 2025

Convert Excel to CSV: Four Methods That Work

Learn proven ways to convert Excel to CSV, manually, programmatically, and in bulk, while maintaining data accuracy, encoding, and security.
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Jachimma Christian

5 noiembrie 2025

Facebook Prophet: A Modern Approach to Time Series Forecasting

Understand how Facebook Prophet models trends, seasonality, and special events for accurate and interpretable forecasts.
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Vidhi Chugh

5 noiembrie 2025

Error Propagation: How Uncertainty Spreads Through Calculations

Understand how uncertainties in measurements affect calculated results and learn formulas and methods to quantify them across various mathematical operations.
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Arunn Thevapalan

5 noiembrie 2025

Excel Sparklines: A Complete Guide to Mini Data Visualizations

Learn how to create this wonderfully compact and elegant cell-sized visualization in Excel that is perfect for summary trend and data visualization.
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Tim Lu

4 noiembrie 2025

Understanding UMAP: A Comprehensive Guide to Dimensionality Reduction

Learn how UMAP simplifies high-dimensional data visualization with detailed explanations, practical use cases, and comparisons to other dimensionality reduction methods, including t-SNE and PCA.
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Arunn Thevapalan

4 noiembrie 2025

Tanh Function: Why Zero-Centered Outputs Matter for Neural Networks

This guide explains the mathematical intuition behind the tanh function, how it compares to sigmoid and ReLU, its advantages and trade-offs, and how to implement it effectively in deep learning.
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Dario Radečić

3 noiembrie 2025