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 Dictionary Comprehension: Essentials You Need to Know
Learn all about Python dictionary comprehension. Learn how you can use it to create dictionaries, to replace (nested) for loops or lambda functions with map(), filter(), reduce(), and more!
Sejal Jaiswal
4 dicembre 2024
Python Data Structures Tutorial
Get introduced to Python data structures: learn more about data types and primitive as well as non-primitive data structures, such as strings, lists, stacks, etc.
Sejal Jaiswal
23 aprile 2026
AWS EC2 Tutorial For Beginners
Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance.
DataCamp Team
6 dicembre 2017
Convolutional Neural Networks in Python with Keras
In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
Aditya Sharma
5 dicembre 2017
R Formula Tutorial
Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
Karlijn Willems
23 novembre 2017
Pipes in R Tutorial For Beginners
Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
Karlijn Willems
21 dicembre 2022
LDA2vec: Word Embeddings in Topic Models
Learn more about LDA2vec, a model that learns dense word vectors jointly with Dirichlet-distributed latent document-level mixtures of topic vectors.
Lars Hulstaert
19 ottobre 2017
Python Loops Tutorial
A comprehensive introductory tutorial to Python loops. Learn and practice while and for loops, nested loops, the break and continue keywords, the range function and more!
Satyabrata Pal
18 ottobre 2017
Web Scraping & NLP in Python
Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hugo Bowne-Anderson
13 ottobre 2017
Hierarchical indices, groupby and pandas
In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.
Hugo Bowne-Anderson
31 marzo 2023
Groupby, split-apply-combine and pandas
In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
Hugo Bowne-Anderson
26 settembre 2017
Poker Probability and Statistics with Python
Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.
Daniel Poston
21 settembre 2017