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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Data Science for Search Engine Marketing (SEM)
In this tutorial, data science meets Search Engine Marketing: learn to create Google AdWords campaigns by generating keywords and ad templates with Python!
Elias Dabbas
2018年1月26日
PEP-8 Tutorial: Code Standards in Python
With this beginner tutorial, you'll start to explore PEP-8, Python's style guide, so that you can start formatting your code correctly to maximize its readability!
Chitrank Dixit
2023年4月11日
Transfer Learning: Leverage Insights from Big Data
In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.
Lars Hulstaert
2018年1月19日
Python String Tutorial
In this tutorial, you'll learn all about Python Strings: slicing and striding, manipulating and formatting them with the Formatter class, f-strings, templates and more!
Sejal Jaiswal
2018年1月18日
Time Series Analysis Tutorial with Python
Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.
Hugo Bowne-Anderson
2018年1月17日
Machine Learning with Kaggle: Feature Engineering
Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!
Hugo Bowne-Anderson
2018年1月10日
8 Useful Shell Commands for Data Science
Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial!
Alexis Perrier
2018年1月5日
Kaggle Tutorial: Your First Machine Learning Model
Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!
Hugo Bowne-Anderson
2018年1月3日
Kaggle Tutorial: EDA & Machine Learning
In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.
Hugo Bowne-Anderson
2017年12月21日
Five Tips to Improve your R Code
Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!
Simon Jackson
2017年12月13日
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
2024年12月4日
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
2026年4月23日