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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Cloudera Hadoop Tutorial
Learn about Hadoop ecosystem, the architectures and how to start with Cloudera.
DataCamp Team
4 mars 2022
Kaggle Datasets Tutorial: Kaggle Notebooks
Learn about Kaggle datasets and notebooks and get a head start on creating your Kaggle profile.
Çağlar Uslu
2 mars 2022
Python Details on Correlation Tutorial
A tutorial to understand what correlation is and why it is important for every aspiring data scientist to know it.
Javier Canales Luna
25 februari 2022
Time Series Forecasting Tutorial
A detailed guide to time series forecasting. Learn to use python and supporting frameworks. Learn about the statistical modelling involved.
Moez Ali
23 februari 2022
What Is Deep Learning? A Tutorial for Beginners
The tutorial answers the most frequently asked questions about deep learning and explores various aspects of deep learning with real-life examples.
Abid Ali Awan
16 oktober 2023
Mastering PyCharm Tutorial
The data scientist's comprehensive guide to mastering PyCharm
DataCamp Team
17 februari 2022
Data Cleaning: Understanding the Essentials
Data cleaning is a very basic building block of data science. Learn the importance of data cleaning and how to use Python and carry out the process.
DataCamp Team
18 december 2024
Google Colab Tutorial for Data Scientists
A brief guide for navigating Google Colab to carry out data science coding and collaborating with other data scientists.
Bala Priya C
4 februari 2022
SQL Commands for Data Scientists
Learn the basic and essential commands for SQL with examples and a workspace notebook to refer to.
Emiko Sano
25 januari 2022
Streamlit Python: Tutorial
This Python Streamlit tutorial is designed for data scientists and machine learning engineers who want to quickly build web apps without extensive web development knowledge.
Nadia mhadhbi
31 mars 2026
PyCaret Tutorial: A beginner's guide for automating ML workflows using PyCaret
PyCaret is an end-to-end machine learning and model management tool that exponentially speeds up the experiment cycle and makes you more productive.
Moez Ali
18 november 2021
Pandas .apply(): What It Does, When It Helps, and Faster Alternatives
Learn what Python pandas .apply is and how to use it for DataFrames. Learn how to iterate over DataFrames using the .apply() function today!
DataCamp Team
6 oktober 2025