Sari la conținutul principal
să înveți data science

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.
Descoperă categoriile
GroupAntrenați 2 sau mai multe persoane?Încearcă DataCamp for Business

Cloudera Hadoop Tutorial

Learn about Hadoop ecosystem, the architectures and how to start with Cloudera.
DataCamp Team's photo

DataCamp Team

4 martie 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's photo

Javier Canales Luna

25 februarie 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's photo

Moez Ali

23 februarie 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's photo

Abid Ali Awan

16 octombrie 2023

Mastering PyCharm Tutorial

The data scientist's comprehensive guide to mastering PyCharm
DataCamp Team's photo

DataCamp Team

17 februarie 2022

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's photo

Bala Priya C

4 februarie 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 ianuarie 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's photo

Nadia mhadhbi

31 martie 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's photo

Moez Ali

18 noiembrie 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's photo

DataCamp Team

6 octombrie 2025