#### Introduction to Python

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.

183 results

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.

4 hours
Programming
Hugo Bowne-Anderson
Course

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hours
Programming
Hugo Bowne-Anderson
Course

Dive into data science using Python and learn how to effectively analyze and visualize your data.

4 hours
Programming
Hillary Green-Lerman
Course

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

4 hours
Machine Learning
Hugo Bowne-Anderson
Course

Use the worldâ€™s most popular Python data science package to manipulate data and calculate summary statistics.

4 hours
Data Manipulation
Richie Cotton
Course

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

4 hours
Applied Finance
Chelsea Yang
Course

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hours
Programming
Hugo Bowne-Anderson
Course

Learn how to create, customize, and share data visualizations using Matplotlib.

4 hours
Data Visualization
Ariel Rokem
Course

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hours
Importing & Cleaning Data
Hugo Bowne-Anderson
Course

Learn about the world of data engineering with an overview of all its relevant topics and tools!

4 hours
Data Engineering
Vincent Vankrunkelsven
Course

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hours
Programming
Hugo Bowne-Anderson
Course

Learn to combine data from multiple tables by joining data together using pandas.

4 hours
Data Manipulation
Aaren Stubberfield
Course

Build the foundation you need to think statistically and to speak the language of your data.

3 hours
Probability & Statistics
Justin Bois
Course

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hours
Programming
Logan Thomas
Course

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hours
Importing & Cleaning Data
Adel Nehme
Course

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

4 hours
Programming
Nick Solomon
Course

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

4 hours
Machine Learning
Dan Becker
Course

Learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

4 hours
Data Manipulation
Team Anaconda
Course

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hours
Data Visualization
Erin Case
Course

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours
Machine Learning
Benjamin Wilson
Course

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

4 hours
Programming
Alex Yarosh
Course

Improve your Python data importing skills and learn to work with web and API data.

2 hours
Importing & Cleaning Data
Hugo Bowne-Anderson
Course

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours
Programming
Shayne Miel
Course

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

4 hours
Machine Learning
Katharine Jarmul
Course

Learn how to explore, visualize, and extract insights from data.

4 hours
Probability & Statistics
Allen Downey
Course

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hours
Programming
Jason Myers
Course

This course introduces Python for financial analysis.

4 hours
Applied Finance
Adina Howe
Course

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

5 hours
Machine Learning
Elie Kawerk
Course

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours
Data Visualization
Chris Moffitt
Course

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

4 hours
Importing & Cleaning Data
Amany Mahfouz
Course

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hours
Machine Learning
Shaumik Daityari
Course

Learn how to work with dates and times in Python.

4 hours
Programming
Max Shron
Course

Learn to retrieve and parse information from the internet using the Python library scrapy.

4 hours
Importing & Cleaning Data
Thomas Laetsch
Course

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

4 hours
Machine Learning
Isaiah Hull
Course

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

4 hours
Data Manipulation
Kevin Markham
Course

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hours
Probability & Statistics
Justin Bois
Course

In this course you'll learn the basics of working with time series data.

4 hours
Data Manipulation
Stefan Jansen
Course

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours
Machine Learning
Mike Gelbart
Course

Learn to start developing deep learning models with Keras.

4 hours
Machine Learning
Miguel Esteban
Course

Learn to create deep learning models with the PyTorch library.

4 hours
Machine Learning
Ismail Elezi
Course

In this course, you'll learn the basics of relational databases and how to interact with them.

4 hours
Data Manipulation
Jason Myers
Course

Learn how to build a model to automatically classify items in a school budget.

4 hours
Case Studies
Peter Bull
Course

Learn complex data visualization techniques using Matplotlib and seaborn.

4 hours
Data Visualization
Team Anaconda
Course

Learn to process, transform, and manipulate images at your will.

4 hours
Machine Learning
Rebeca Gonzalez
Course

Learn the fundamentals of working with big data with PySpark.

4 hours
Programming
Upendra Kumar Devisetty
Course

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours
Machine Learning
Sergey Fogelson
Course

Learn how to to implement and schedule data engineering workflows.

4 hours
Data Engineering
Mike Metzger
Course

Learn how to write unit tests for your Data Science projects in Python using pytest.

4 hours
Programming
Dibya Chakravorty
Course

You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.

4 hours
Data Manipulation
Team Anaconda
Course

In this course you'll learn how to get your cleaned data ready for modeling.

4 hours
Machine Learning
DataCamp Content Creator
Course

Analyze the gender distribution of children's book writers and use sound to match names to gender.

45 minutes
Case Studies
Tufool Alnuaimi
Project
guided

You will explore the market capitalization of Bitcoin and other cryptocurrencies.

45 minutes
Data Manipulation, Data Visualization...
Juan GonzĂˇlez-Vallinas
Project
guided

Learn to analyze Twitter data and do a deep dive into a hot trend.

45 minutes
Data Manipulation, Data Visualization...
Samia Khalid
Project
guided

Analyze the network of characters in Game of Thrones and how it changes over the course of the books.

45 minutes
Case Studies
Mridul Seth
Project
guided

Explore Disney movie data, then build a linear regression model to predict box office success.

45 minutes
Data Manipulation, Data Visualization...
Sirinda Palahan
Project
guided

Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.

45 minutes
Data Manipulation, Data Visualization...
Andrii Pavlenko
Project
guided

Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.

45 minutes
Data Manipulation, Data Visualization...
Jiwon Jeong
Project
guided

Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.

45 minutes
Data Manipulation, Data Visualization...
David Venturi
Project
guided

Use pandas to calculate and compare profitability and risk of different investments using the Sharpe Ratio.

45 minutes
Applied Finance, Case Studies
Stefan Jansen
Project
guided

Use NLP and clustering on movie plot summaries from IMDb and Wikipedia to quantify movie similarity.

45 minutes
Data Manipulation, Data Visualization...
Anubhav Singh
Project
guided

Build a binary classifier to predict if a blood donor is likely to donate again.

45 minutes
Data Manipulation, Machine Learning...
Dimitri Denisjonok
Project
guided

Load, clean, and visualize scraped Google Play Store data to understand the Android app market.

45 minutes
Data Manipulation, Data Visualization...
Lavanya Gupta
Project
guided

Scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.

45 minutes
Data Manipulation, Data Visualization...
Juan GonzĂˇlez-Vallinas
Project
guided

Build a book recommendation system using NLP and the text of books like "On the Origin of Species."

45 minutes
Data Manipulation, Data Visualization...
Philippe Julien
Project
guided

Build a machine learning model to predict if a credit card application will get approved.

45 minutes
Data Manipulation, Machine Learning...
Sayak Paul
Project
guided

Build a deep learning model that can automatically detect honey bees and bumble bees in images.

45 minutes
Data Manipulation, Data Visualization...
Emily Miller
Project
guided

Plot Google Trends data to find the most famous Kardashian/Jenner sister. Is it Kim? Kendall? Kylie?

45 minutes
Data Manipulation, Data Visualization...
David Venturi
Project
guided

Build a convolutional neural network to classify images of letters from American Sign Language.

45 minutes
Data Manipulation, Data Visualization...
Alexis Cook
Project
guided

Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

45 minutes
Data Manipulation, Data Visualization...
Howard Friedman
Project
guided

Use pandas and Bayesian statistics to see if left-handed people actually die earlier than righties.

45 minutes
Data Manipulation, Data Visualization...
Madeleine Bonsma-Fisher
Project
guided

Flex your pandas muscles on breath alcohol test data from Ames, Iowa, USA.

45 minutes
Data Manipulation, Data Visualization...
Samantha Tyner
Project
guided

Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!

60 minutes
Data Manipulation, Data Visualization...
Katharine Jarmul
Project
guided

How can we find a good strategy for reducing traffic-related deaths?

60 minutes
Data Manipulation, Data Visualization...
Joel Ă–stblom
Project
guided

Rock or rap? Apply machine learning methods in Python to classify songs into genres.

60 minutes
Data Manipulation, Data Visualization...
Lina Tran
Project
guided

Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

60 minutes
Data Manipulation, Data Visualization...
Rasmus BĂĄĂĄth
Project
guided

Build a model that can automatically detect honey bees and bumble bees in images.

60 minutes
Data Manipulation, Data Visualization...
Peter Bull
Project
guided

Automatically generate keywords for a search engine marketing campaign using Python.

60 minutes
Data Manipulation
Elias Dabbas
Project
guided

Use web scraping and NLP to find the most frequent words in Herman Melville's novel, Moby Dick.

45 minutes
Importing & Cleaning Data, Case Studies
Hugo Bowne-Anderson
Project
guided

Load, transform, and understand images of honey bees and bumble bees in Python.

60 minutes
Data Manipulation, Data Visualization...
Peter Bull
Project
guided

If you've never done a DataCamp project, this is the place to start!

30 minutes
Data Visualization, Case Studies
Rasmus BĂĄĂĄth
Project
guided

Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

45 minutes
Data Manipulation, Data Visualization...
David Venturi
Project
guided

Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.

60 minutes
Data Manipulation, Data Visualization...
Rasmus BĂĄĂĄth
Project
guided

Analyze an A/B test from the popular mobile puzzle game, Cookie Cats.

45 minutes
Case Studies
Rasmus BĂĄĂĄth
Project
guided

Find the true Scala experts by exploring its development history in Git and GitHub.

45 minutes
Data Manipulation, Data Visualization...
Anita Sarma
Project
guided

Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.

45 minutes
Data Manipulation, Data Visualization...
Lars Hulstaert
Project
guided

Check what passwords fail to conform to the National Institute of Standards and Technology password guidelines.

45 minutes
Case Studies
Rasmus BĂĄĂĄth
Project
guided

Recreate John Snow's famous map of the 1854 cholera outbreak in London.

60 minutes
Data Manipulation, Data Visualization...
Radovan Kavicky
Project
guided

Find out about the evolution of the Linux operating system by exploring its version control system.

45 minutes
Importing & Cleaning Data, Case Studies
Markus Harrer
Project
guided

In this project we will explore a database of every LEGO set ever built.

45 minutes
Data Manipulation, Data Visualization...
Ramnath Vaidyanathan
Project
guided