#### Introduction to Python

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

153 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. No coding experience or skills needed.

4 hours
Programming
Hillary Green-Lerman
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 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

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

4 hours
Machine Learning
George Boorman
Course

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

4 hours
Data Manipulation
Aaren Stubberfield
Course

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hours
Probability & Statistics
Maggie Matsui
Course

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

4 hours
Programming
Hugo Bowne-Anderson
Course

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

4 hours
Probability & Statistics
Allen Downey
Course

Learn how to use NumPy arrays in Python to perform mathematical operations and wrangle data with the best of them!

4 hours
Data Manipulation
Izzy Weber
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 use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours
Programming
Shayne Miel
Course

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

4 hours
Probability & Statistics
James Chapman
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

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

4 hours
Machine Learning
Benjamin Wilson
Course

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

4 hours
Programming
Nick Solomon
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

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in Python.

4 hours
Probability & Statistics
Maarten Van den Broeck
Course

Learn how to work with dates and times in Python.

4 hours
Programming
Max Shron
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 the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

4 hours
Machine Learning
Dan Becker
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

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

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

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

4 hours
Probability & Statistics
James Chapman
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 how to write unit tests for your Data Science projects in Python using pytest.

4 hours
Programming
Dibya Chakravorty
Course

Learn the fundamentals of working with big data with PySpark.

4 hours
Programming
Upendra Kumar Devisetty
Course

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hours
Programming
Adam Spannbauer
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

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

4 hours
Data Manipulation
Stefan Jansen
Course

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

4 hours
Machine Learning
Isaiah Hull
Course

This course focuses on feature engineering and machine learning for time series data.

4 hours
Machine Learning
Chris Holdgraf
Course

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

4 hours
Machine Learning
Rebeca Gonzalez
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 about string manipulation and become a master at using regular expressions.

4 hours
Data Manipulation
Maria Eugenia Inzaugarat
Course

Learn to start developing deep learning models with Keras.

4 hours
Machine Learning
Miguel Esteban
Course

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

4 hours
Machine Learning
DataCamp Content Creator
Course

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

4 hours
Probability & Statistics
Rob Reider
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

Create new features to improve the performance of your Machine Learning models.

4 hours
Machine Learning
Robert O'Callaghan
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 create deep learning models with the PyTorch library.

4 hours
Machine Learning
Ismail Elezi
Course

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

4 hours
Data Manipulation
Maria Eugenia Inzaugarat
Course

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

4 hours
Machine Learning
Jeroen Boeye
Course

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

4 hours
Probability & Statistics
Justin Bois
Course

Learn the fundamentals of AI. No programming experience required!

4 hours
Machine Learning
Nemanja RadojkoviÄ‡
Course

Learn efficient techniques in pandas to optimize your Python code.

4 hours
Programming
Leonidas Souliotis
Course

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

4 hours
Programming
Maksim Pecherskiy
Course

In this project, we will use data manipulation skills to zoom in on a time when Lego explored a new direction for their toy line!

45 minutes
Data Manipulation
Justin Saddlemyer
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, Probability & Statistics...
Samia Khalid
Project
guided

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

45 minutes
Data Manipulation, Probability & Statistics...
Sirinda Palahan
Project
guided

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

45 minutes
Data Manipulation, Probability & Statistics...
Andrii Pavlenko
Project
guided

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

45 minutes
Data Manipulation, Machine Learning...
Jiwon Jeong
Project
guided

Use data manipulation and visualization to explore one of two different television broadcast datasets: The Super Bowl and hit sitcom The Office!

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

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

45 minutes
Data Manipulation, Machine Learning...
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 gain insights into the Android app market.

45 minutes
Data Manipulation, Probability & Statistics...
Lavanya Gupta
Project
guided

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

45 minutes
Data Manipulation, Probability & Statistics...
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, Probability & Statistics...
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, Machine Learning...
Emily Miller
Project
guided

Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.

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, Machine Learning...
Alexis Cook
Project
guided

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

45 minutes
Data Manipulation, Probability & Statistics...
Howard Friedman
Project
guided

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

45 minutes
Data Manipulation, Probability & Statistics...
Madeleine Bonsma-Fisher
Project
guided

Flex your data manipulation 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, Probability & Statistics...
Katharine Jarmul
Project
guided

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

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

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

60 minutes
Data Manipulation, Machine Learning...
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, Machine Learning...
Peter Bull
Project
guided

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

60 minutes
Data Manipulation
Elias Dabbas
Project
guided

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

60 minutes
Data Manipulation, Machine Learning...
Peter Bull
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, Probability & Statistics...
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, Machine Learning...
Lars Hulstaert
Project
guided

Use joining techniques to discover the oldest businesses in the world.

45 minutes
Data Manipulation
Izzy Weber
Project
guided

Apply data importing and cleaning skills to extract insights about the New York City Airbnb market.

45 minutes
Data Manipulation, Importing & Cleaning Data
George Boorman
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

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

45 minutes
Data Manipulation, Programming...
Justin Saddlemyer
Project
guided

Use coding best practices and functions to improve a script!

45 minutes
Programming
Lis Sulmont
Project
guided

Use DataFrames to read and merge employee data from different sources.

45 minutes
Data Manipulation, Importing & Cleaning Data
Hadrien Lacroix
Project
guided

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

45 minutes
Data Manipulation, Probability & Statistics...
Lavanya Gupta
Project
guided

Manipulate and plot time series data from Google Trends to analyze changes in search interest over time.

45 minutes
Data Manipulation, Data Visualization...
Lis Sulmont
Project
guided

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

45 minutes
Data Manipulation, Data Visualization...
Justin Saddlemyer
Project
unguided

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

45 minutes
Data Manipulation, Importing & Cleaning Data
Lis Sulmont
Project
guided

Use a variety of data manipulation techniques to explore different aspects of Lego's history!

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