219 results

Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hours Programming Hugo Bowne-Anderson Course

Intermediate Python

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

4 hours Programming Hugo Bowne-Anderson Course

Data Manipulation with pandas

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

4 hours Data Manipulation Richie Cotton Course

Supervised Learning with scikit-learn

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

Python Data Science Toolbox (Part 1)

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

Introduction to Statistics in Python

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

Joining Data with pandas

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

4 hours Data Manipulation Aaren Stubberfield Course

Introduction to Data Visualization with Matplotlib

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

4 hours Data Visualization Ariel Rokem Course

Exploratory Data Analysis in Python

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

4 hours Exploratory Data Analysis George Boorman Course

Introduction to Data Visualization with Seaborn

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

4 hours Data Visualization DataCamp Content Creator Course

Python Data Science Toolbox (Part 2)

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

4 hours Programming Hugo Bowne-Anderson Course

Introduction to Importing Data in Python

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

3 hours Data Preparation Hugo Bowne-Anderson Course

Introduction to Data Science in Python

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

Cleaning Data in Python

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

4 hours Data Preparation Adel Nehme Course

Writing Efficient Python Code

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

4 hours Programming Logan Thomas Course

Introduction to Python for Developers

Master the fundamentals of programming in Python. No prior knowledge required!

3 hours Programming George Boorman Course

Introduction to Natural Language Processing in Python

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

Object-Oriented Programming in Python

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

4 hours Programming Alex Yarosh Course

Writing Functions in Python

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

4 hours Programming Shayne Miel Course

Unsupervised Learning in Python

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

4 hours Machine Learning Benjamin Wilson Course

Introduction to NumPy

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

4 hours Data Manipulation Izzy Weber Course

Data Structures and Algorithms in Python

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

4 hours Programming Miriam Antona Course

Machine Learning with Tree-Based Models in Python

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

Intermediate Importing Data in Python

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

2 hours Data Preparation Hugo Bowne-Anderson Course

Introduction to Python for Finance

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

4 hours Applied Finance Adina Howe Course

Hypothesis Testing in Python

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

Manipulating Time Series Data in Python

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

4 hours Data Manipulation Stefan Jansen Course

Sampling in Python

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

Intermediate Data Visualization with Seaborn

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

4 hours Data Visualization Chris Moffitt Course

Streamlined Data Ingestion with pandas

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

4 hours Data Preparation Amany Mahfouz Course

Introduction to Regression with statsmodels in Python

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

4 hours Probability & Statistics Maarten Van den Broeck Course

Web Scraping in Python

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

4 hours Data Preparation Thomas Laetsch Course

Introduction to Data Engineering

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

4 hours Data Engineering Vincent Vankrunkelsven Course

Statistical Thinking in Python (Part 1)

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

3 hours Probability & Statistics Justin Bois Course

Working with Categorical Data in Python

Learn how to manipulate and visualize categorical data using pandas and seaborn.

4 hours Data Manipulation Kasey Jones Course

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours Artificial Intelligence Miguel Esteban Course

Working with Dates and Times in Python

Learn how to work with dates and times in Python.

4 hours Programming DataCamp Content Creator Course

Preprocessing for Machine Learning in Python

Learn how to clean and prepare your data for machine learning!

4 hours Machine Learning James Chapman Course

Introduction to Deep Learning in Python

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

4 hours Artificial Intelligence Dan Becker Course

Software Engineering Principles in Python

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

4 hours Programming Adam Spannbauer Course

Image Processing in Python

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

4 hours Machine Learning Rebeca Gonzalez Course

Introduction to Data Pipelines

This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.

4 hours Data Engineering Jake Roach Course

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Feature Engineering for Machine Learning in Python

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

4 hours Machine Learning Robert O'Callaghan Course

Data Types for Data Science in Python

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

Introduction to Spark SQL in Python

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

4 hours Data Manipulation Mark Plutowski Course

Building Data Engineering Pipelines in Python

Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.

4 hours Data Engineering Kai Zhang Course

Time Series Analysis in Python

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

4 hours Probability & Statistics Rob Reider Course

Introduction to TensorFlow in Python

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

4 hours Machine Learning Isaiah Hull Course

Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours Other Jay Rosok Course
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Exploring the Evolution of Lego

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

Name Game: Gender Prediction using Sound

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

Exploring the Bitcoin Cryptocurrency Market

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

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

Real-time Insights from Social Media Data

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

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

A Network Analysis of Game of Thrones

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

Disney Movies and Box Office Success

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

Analyze Your Runkeeper Fitness Data

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

Comparing Cosmetics by Ingredients

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

Analyzing TV Data

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

Risk and Returns: The Sharpe Ratio

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

Find Movie Similarity from Plot Summaries

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

Give Life: Predict Blood Donations

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

The Android App Market on Google Play

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

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

Extract Stock Sentiment from News Headlines

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

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

Book Recommendations from Charles Darwin

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

Naïve Bees: Deep Learning with Images

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

Comparing Search Interest with Google Trends

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

ASL Recognition with Deep Learning

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

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

Which Debts Are Worth the Bank's Effort?

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

Do Left-handed People Really Die Young?

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

Who Is Drunk and When in Ames, Iowa?

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

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

Who's Tweeting? Trump or Trudeau?

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

Reducing Traffic Mortality in the USA

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

60 minutes Data Manipulation, Data Visualization... Joel Östblom Project guided

Classify Song Genres from Audio Data

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

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

A Visual History of Nobel Prize Winners

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 Bååth Project guided

Naïve Bees: Predict Species from Images

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

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

Generating Keywords for Google Ads

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

60 minutes Data Manipulation Elias Dabbas Project guided

Word Frequency in Classic Novels

Use web scraping and NLP to find the most frequent words in one of two pieces of classic literature: Herman Melville's novel, Moby Dick, or Peter Pan by J. M. Barrie.

45 minutes R Programming, Python Programming... Hugo Bowne-Anderson Project guided

Naïve Bees: Image Loading and Processing

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

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

Introduction to DataCamp Projects

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

30 minutes Data Visualization, Case Studies Rasmus Bååth Project guided

A New Era of Data Analysis in Baseball

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

Building an E-Commerce Clothing Classifier Model with Keras

Automate e-commerce processes with image classification.

1 hour Machine Learning, Artificial Intelligence Chris Harper Project guided

Monitoring A Financial Fraud Detection Model

Help the bank monitoring their fraud detection model and figuring out why it's not performing as expected.

1 hour Machine Learning Hakim Elakhrass Project guided

Analyzing Car Reviews with LLMs

Use LLMs to solve diverse language tasks for a car dealership company.

1 hour Artificial Intelligence Iván Palomares Carrascosa Project guided

Getting a Good Night's Sleep

Dive into sleep data and gain insights about factors that impact sleep quality

1 hour Data Manipulation, Exploratory Data Analysis Amina Edmunds Project guided

Topic Analysis of Clothing Reviews with Embeddings

Analyze clothing reviews on an e-commerce platform to explore different topics and similarities among them.

1 hour Artificial Intelligence Sifat Khan Project guided

Dr. Semmelweis and the Discovery of Handwashing

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

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

Assessing Customer Churn Using Machine Learning

Build models predicting customer churn for Indian telecom customers.

1 hour Data Manipulation, Machine Learning Dr. Chester Ismay Project guided

Inspecting Electric Vehicle Charging Trends

Chart electric vehicle charging trends to inform strategic planning.

1 hour Data Manipulation, Data Visualization Dr. Chester Ismay Project guided

Analyzing Flight Delays and Cancellations

Examine flight delays & cancellations to uncover insights.

1 hour Data Manipulation, Data Visualization Dr. Chester Ismay Project guided

Debugging a Sales Data Workflow

Sometimes, things that once worked perfectly suddenly hit a snag. Practice your knowledge of DataFrames to find the problem and fix it!

45 min Data Manipulation Katerina Zahradova Project guided

Visualizing the History of Nobel Prize Winners

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

1 hour Data Manipulation, Data Visualization Jasmin Ludolf Project guided

Performing a Code Review

Review a data analysis workflow for adherence to Python standards and best-practices.

1 hour Programming, Data Engineering Jake Roach Project guided

Analyzing Crime in Los Angeles

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

45 minutes Data Manipulation, Exploratory Data Analysis George Boorman Project guided

Mobile Games A/B Testing with Cookie Cats

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

45 minutes Case Studies Rasmus Bååth Project guided

Building a Retail Data Pipeline

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

45 min Python Programming, Data Manipulation... Anastasia Dvoryanchikova Project guided

Clustering Antarctic Penguin Species

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

1 hour Machine Learning Amir Parizi Project guided

Predicting Movie Rental Durations

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

1 hour Data Manipulation, Machine Learning Rohan Chatterjee Project guided

Hypothesis Testing in Healthcare

Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant!

1 hour Python Programming, Data Manipulation... Mark Edosa Project guided

Predictive Modeling for Agriculture

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

1 hour Python Programming, Machine Learning... Mohammed Abufouda Project guided
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