423 results

Introduction to Python

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

4 hours Programming Hugo Bowne-Anderson Course

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

4 hours Programming Jonathan Cornelissen Course

Introduction to SQL

Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.

4 hours Programming Nick Carchedi 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

Introduction to Data Science in Python

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

4 hours Programming Hillary Green-Lerman Course

Supervised Learning with scikit-learn

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

Data Engineering for Everyone

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

2 hours Data Engineering Hadrien Lacroix Course

Data Science for Everyone

An introduction to data science with no coding involved.

4 hours Other Hadrien Lacroix Course

Data Manipulation with pandas

Use the world’s most popular Python data science package to manipulate data and calculate summary statistics.

4 hours Data Manipulation Richie Cotton Course

Joining Data in SQL

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

5 hours Data Manipulation Chester Ismay Course

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours Programming David Robinson Course

Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

6 hours Programming Filip Schouwenaars 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

Data Analysis in Excel

Learn how to analyze data in Excel.

4 hours Data Manipulation Jen Bricker Course

Introduction to Tableau

Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data.

4 hours Data Visualization Hadrien Lacroix Course

Introduction to Power BI

Gain a 360° overview of how to explore and use Power BI to build impactful reports.

4 hours Data Visualization Sara Billen Course

Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

4 hours Data Visualization Rick Scavetta 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

Machine Learning for Everyone

An introduction to machine learning with no coding involved.

4 hours Machine Learning Hadrien Lacroix Course

Intermediate SQL

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

4 hours Programming Mona Khalil 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

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 Importing & Cleaning Data Hugo Bowne-Anderson Course

Web Scraping in R

Learn how to efficiently collect and download data from any website using R.

4 hours Importing & Cleaning Data Timo Grossenbacher 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 SQL Server

Become proficient at using SQL Server to perform common data manipulation tasks.

4 hours Programming John MacKintosh Course

pandas Foundations

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

4 hours Data Manipulation Team Anaconda Course

Data Manipulation with dplyr

Learn to transform and manipulate your data using dplyr.

4 hours Data Manipulation Chris Cardillo 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

Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

4 hours Programming Timo Grossenbacher 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

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

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 Importing & Cleaning Data Adel Nehme Course

Correlation and Regression in R

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

4 hours Probability & Statistics Ben Baumer Course

Exploratory Data Analysis in Python

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

4 hours Case Studies Allen Downey Course

Cleaning Data in R

Develop the skills you need to go from raw data to awesome insights as quickly and accurately as possible.

4 hours Importing & Cleaning Data Maggie Matsui Course

Introduction to Importing Data in R

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hours Importing & Cleaning Data Filip Schouwenaars Course

Introduction to PySpark

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

4 hours Programming Nick Solomon 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 Erin Case Course

Introduction to Deep Learning in Python

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

4 hours Machine Learning Dan Becker Course

Introduction to Data in R

Learn the language of data, study types, sampling strategies, and experimental design.

4 hours Probability & Statistics Mine Cetinkaya-Rundel 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 Aliaksandra Yarosh Course

Intermediate Importing Data in Python

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

2 hours Importing & Cleaning Data Hugo Bowne-Anderson 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

Data Analysis in Spreadsheets

Learn how to analyze data with spreadsheets using functions such as SUM(), AVERAGE(), and VLOOKUP().

3 hours Programming Vincent Vankrunkelsven 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

Exploratory Data Analysis in R

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hours Probability & Statistics Andrew Bray Course

Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

4 hours Probability & Statistics Ben Baumer Course

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours Machine Learning Brett Lantz Course

Linear Classifiers in Python

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

4 hours Machine Learning Mike Gelbart Course

Web Scraping in Python

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

4 hours Importing & Cleaning Data Thomas Laetsch Course
See 50 More Results

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

Text Mining America's Toughest Game Show

Use text mining to analyze Jeopardy! data.

45 minutes Case Studies Alexis Lee Project guided

Wrangling and Visualizing Musical Data

Wrangle and visualize musical data to find common chords and compare the styles of different artists.

45 minutes Case Studies Kris Shaffer 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

Importing and Cleaning Data

Apply your importing and data cleaning skills to real-world soccer data.

45 minutes Data Manipulation, Importing & Cleaning Data... Erin LaBrecque Project guided

Analyze International Debt Statistics

Write SQL queries to answer interesting questions about international debt using data from The World Bank.

45 minutes Data Manipulation, Importing & Cleaning Data Sayak Paul 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

Exploring the Kaggle Data Science Survey

Discover the top tools Kaggle participants use for data science and machine learning.

45 minutes Data Manipulation, Data Visualization... Amber Thomas Project guided

Modeling the Volatility of US Bond Yields

Discover how the US bond yields behave using descriptive statistics and advanced modeling.

45 minutes Data Visualization, Applied Finance József Soltész 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

What Makes a Pokémon Legendary?

Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.

45 minutes Data Manipulation, Data Visualization... Joshua Feldman Project guided

Kidney Stones and Simpson's Paradox

Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.

45 minutes Data Visualization, Probability & Statistics... Amy Yang 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

TV, Halftime Shows, and the Big Game

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

45 minutes Data Manipulation, Data Visualization... Erin LaBrecque Project guided

TV, Halftime Shows, and the Big Game

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

Bad passwords and the NIST guidelines

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

45 minutes Case Studies Rasmus Bååth Project guided

Health Survey Data Analysis of BMI

Analyze health survey data to determine how BMI is associated with physical activity and smoking.

45 minutes Data Manipulation, Probability & Statistics... Jessica Minnier Project guided

Trends in Maryland Crime Rates

Apply hierarchical and mixed-effect models to analyze Maryland crime rates.

45 minutes Data Manipulation, Data Visualization... Richard Erickson Project guided

Are You Ready for the Zombie Apocalypse?

Use your logistic regression skills to protect people from becoming zombies!

45 minutes Data Manipulation, Data Visualization... Jenine Harris Project guided

The Impact of Climate Change on Birds

Predict the impact of climate change on bird distributions using spatial data and machine learning.

45 minutes Data Manipulation, Data Visualization... Laurens Geffert 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

Clustering Bustabit Gambling Behavior

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

45 minutes Data Manipulation, Data Visualization... Eric Hare Project guided

Planning Public Policy in Argentina

Apply unsupervised learning techniques to help plan an education program in Argentina.

45 minutes Data Manipulation, Data Visualization... Rafael La Buonora Project guided

Phyllotaxis: Draw Flowers Using Mathematics

Use R to make art and create imaginary flowers inspired by nature.

45 minutes Data Visualization, Case Studies Antonio Sánchez Chinchón Project guided

The Android App Market on Google Play

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

Data Science for Social Good: Crime Study

Use data science to catch criminals, plus find new ways to volunteer personal time for social good.

45 minutes Data Manipulation, Data Visualization... William Connell 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

Degrees That Pay You Back

Explore the salary potential of college majors with a k-means cluster analysis.

45 minutes Data Manipulation, Data Visualization... Jaclyn Burge Project guided

Introduction to DataCamp Projects

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

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

Gender Bias in Graduate Admissions

Analyze admissions data from UC Berkeley and find out if the university was biased against women.

45 minutes Data Manipulation, Data Visualization... Joshua Feldman Project guided

Going Down to South Park: A Text Analysis

Analyze the dialog and IMDB ratings of 287 South Park episodes. Warning: contains explicit language.

45 minutes Data Manipulation, Data Visualization... Patrik Drhlík Project guided

Predicting Credit Card Approvals

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

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

Clustering Heart Disease Patient Data

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

45 minutes Data Manipulation, Data Visualization... Megan Robertson Project guided

Where Are the Fishes?

Explore acoustic backscatter data to find fish in the U.S. Atlantic Ocean.

45 minutes Data Manipulation, Data Visualization... Erin LaBrecque Project guided

Up and Down With the Kardashians

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

Functions for Food Price Forecasts

Write functions to forecast time series of food prices in Rwanda.

45 minutes Data Manipulation, Data Visualization... Richie Cotton Project guided

A Text Analysis of Trump's Tweets

Apply text mining to Donald Trump's tweets to confirm if he writes the (angrier) Android half.

45 minutes Data Manipulation, Data Visualization... David Robinson 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

Predict Taxi Fares with Random Forests

Use regression trees and random forests to find places where New York taxi drivers earn the most.

45 minutes Data Visualization, Machine Learning... Robert Grant 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

Drunken Datetimes in Ames, Iowa

Apply your skills from "Working with Dates and Times in R" to breathalyzer data from Ames, Iowa.

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

Where Would You Open a Chipotle?

Create and explore interactive maps using Leaflet to determine where to open the next Chipotle.

45 minutes Data Manipulation, Data Visualization... Rich Majerus Project guided
See 31 More Results

Technology

Topic