162 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

Intermediate Python for Data Science

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

4 hours Programming Filip Schouwenaars 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

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 Data Engineering

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

4 hours Data Engineering Vincent Vankrunkelsven 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

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

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

Importing Data in Python (Part 1)

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

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 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

Cleaning Data in Python

This course will equip you with all the skills you need to clean your data in Python.

4 hours Importing & Cleaning Data Daniel Chen Course

Introduction to Data Visualization with Python

Learn complex data visualization techniques using Matplotlib and seaborn.

4 hours Data Visualization Team Anaconda Course

Manipulating DataFrames with pandas

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

4 hours Data Manipulation Team Anaconda Course

Importing Data in Python (Part 2)

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 PySpark

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

4 hours Programming Lore Dirick Course

Network Analysis in Python (Part 1)

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hours Probability & Statistics Eric Ma Course

Merging DataFrames with pandas

This course is all about the act of combining, or merging, DataFrames, an essential part your Data Scientist's toolbox.

4 hours Data Manipulation Team Anaconda 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

Statistical Thinking in Python (Part 2)

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

4 hours Probability & Statistics Justin Bois Course

Interactive Data Visualization with Bokeh

Learn how to create versatile and interactive data visualizations using Bokeh.

4 hours Data Visualization Team Anaconda 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

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

Object-Oriented Programming in Python

Learn the fundamentals of object-oriented programming: classes, objects, methods, inheritance, polymorphism, and others!

4 hours Programming Vicki Boykis 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

Analyzing Police Activity with pandas

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

Machine Learning for Marketing in Python

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

4 hours Machine Learning Karolis Urbonas Course

Building Chatbots in Python

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hours Machine Learning Alan Nichol Course

Introduction to Databases in Python

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

4 hours Data Manipulation Jason Myers 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 Importing & Cleaning Data Amany Mahfouz Course

Software Engineering for Data Scientists in Python

Learn all about modularity, documentation, & automated testing to help you solve Data Science problems quicker and more reliably.

4 hours Programming Adam Spannbauer 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

Machine Learning with the Experts: School Budgets

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

4 hours Case Studies Peter Bull Course

Time Series Analysis in Python

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

4 hours Probability & Statistics Rob Reider Course

Image Processing in Python

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

4 hours Machine Learning Rebeca Saraí González Guerra Course

Convolutional Neural Networks for Image Processing

Convolutional neural networks are deep learning algorithms that are particularly powerful for analysis of images.

4 hours Machine Learning Ariel Rokem 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

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

Extreme Gradient Boosting with XGBoost

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

Introduction to Matplotlib

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

4 hours Data Visualization Ariel Rokem 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 Social Media Data in Python

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

4 hours Data Manipulation Alex Hanna Course

Preprocessing for Machine Learning in Python

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

4 hours Machine Learning Sarah Guido Course

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

4 hours Machine Learning Nathan George Course

Machine Learning with PySpark

Learn how to make predictions with Apache Spark.

4 hours Machine Learning Andrew Collier Course

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

4 hours Applied Finance Michael Crabtree Course

Intro to Python for Finance

This course introduces Python for financial analysis.

4 hours Applied Finance Adina Howe Course

Big Data Fundamentals with PySpark

Learn the fundamentals of working with big data with PySpark.

4 hours Programming Upendra Kumar Devisetty Course

Dimensionality Reduction in Python

Learn to reduce dimensionality in Python.

4 hours Machine Learning Jeroen Boeye Course

Machine Learning for Time Series Data in Python

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

4 hours Machine Learning Chris Holdgraf 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Who Is Drunk and When in Ames, Iowa?

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

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

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

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

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

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

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

Generating Keywords for Google Ads

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

60 minutes Data Manipulation Elias Dabbas Project

Word Frequency in Moby Dick

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

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

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

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

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

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

The GitHub History of the Scala Language

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

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

The Hottest Topics in Machine Learning

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

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

Recreating John Snow's Ghost Map

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

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

Exploring the Evolution of Linux

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

Exploring 67 years of LEGO

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

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

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