153 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

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. No coding experience or skills needed.

4 hours Programming Hillary Green-Lerman 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

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

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

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 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

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

Exploratory Data Analysis in Python

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

4 hours Probability & Statistics Allen Downey Course

Introduction to NumPy

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

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

Writing Functions in Python

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

4 hours Programming Shayne Miel 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

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

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 PySpark

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

4 hours Programming Nick Solomon Course

Machine 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

Introduction to Regression with statsmodels in Python

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

Working with Dates and Times in Python

Learn how to work with dates and times in Python.

4 hours Programming Max Shron 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

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 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

Cluster Analysis in Python

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

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

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

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

Unit Testing for Data Science in Python

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

4 hours Programming Dibya Chakravorty Course

Big Data Fundamentals with PySpark

Learn the fundamentals of working with big data with PySpark.

4 hours Programming Upendra Kumar Devisetty Course

Software Engineering for Data Scientists 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

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

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

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

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

Image Processing in Python

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

4 hours Machine Learning Rebeca Gonzalez 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

Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

4 hours Data Manipulation Maria Eugenia Inzaugarat Course

Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours Machine Learning Miguel Esteban 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 DataCamp Content Creator 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

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

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

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

Introduction to Deep Learning with PyTorch

Learn to create deep learning models with the PyTorch library.

4 hours Machine Learning Ismail Elezi Course

Reshaping Data with pandas

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

Dimensionality Reduction in Python

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

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

AI Fundamentals

Learn the fundamentals of AI. No programming experience required!

4 hours Machine Learning Nemanja Radojković Course

Writing Efficient Code with pandas

Learn efficient techniques in pandas to optimize your Python code.

4 hours Programming Leonidas Souliotis Course

Introduction to AWS Boto in Python

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

4 hours Programming Maksim Pecherskiy 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

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, Probability & Statistics... Samia Khalid 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, Probability & Statistics... 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, Probability & Statistics... 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, Machine Learning... 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

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, Machine Learning... 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, Probability & Statistics... 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, Probability & Statistics... 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, Probability & Statistics... Philippe Julien 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, Machine Learning... 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, Machine Learning... 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, Probability & Statistics... 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, Probability & Statistics... 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, Probability & Statistics... 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, Machine Learning... 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, Machine Learning... 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, Machine Learning... 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

Naïve Bees: Image Loading and Processing

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

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

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, Probability & Statistics... Rasmus Bååth Project guided

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 guided

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, Machine Learning... Lars Hulstaert Project guided

What and Where are the World's Oldest Businesses

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

45 minutes Data Manipulation Izzy Weber Project guided

Exploring the NYC Airbnb Market

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

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 guided

Investigating Netflix Movies and Guest Stars in The Office

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

Writing Functions for Product Analysis

Use coding best practices and functions to improve a script!

45 minutes Programming Lis Sulmont Project guided

Streamlining Employee Data

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

45 minutes Data Manipulation, Importing & Cleaning Data Hadrien Lacroix 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, Probability & Statistics... Lavanya Gupta 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... Lis Sulmont Project guided

Investigating Netflix Movies and Guest Stars in The Office

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

Bad Passwords and the NIST Guidelines

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

Exploring the History of Lego

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

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