Motivation Feb 08, 2018 Fixing Education: Motivation and Freedom People learn better when they learn what they want to, on their own terms. We believe motivation and freedom are key to education—learn more in this post.
Kaggle Jun 22, 2017 The tips and tricks I used to succeed on Kaggle Learn from the tips and tricks Vik used to rank first in Kaggle competitions.
Jobs May 01, 2017 How to become a data scientist Learn how to become a data scientist without taking 10000 courses.
Data Engineering Mar 15, 2017 Building An Analytics Data Pipeline In Python This tutorial teaches you to build an end to end data pipeline using Python. Use data engineering to transform website log data into usable visitor metrics.
Data Visualization Feb 09, 2017 1 tip for effective data visualization in Python Data visualization is a common way to represent tabular data in an easier to parse format. In this tutorial, you'll learn how to make effective data visualizations in Python.
Data Engineering Jan 25, 2017 What is Data Engineering? Data engineers build pipelines that prepare and transform data for data scientists. We explore what a data engineer does, and why the role is necessary.
Portfolio Jan 14, 2017 How to present your data science portfolio on GitHub Companies are increasingly looking at portfolios when making hiring decisions. Learn how to present the perfect data science portfolio on GitHub.
Motivation Jan 06, 2017 The Six Elements of the Perfect Data Science Learning Tool Learn about the key elements that the ideal data science learning tool should have to help you get a job, and what we're doing to incorporate these elements.
Jobs Dec 14, 2016 How to get a data science job Learn what you can do to get a job in data science, a new and exciting field with a shortage of skilled workers.
Pandas Dec 02, 2016 Pandas Tutorial: Data analysis with Python: Part 2 We cover how to use the groupby, aggregate, and apply methods to do advanced computations in Python.
Python Nov 17, 2016 Python Web Scraping Tutorial using BeautifulSoup Web scraping allows us to extract information from web pages. In this tutorial, you'll learn how to perform web scraping with Python.
Motivation Nov 11, 2016 I barely graduated college, and that's okay The story of how I taught myself Data Science and became inspired to build Dataquest.
Pandas Oct 25, 2016 Pandas Tutorial: Data analysis with Python: Part 1 Pandas is a Python library that can make data analysis much simpler. In this introduction, we'll walk through using pandas to load and analyze data.
Numpy Oct 18, 2016 NumPy Tutorial: Data analysis with Python This NumPy tutorial introduces key concepts and teaches you to analyze data efficiently. It includes comparing, filtering, reshaping, and combining NumPy arrays.
SQLite Oct 03, 2016 Working with SQLite Databases using Python and Pandas In this post, you'll learn to query, update, and create SQLite databases in Python. We'll also show you how to use the pandas package to speed up your workflow.
Python Sep 22, 2016 Learn Python the right way in 5 steps Python is a great language for beginners and experienced programmers. We'll teach you how to learn Python the right way in 5 easy steps.
Project Sep 13, 2016 18 places to find data sets for data science projects A collection of the best places to find free data sets for data visualization, data cleaning, machine learning, and data processing projects.
Python Sep 08, 2016 Working with streaming data: Using the Twitter API to capture tweets In this post, you'll learn how to work with streaming data for data science in Python, with an example using Twitter's API.
Portfolio Aug 12, 2016 The key to building a data science portfolio that will get you a job Companies are increasingly looking at portfolios when making hiring decisions. Learn how to build an impressive data science portfolio, with examples.
Project Jul 21, 2016 How I built a Slack bot to help me find an apartment in San Francisco Learn how to build and deploy a bot to identify the best rental properties using Craigslist, Slack, and Python.
Portfolio Jul 05, 2016 Building a data science portfolio: Machine learning project Learn how to build an end to end machine learning project—a key part of any data science portfolio.
Portfolio Jun 14, 2016 Building a Data Science Portfolio: Setting Up a Blog Learn how to show off your work by setting up a data science blog using Jupyter Notebooks, Pelican, and Github Pages.
Portfolio Jun 02, 2016 Building a data science portfolio: Storytelling with data Learn how to build the first component in a well-rounded data science portfolio by learning how to tell stories with data.
Matplotlib May 12, 2016 Matplotlib tutorial: Plotting tweets mentioning Trump, Clinton, and Sanders This matplotlib tutorial shows you how to create plots using Python and data from tweets mentioning presidential candidates.
Kaggle May 03, 2016 How to get into the top 15 of a Kaggle competition using Python Learn how to place in the top 15 of the Kaggle Expedia competition using Python, pandas, scikit-learn and more.
Python Mar 01, 2016 Python and JSON: Working with large datasets using Pandas Working with large JSON datasets can be a pain, particularly when they are too large to fit into memory. In cases like this, a combination of command line tools and Python can make
Interview Feb 19, 2016 How Rob Hipps used Dataquest to land a data analysis job Learn how Dataquest helped Rob Hipps get his data analysis career started and land a job with 3M.
Interview Feb 18, 2016 How Patrick Kennedy used Dataquest to transition into data science Learn how Dataquest helped Patrick Kennedy get into the data science world after a career as an executive.
Python Jan 11, 2016 Python for data science: Getting started Use our tutorial to get started using Python for data science. We also cover pandas, Jupyter, and Matplotlib.
Interview Dec 30, 2015 How Data Scientist Yassine Alouini keeps his skills sharp Learn how Dataquest has helped Yassine Alouini better work with and analyze data.
Interview Dec 30, 2015 How Helena Tan went from Investment Banking to Data Science Learn how Dataquest has helped Helena Tan to better understand Python and work with data.
Docker Nov 25, 2015 DigitalOcean and Docker for Data Science A tutorial on setting up DigitalOcean and Docker for data science, for a super-fast data science environment.
Docker Nov 22, 2015 Docker for Data Science: Running a Dockerized Jupyter Server A tutorial on setting up a Docker data science environment using Docker containers and the popular Jupyter Notebook.
Data Visualization Nov 12, 2015 Python data visualization: Comparing 7 tools See how 7 Python data visualization tools can be used together to perform analysis.
Machine Learning Oct 21, 2015 Machine Learning with Python: A Tutorial This tutorial gets you started using machine learning with Python, Pandas, and scikit-learn.
Python Oct 07, 2015 Python vs R: head to head data analysis Which is better — Python or R? We compare the two languages side by side and see how they perform on the same analysis steps.
Python Sep 08, 2015 Python API tutorial - An Introduction to using APIs Learn about APIs by analyzing data from the international space station in this step-by-step Python API tutorial.
Python Jul 27, 2015 K nearest neighbors in Python: A tutorial Learn how to use the k nearest neighbors technique and scikit-learn to group NBA basketball players.
Motivation Jul 14, 2015 How to Actually Learn Data Science The data science skills gap means that many people are learning or trying to learn data science. But where do you start?
NLP Jun 09, 2015 Natural Language Processing with Python Tutorial In this tutorial, you're learn how to do some basic Natural Language Processing in Python.
Python Apr 06, 2015 Python Counter Class and Probability Mass Functions This post walks you through a few applications of the Python Counter Class.
NLP Mar 17, 2015 Naive bayes: Predicting movie review sentiment In this post, we use the naive bayes algorithm to predict the sentiment of movie reviews. We'll also do some natural language processing to extract features to train the algorithm from the text of the reviews.
Python Feb 15, 2015 k-means clustering US Senators In this post, we'll explore cluster US Senators using an interactive Python environment.
Motivation Feb 09, 2015 Learning data science: A better way From recent college grads who want to branch out, to marketers looking to be more quantitative, to startup founders wanting to develop algorithms, it seems like everyone these days is interested in data.