How Much Have You Spent on Amazon? Analyzing Amazon Data
How much have I spent on Amazon? That’s a scary question, but if you want to know the answer, here’s how you can find it…and a lot more!
Python API Tutorial: Getting Started with APIs
In this data science tutorial, learn about APIs by analyzing data from the international space station in this step-by-step Python API tutorial.
Pandas Tutorial: Analyzing Video Game Data with Python and Pandas
Pandas is a Python library that can make data analysis much simpler. In this tutorial, we’ll use Python and pandas to analyze video game data.
Jupyter Notebook for Beginners: A Tutorial
Use this tutorial to learn how to create your first Jupyter Notebook, important terminology, and how easily notebooks can be shared and published online.
Tutorial: Inserting Records and DataFrames Into a SQL Database
Master the art of the SQL Insert to add data to SQL and MySQL databases using SQL queries, as well as from within Python, and when using pandas.
Tutorial: Install Linux on Windows with Windows Subsystem for Linux
Here’s how to install Linux on Windows 10 machines so that you can access the Unix command line for data science workflows.
Tutorial: Advanced For Loops in Python
If you’ve already mastered the basics of iterating through Python lists, take it to the next level and learn to use for loops in pandas, numpy, and more!
Python Machine Learning Tutorial: Predicting Airbnb Prices
Learn about machine learning in Python and build your very first ML model from scratch to predict Airbnb prices using k-nearest neighbors.
Data Cleaning and Preparation for Machine Learning
Learn data cleaning for a machine learning project by cleaning and preparing loan data from LendingClub for a predictive analytics project.
R Functions Tutorial: Writing, Scoping, Vectorizing, and More!
Learn how to use R functions, including how to use built-in generic functions, how to use vectorization, and how to write your own custom functions.
How to Use If-Else Statements and Loops in R
Learn to use if-else statements, for loops, and while loops to build complex conditional programs in R, a valuable skill for aspiring data scientists and R programmers alike.
The Basics of Python For Loops: A Tutorial
Learn how to master Python for loops and statements like break and continue to iterate through lists and clean and analyze large data sets quickly.
Tutorial: Text Analysis in Python to Test a Hypothesis
Learn to do some text analysis in this Python tutorial, and test hypotheses using confidence intervals to insure your conclusions are significant.
Tutorial: Text Classification in Python Using spaCy
Learn text classification using linear regression in Python using the spaCy package in this free machine learning tutorial.
Tutorial: Introduction to Git and Github
Learn the basics of version control with Git and Github in this introductory tutorial designed to get you up and running fast.
Tutorial: Why Functions Modify Lists and Dictionaries in Python
In this beginner Python tutorial, we’ll take a look at mutable and immutable data types, and learn how to keep dictionaries and lists from being modified by our functions.
Tutorial: Poisson Regression in R
Poisson Regression can be a really useful tool if you know how and when to use it. In this tutorial we’re going to take a long look at Poisson Regression, what it is, and how R programmers can use it in the real world. Specifically, we’re going to cover:What Poisson Regression actually is and when we […]
Data Science Project: Profitable App Profiles for App Store and Google Play
Learn to do a complete data analysis project using only basic Python to find out what genre of apps an app developer should focus on.
Tutorial: Advanced Jupyter Notebooks
you’re doing data science in Python, notebooks are a powerful tool. This free Jupyter Notebooks tutorial has will help you get the best out of Jupyter.
Historic Wildfire Data: Exploratory Visualization in R
In recent weeks, news of the devastating wildfires sweeping parts of the US state of California have featured prominently in the news. While most wildfires are started accidentally by humans, weather conditions like wind and drought can exacerbate fires’ spread and intensity. Improved understanding of historical wildfire trends and causes can inform fire management and […]