Browse Lessons

Shell Tutorial: Advanced downloading using Wget

Shell Tutorial: Downloading data using Wget

Shell Tutorial: Downloading data using curl

Python Tutorial: Readability tests

Python Tutorial: Basic feature extraction

Python Tutorial: Introduction to NLP feature engineering

Python Tutorial: Fun with functions

Python Tutorial: Dive into Python

Python Tutorial: Creating variables

Python Tutorial: Data outliers and scaling

Python Tutorial: Data distributions and transformations

Python Tutorial: Handling missing data

Python Tutorial: Importing & exporting data

Python Tutorial: Plotting with pandas

Python Tutorial: Building DataFrames from scratch

Python Tutorial: Review of pandas DataFrames

Python Tutorial: Bipartite graphs

Python Tutorial: Bipartite graphs and recommendation systems

Python Tutorial: Intermediate Network Analysis in Python | Definitions & basic recap

R Tutorial: Setting the Default Map View

R Tutorial: Plotting DataCamp HQ

R Tutorial: Map Tiles

R Tutorial: Introduction to leaflet

R Tutorial: Inspecting choice data

R Tutorial: Why choice?

R Tutorial: Using choice models to make decisions

R Tutorial: Fitting and interpreting a choice model

R Tutorial: Hyperparameter tuning in caret

R Tutorial: Parameters vs hyperparameters

R Tutorial: Recap of machine learning basics

R Tutorial: Working with "Out-of-Core" Objects using the Bigmemory Project

R Tutorial: References vs. Copies

R Tutorial: What is Scalable Data Processing?

SQL Tutorial: Introduction to SQL Server

SQL Tutorial: WHERE the wild things are

SQL Tutorial: Ordering and filtering

R Tutorial: Introducing xts and zoo objects

R Tutorial: Importing, exporting and converting time series

R Tutorial: Saving and exporting xts objects

R Tutorial: Manipulating and visualizing your data

R Tutorial: Review xts fundamentals

R Tutorial: Exploring the MNIST dataset

R Tutorial: PCA and t-SNE

R Tutorial: Distance metrics

R Tutorial: Out-of-sample error measures

R Tutorial: Cross-validation

R Tutorial: Welcome to the Toolbox

R Tutorial: Review of k-means clustering