363 Short courses offered by the university

In this Importing and Managing Financial Data in R course offered by Data Camp you will learn how to access financial data from local files as well as from internet sources.

In this Introduction to AWS Boto in Python course offered by Data Camp you will learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

In this Introduction to Deep Learning with Keras course offered by Data Camp you will learn to start developing deep learning models with Keras.

In this Cleaning Data in R course offered by Data Camp you will learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

In this Case Study - Analyzing Customer Churn in Tableau course offered by Data Camp you will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

In this Network Analysis in R course offered by Data Camp you will learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

In this Marketing Analytics in Google Sheets course offered by Data Camp you will learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

This Working with Geospatial Data in Python course offered by Data Camp  will show you how to integrate spatial data into your Python Data Science workflow.

In this Quantitative Risk Management in R course offered by Data Camp you will work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

In this Building Recommendation Engines in Python course offered by Data Camp you will learn to build recommendation engines in Python using machine learning techniques.

In this Introduction to Anomaly Detection in R course offered by Data Camp you will learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

In this Associate Data Scientist in R course offered by Data Camp you will learn how to use R for data science, from data manipulation to machine learning and gain the career-building skills you need to succeed in data science

In this Dimensionality Reduction in Python course offered by Data Camp you will understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

In this Generalized Linear Models in Python course offered by Data Camp you will extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

In this Introduction to SQL Server course offered by Data Camp you will learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

In this Intermediate Google Sheets course offered by Data Camp you will expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

In this Pandas Joins for Spreadsheet Users course offered by Data Camp you will learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

In this Mixture Models in R course offered by Data Camp you will learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

In this Error and Uncertainty in Google Sheets course offered by Data Camp you will learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

In this Practicing Statistics Interview Questions in Python course offered by Data Camp you will prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.