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363 Online programmes offered by the university
Introduction to Statistics in Google Sheets
In this Introduction to Statistics in Google Sheets course offered by Data Camp you will learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Supervised Learning with scikit-learn
In this Supervised Learning with scikit-learn course offered by Data Camp you will grow your machine learning skills with scikit-learn in Python.
Understanding Data Topics
In this Understanding Data Topics course offered by Data Camp you will learnv that data literacy isn't just for data specialists; it's a fundamental life skill that everyone needs.
Hierarchical and Recursive Queries in SQL Server
In this Hierarchical and Recursive Queries in SQL Server course offered by Data Camp you will learn how to write recursive queries and query hierarchical data structures.
Introduction to Data Visualization with Plotly in Python
Join the Introduction to Data Visualization with Plotly in Python course at Data Camp and create interactive data visualizations in Python using Plotly.
Practicing Coding Interview Questions in Python
In this Practicing Coding Interview Questions in Python course offered by Data Camp you will prepare for your next coding interviews in Python.
Introduction to Deep Learning with Keras
In this Introduction to Deep Learning with Keras course offered by Data Camp you will learn to start developing deep learning models with Keras.
Inference for Numerical Data in R
In this Inference for Numerical Data in R course at Data Camp, you'll learn how to use statistical techniques to make inferences and estimations using numerical data.
Importing and Managing Financial Data in R
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.
Marketing Analytics in Google Sheets
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.
Introduction to Google Sheets
In this Introduction to Google Sheets course offered by Data Camp you will bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Cleaning Data in R
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.
Data Modeling in Power BI
In this Data Modeling in Power BI course offered by Data Camp you will learn the key concepts of data modeling on Power BI.
Multivariate Probability Distributions in R
In this Multivariate Probability Distributions in R course offered by Data Camp you will learn to analyze, plot, and model multivariate data.
Generalized Linear Models 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.
Network Analysis in R
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.
Intermediate SQL
Accompanied at every step with hands-on practice queries, this Intermediate SQL course offered by Data Camp teaches you everything you need to know to analyze data using your own SQL code today
Reporting with R Markdown
In this Reporting with R Markdown course offered by Data Camp you will learn R Markdown - an easy-to-use formatting language for authoring dynamic reports from R code.
Hyperparameter Tuning in R
In this Hyperparameter Tuning in R course offered by Data Camp you will learn how to tune your model's hyperparameters to get the best predictive results.
Big Data in R
In this Big Data in R course offered by Data Camp you will work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.