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276 Online programmes offered by the university
Winning a Kaggle Competition in Python
In this Winning a Kaggle Competition in Python course offered by Data Camp you will learn how to approach and win competitions on Kaggle.
Working with Geospatial Data in Python
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.
Introduction to Apache Airflow in Python
In this Introduction to Apache Airflow in Python course offered by Data Camp you will learn how to implement and schedule data engineering workflows.
Intermediate Google Sheets
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.
Pandas Joins for Spreadsheet Users
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.
Introduction to AWS Boto in Python
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.
Dimensionality Reduction in Python
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.
Understanding Data Science
This Understanding Data Science course offered by Data Camp is an introduction to data science with no coding involved.
Intermediate Interactive Data Visualization with plotly in R
In this Intermediate Interactive Data Visualization with plotly in R course offered by Data Camp you will learn to create animated graphics and linked views entirely in R with plotly.
Introduction to R
In this Introduction to R course offered by Data Camp you will master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Introduction to MongoDB in Python
In this Introduction to MongoDB in Python course offered by Data Camp you will learn to manipulate and analyze flexibly structured data with MongoDB.
Introduction to Natural Language Processing in R
In this Introduction to Natural Language Processing in R course offered by Data Camp you will gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Fraud Detection in Python
In this Fraud Detection in Python course offered by Data Camp you will learn how to detect fraud using Python, how to resample your data in a smart way in order to tackle problems with imbalanced data
Big Data Fundamentals with PySpark
In this Big Data Fundamentals with PySpark course offered by Data Camp you will learn the fundamentals of working with big data with PySpark.
Analyzing Survey Data in R
In this Analyzing Survey Data in R course offered by Data Camp you will learn survey design using common design structures followed by visualizing and analyzing survey results.
Building Recommendation Engines in Python
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.
Introduction to Deep Learning in Python
In this Introduction to Deep Learning in Python course offered by Data Camp you will learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Introduction to SQL Server
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.
Introduction to Spark with sparklyr in R
In this Introduction to Spark with sparklyr in R course offered by Data Camp you will learn how to run big data analysis using Spark and the sparklyr package in R
Case Study - Analyzing Customer Churn in Tableau
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.