Introduction to Data Analysis using R
The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls and surveys of data miners are showing R’s popularity has increased substantially in recent years. R allows users to visualize data, run statistical tests, and apply machine learning algorithms.
Learn how to tackle data analysis problems using the powerful open source language R. The course will take you from learning the basics of R to using it to explore many different types of data. You will learn how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, create reusable R functions, create R models to predict expected future outcomes and more!
- Introduction to R
- Getting Started – R Console
- Data types and Structures
- Exploring and Visualizing Data
- Programming Structures, Functions and Data Relationship
Most software written today relies on relational databases such as MySQL or DB2. Within this SQL course, you will learn the basics of the relational database model and the SQL language using DB2 Express-C, the free version of IBM DB2 database server. You will learn SQL and how to create, read, update and delete data from a database. This SQL tutorial is aimed at beginners, but it will give you enough information to get you started working with databases.
Relational database concepts
Working with database objects
Inserting, updating, and deleting data
Working with multiple table