The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

You will learn the basics of R, including imputing data, performing basic analysis, graphing, data types, control structures, and functions in R. Most courses within the specialization use the ...

Python is the top choice for data science due to its ease and powerful libraries.R and SQL are key for stats, visualization, ...

You'll spend some time with the concept of virtualization and you'll have an overview of programming techniques ... that you take Intro to data Analysis with Excel (CEBD 1300), Intro to SQL (CEWP 215) ...

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a ...

We were lectured on state of the art theories and relevant case-examples of data analysis and we were also able to apply some of this to practice by utilising R, a programming program. Prior to the ...

An undergraduate certificate in data analytics can help you transition to a data-focused role in your current industry or improve your application profile for a master’s program in data ...

Earth analytics, also known as Earth data science, is a rapidly growing field that uses data science techniques to study Earth processes and address environmental challenges. Earth data scientists use ...

This is achieved through open-source programming languages such as Python. More specific tools for data analytics, like R, can be used for statistical analysis or graphical modeling. Implementing ...