This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Perform basic analysis of data using statistical methods; 2. Perform simple inference of system parameters from measured data; 3. Perform simple performance analysis of network or switch models; 4.

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

Getting Your Data Graph-Ready After deciding on the technology and the key operational and logistical questions you want to answer with graph, your next step is to build a graph data model. This ...

Introduction to Data Analysis Using Excel . Posted by Angela Brcka for University Libraries . Are you looking to get experience with Excel for use in your projects, theses or on the job? Join Daria ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

Meanwhile, Governments are using to data to help guide policy decisions, making this a prime area for social scientists with an interest in quantitative methods. This course aims to provide an ...

Introduction Data analysis is a vital aspect of the work of an analytical scientist, and it is often facilitated by using Excel. Excel may be used to carry out the statistical analysis of data, ...

Power BI is a powerful tool for quick data analysis and visualization. Learn how to use this Microsoft tool for integrating different data files and creating quick and effective visualizations.