Hands-on short-course on Data Analysis

Goal:

The Data Analysis workshop encompasses a set of data mining techniques aimed at extracting knowledge from data. The process of knowledge extraction includes exploratory data analysis, preprocessing and prediction. This short course is contextualized using the R language.

Proposal:

  1. Introduction
  2. Basics of R
  3. Exploratory data analysis
  4. Data Preprocessing
  5. Regression

Slides

Code examples:

About Eduardo Ogasawara
I am a Professor of the Computer Science Department of the Federal Center for Technological Education of Rio de Janeiro (CEFET / RJ) since 2010. I hold a PhD in Systems Engineering and Computer Science at COPPE / UFRJ. Between 2000 and 2007 I worked in the Information Technology (IT) field where I acquired extensive experience in workflows and project management. I have solid background in the Databases and my primary interest is Data Science. He currently studies space-time series, parallel and distributed processing, and data preprocessing methods. I am a member of the IEEE, ACM, INNS, and SBC. Throughout my career I have been presenting consistent number of published articles and projects approved by the funding agencies, such as CNPq and FAPERJ. I am also reviewer of several international journals, such as VLDB Journal, IEEE Transactions on Service Computing and The Journal of Systems and Software. Currently, I am heading the Post-Graduate Program in Computer Science (PPCIC) of CEFET / RJ.

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