Tag: data analysis

  • Foundations of Data Analysis on EdX

    EdX will be offering Foundations of Data Analysis via the University of Texas at Austin. The course starts November 4, 2014. Here is a list of topics: Tutorials on using R Descriptive Statistics Statistical Models (Regression) Inferential Stats

  • Data Analysis Learning Path on SlideRule

    SlideRule is a new startup focused on being on online learning hub. One of the sections of the site allows experts to create “learning paths” for a topic. Well, Claudia Gold, data scientist at Airbnb, created a learning path for data science titled Data Analysis Learning Path. The learning path covers: topics, timelines, resources, and…

  • Work-Force Science

    As of yesterday, I was completely new to the term work-force science. Essentially, work-force science is data analysis applied to Human Resources. It makes more sense than the old gut feeling approach. If you want to know more, see this excellent article from the New York Times, Big Data, Trying to Build Better Workers. The…

  • Levels of Data Analysis

    The list is ordered according to the level of difficulty. Descriptive just describe the data, common for census type of data Exploratory find relationships that were not clear beforehand, useful for defining future studies, remember correlation does not imply causation Inferential use a small dataset to say something about a larger population, most common goal…

  • Free Data Analysis Textbook

    Cosma Shalizi of the Statistics Department at Carnegie Mellon University is working on an Advanced Data Analysis from an Elementary Point of View textbook. A copy of the textbook will remain freely available on the website. Since the textbook is still being created, comments are welcome.

  • Data Analysis by Data Type

    Data analysis is performed in many different fields and on many different types of data. Most fields call it something different. The following list comes straight from Jeff Leek’s Data Analysis Coursera class. Name of Data Analysis by Data Type Biostatistics for medical data Data Science for data from web analytics Machine learning for data…

  • Data Analysis at Coursera

    The Coursera Data Analysis course started yesterday. This course would be an excellent follow-up to the Computing with Data Analysis course. For a bit more about the course, check out this video explaining the content. The course consists of lectures, quizzes, and some data analysis assignments. There is still plenty of time to signup and…

  • Data Analysis Landscape

    Jeff Leak, instructor of the upcoming Coursera Data Analysis course, wrote up a nice blog post, The Landscape of Data Analysis, explaining the topics to be covered in the course. The topics look good. He also made a video explaining how data science fits in with other disciplines such as: computer science, medicine, statistics, and…

  • Computing For Data Analysis Week 1 Overview

    Week 1 of the Computing for Data Analysis course focused mostly on getting R and RStudio installed. Then it focused on some of the basics of the R language. Here are some of the topics History of R How to get help help() Data types in R numeric (real numbers) character (strings) integer (counting numbers)…

  • Coursera Computational Methods of Data Analysis Started

    The Coursera class Computational Methods of Data Analysis started yesterday. There is still plenty of time to enroll in the class. This course assumes a good familiarity with calculus, linear algebra, and some basic programming. Thus, if your math background is weak or needs a refresher, you may not want to take this course. However,…

  • Computing for Data Analysis Starts Today

    Coursera’s Computing for Data Analysis starts today. Enroll now and start learning R and data analysis.

  • In 2013, Learn Data Science via Coursera (a curriculum)

    Coursera has some excellent courses coming up in 2013. Here are some potential curriculum paths for someone looking to learn data science. Prerequisites Either sequence requires/recommends some basic programming experience. If you are unfamiliar with programming, you still have a couple weeks to get familiar with some basic programming concepts. Some good places to start…