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MIS 2502: Data Analytics (Spring 2019)

Instructor: Zhe Deng, Section 004

DATA ANALYTICS

MIS 2502.004 ■ SPRING 2019 ■ ZHE DENG
  • Schedule
  • Announcements
  • Software
    • Setting up MySQL Workbench
    • Setting up Tableau Prep and Tableau Desktop
    • Setting up R and RStudio
  • Gradebook
  • About
    • Syllabus
    • Course Objectives and Policies
    • Evaluation and Grading
    • PRO Point Requirement
    • Instructor

Setting up R and RStudio

R is a widely-used, open source statistical analysis platform. Most programming languages share some common concepts and rules. You can learn the basic R programming with this tutorial. RStudio is an integrated development environment for R – that means it makes using R more naturally!

  • You should install both software packages – R and RStudio! Don’t just install R or your life will be difficult! 
  • Install the latest version of both R and RStudio (see below)!

We’ll be using this software to do some analytics! You can get a full copy of the software – Windows or Mac – for free!

First, download and install R:

  1. Download the installation package for R.
    • Choose the link for your operating system (Windows or MacOS).
    • If you have Windows, choose the “base” installation file. If you have a Mac, you’ll have to select the one that corresponds to your version of MacOS.
    • Either way, it will download the installation file to your computer. Double-click on the file to install it, accepting the default options.

Now download and install RStudio:

  1. Download the appropriate installer from the RStudio website.
  2. Make sure you keep track of where you save the installer.
  3. Install the software! Just accept the default settings.

After both are installed, you’re always going to run RStudio, which will use R behind the scenes to give you a pleasing analytics experience!

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Office Hours

  • Instructor: Zhe Deng
          Wednesdays, 15:00 – 17:00
          201 Speakman Hall
          Or by email appointment
  • ITA: David Shin
          Mondays, 15:00 – 16:30
          602 Alter Hall
          david.shin@temple.edu

 

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