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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=Edge">
<meta name="description" content="BU Data Science and Analytics Website">
<meta name="keywords" content="BUDSA">
<meta name="author" content="Joshua Eimer">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<title>BUDSA</title>
<!--
Template 2085 Neuron
http://www.tooplate.com/view/2085-neuron
-->
<link rel="stylesheet" href="css/bootstrap.min.css">
<link rel="stylesheet" href="css/font-awesome.min.css">
<!-- Main css -->
<link rel="stylesheet" href="css/style.css">
<link href="https://fonts.googleapis.com/css?family=Lora|Merriweather:300,400" rel="stylesheet">
</head>
<body>
<!-- PRE LOADER -->
<div class="preloader">
<div class="sk-spinner sk-spinner-wordpress">
<span class="sk-inner-circle"></span>
</div>
</div>
<!-- Navigation section -->
<div class="navbar navbar-default navbar-static-top" role="navigation">
<div class="container">
<div class="navbar-header">
<button class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse">
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</button>
<a href="index.html" class="navbar-brand">Binghamton University Data Science and Analytics</a>
</div>
<div class="collapse navbar-collapse">
<ul class="nav navbar-nav navbar-right">
<li><a href="index.html">Home</a></li>
<li class="active"><a href="tutorials.html">Tutorials</a></li>
<li><a href="schedule.html">Schedule</a></li>
<li><a href="datathon.html">Datathon</a></li>
<li><a href="eboard.html">Executive Board</a></li>
<li><a href="contact.html">Contact Us</a></li>
<li><a href="about.html">About Us</a></li>
</ul>
</div>
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</div>
<!-- Home Section -->
<section id="home" class="main-tutorials parallax-section">
<div class="overlay"></div>
<div class="container">
<div class="row">
<div class="col-md-12 col-sm-12">
<h1> Tutorials </h1>
</div>
</div>
</div>
</div>
</section>
<!-- Tutorials -->
<section id="blog">
<div class="container">
<div class="row">
<div class="col-md-offset-1 col-md-10 col-sm-12">
<div class="blog-post-thumb">
<div class="blog-post-image">
<a href="single-post.html">
<center><img src="images/excel_access.jpg" class="img-responsive" alt="Blog Image"></center>
</a>
</div>
<div class="blog-post-title">
<h3>Excel and Access</h3>
</div>
<div class="blog-post-des">
<p>There are two ways for Binghamton University students to use excel and access for free.</p>
<ul>
<li>Go <a href="https://products.office.com/en-us/student">here</a> and enter your binghamton email address to receive a free subscription to Microsoft 360, which includes both Excel and Access.</li>
<li>Use <a href="https://www.binghamton.edu/its/software/virtual-desktop.html">BingView</a> to remotely log in to a PODS computer that already has Excel and Access installed.</li>
</ul>
<p>Some other good resources to use are:</p>
<ul>
<li><a href="https://support.office.com/en-IN/Excel">Microsoft Office Support</a></li>
<li><a href="https://docs.microsoft.com/en-us/dotnet/visual-basic/language-reference/">Microsoft</a></li>
<li><a href="https://www.techonthenet.com/excel/index.php">TechOnTheNet</a></li>
</ul>
</div>
</div>
<div class="blog-post-thumb">
<div class="blog-post-image">
<a href="single-post.html">
<center><img src="images/sql-database.jpg" class="img-responsive" alt="Blog Image"></center>
</a>
</div>
<div class="blog-post-title">
<h3>SQL</h3>
</div>
<div class="blog-post-des">
<p>SQL stands for "Structured Query Language" and is pronounced "sequel." SQL is a special-purpose programming language used for managing data in a relational database management system (RDBMS.) SQL is a widely used language standard and there are many implementations in use today. Her are some that you may find useful.</p>
<h3>SQLite</h3>
<p>SQLite is a light-weight, server-less, and configuration-less implementation of SQL.</p>
<p> Download MySQL from <a href="https://dev.mysql.com/downloads/mysql/">here</a>. Choose the Operating System you are on, download the MSI installer, create an Oracle account (or login), accept the terms, and then select the full package. Also, make sure to skip manual installation for packages you don't have on your computer (for example, Python and Visual Studio). The username you select will become the root directory. Finally, make sure to remember your password and then you are good to go.</p>
<p>Here are some popular SQLite management tools:</p>
<ul>
<li>SQLite Administrator</li>
<li>SQLite Manager (Firefox plug-in)</li>
<li>SQLiteStudio</li>
<li>SQL Expert</li>
</ul>
<p>Some other good resources to use are:</p>
<ul>
<li><a href="https://sqlzoo.net/">SQL Zoo/</a> (This one is really good)</li>
<li><a href="https://www.codecademy.com/learn/learn-sql">CodeCademy</a></li>
<ul>
<li>Learn SQL</li>
<li>SQL: Table Transformation</li>
<li>SQL: Analysing Business Metrics</li>
</ul>
<li><a href="https://www.w3schools.com/sql/default.asp">W3Schools</a></li>
<li><a href="http://www.dofactory.com/sql/tutorial">DoFactory</a></li>
<li><a href="https://franchise.cloud/">Franchise Cloud</a></li>
<li><a href="https://lagunita.stanford.edu/courses/DB/2014/SelfPaced/about">Lagunita Stanford</a></li>
</ul>
</div>
</div>
<div class="blog-post-thumb">
<div class="blog-post-image">
<a href="single-post.html">
<center><img src="images/python-logo.jpg" class="img-responsive" alt="Blog Image"></center>
</a>
</div>
<div class="blog-post-title">
<h3>Python and Jupyter</h3>
</div>
<div class="blog-post-des">
<h4>Anaconda</h4>
<p>Anaconda is a free distribution of Python that a large numbers of packages useful for Data Science and other fields.</p>
<p>It makes package management and deployment significantly easier.</p>
<p><a href="https://www.anaconda.com/download/">https://www.anaconda.com/download/</a></p>
<p>We recommend installing the newest version (Python 3.7 at this time.)</p>
<p>If you need to use an earlier version of Python for some specific project you can always install it in a new environment.</p>
<h4>Jupyter</h4>
<p>Anaconda also installs Jupyter, the new version of iPython notebooks newly designed to support other Data Science friendly languages such as R and Julia. (<strong>Ju</strong>lia, <strong>Pyt</strong>hon, and <strong>R</strong>)</p>
<p>Jupyter notebooks are self-contained projects with data, code, graphs, and formatted text that make it easier to show your work to others.</p>
<p>Visit <a href="https://www.codecademy.com">CodeCademy</a> and go to "Learn Python" for more information.</p>
</div>
</div>
<div class="blog-post-thumb">
<div class="blog-post-image">
<a href="single-post.html">
<center><img src="images/r-logo.jpg" class="img-responsive" alt="Blog Image"></center>
</a>
</div>
<div class="blog-post-title">
<h3>R and RStudio</h3>
</div>
<div class="blog-post-des">
<h4>Installation</h4>
<ul>
<li>Download Microsoft R Open: <a href=" https://mran.revolutionanalytics.com/open/"> https://mran.revolutionanalytics.com/open/</a></li>
<li>Run the installation with all the defaults</li>
<li>This will also download and install MKL (Math Kernal Library) which makes the math go faster on multi-core machines.</li>
<li>Download RStudio (Desktop Open Source Edition) here: <a href ="https://www.rstudio.com/products/RStudio/">https://www.rstudio.com/products/RStudio/</a></li>
<li>Install RStudio with all the defaults</li>
</ul>
<h4>Tutorials</h4>
<ul>
<li> <a href="http://tryr.codeschool.com/">Try R</a> is a good introduction to R. Installation is not required.</li>
</ul>
<h4>Another helpful resource is <a href="https://www.rstudio.com/wp-content/uploads/2016/01/rstudio-IDE-cheatsheet.pdf">RStudio</a> for more information.</h4>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Footer Section -->
<footer>
<div class="container">
<div class="row">
<div class="col-md-5 col-md-offset-1 col-sm-6">
<h3>BUDSA</h3>
<p>A professional organization dedicated to teaching and applying skills pertaining to data science.</p>
<div class="footer-copyright">
<p>Copyright © 2017 BUDSA</p>
</div>
</div>
<div class="col-md-4 col-md-offset-1 col-sm-6">
<h3>Contact Us</h3>
<p><i class="fa fa-globe"></i> 4400 Vestal Parkway East</p>
<p><i class="fa fa-phone"></i> 339-440-2855</p>
<p><i class="fa fa-save"></i> DataScience@binghamtonsa.org</p>
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<li><a href="https://github.com/budatascienceandanalytics" class="fa fa-github"></a></li>
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