<style type="text/css"> html, .reveal { background-color: #000000; font-family: "Lato"; color: #CFC7BF; } .reveal .slide-background-content { background-color: #000; } .reveal .slides section h1, .reveal .slides section h2, .reveal .slides section h3, .reveal .slides section h4, .reveal .slides section h5, .reveal .slides section h6{ font-family: "Lato"; color: #D41B2C; } </style> --- <section data-background-image="https://i.imgur.com/1TQ37c4.png" data-background-size="contain" data-background-opacity="0.2"> <h2 style="text-align: center;line-height: 700px; -webkit-text-stroke: 2px black;" class="fragment fade-left"> Northeastern University </h2> </section> --- <h3 style="color:white">Data Analytics</h3> <h3 style="color:white" class="fragment fade-left"><i>Career Accelerator</i></h3> --- h <h4>Intro Session</h4> <p class="fragment">Expectations</p> <p class="fragment">Learning Resources</p> <p class="fragment">Schedule</p> <p class="fragment">Technical Resources</p> --- <h4>Expectations</h4> --- <p><i>What we expect from you</i></p> --- <p><i>What you expect from us</i></p> --- <p><i>What you expect from each other</i></p> --- <h4>Learning Resources</h4> --- <p><i>Canvas</i></p> --- <p><i>BKSB</i></p> --- <h4>Schedule</h4> --- ![](https://i.imgur.com/XAdDFr1.png) --- <h4>Day 1</h4> <p class="fragment">Introduction and Setup</p> <p class="fragment">Intro to Data</p> <p class="fragment">Intro to Github</p> <p class="fragment"><i>Intro to Data Analysis</i></p> --- <h4>Day 2</h4> <p class="fragment">Programming Introduction</p> <p class="fragment">Python Statements</p> <p class="fragment">Python Functions</p> <p class="fragment"><i>Intro to Coding</i></p> --- <h4>Day 3</h4> <p class="fragment">NumPy Introductions</p> <p class="fragment">Pandas Introduction</p> <p class="fragment">Summative Statistics</p> <p class="fragment"><i>Intro to Statistics</i></p> --- <h4>Day 4</h4> <p class="fragment">Lookups in Sheets</p> <p class="fragment">Booleans in depth</p> <p class="fragment">Merging Pandas Data</p> <p class="fragment"><i>Intro to Statistics</i></p> --- <h4>Day 5</h4> <p class="fragment">Filtering and Visualising with Sheets</p> <p class="fragment">Data Visualization</p> <p class="fragment" style="color:#d41b2c;">Library Use & Technical Writing</p> <p class="fragment"><i>Data Design</i></p> --- ![](https://i.imgur.com/sDEvnt8.png) --- <h4>Day 6</h4> <p class="fragment">Intro to SQL with Google BigQuery</p> <p class="fragment">Filtering and Sorting</p> <p class="fragment">SQL aggregates</p> <p class="fragment"><i>Designing Databases and SQL</i></p> --- <h4>Day 7</h4> <p class="fragment">Introduction to SQL queries</p> <p class="fragment">Data Modelling</p> <p class="fragment" style="color:green;">Business Essentials</p> <p class="fragment"><i>Wrangling Data</i></p> --- <h4>Day 8</h4> <p class="fragment">Create, Insert, Update</p> <p class="fragment">Primary and Foreign keys</p> <p class="fragment" style="color:green;">Business Essentials</p> <p class="fragment"><i>Working with Databases</i></p> --- <h4>Day 9</h4> <p class="fragment">Database Reports</p> <p class="fragment">User Interfaces</p> <p class="fragment" style="color:green;">Business Essentials</p> <p class="fragment"><i>Data Ethics</i></p> --- <h4>Day 10</h4> <p class="fragment">Data Careers</p> <p class="fragment">Recap & Next Steps</p> <p class="fragment">Plenary Session</p> <p class="fragment"><i>Project Continued</i></p> --- <h4>Accelerator Studio</h4> <p class="fragment">Intro to Programming [1]</p> <p class="fragment">Statistics [1]</p> <p class="fragment">Business Fundamentals [1]</p> <p class="fragment">Intro to Analytics [2]</p> <p class="fragment">Intermediate Analytics [2]</p> <p class="fragment">Project and Portfolio Development [3]</p> --- <h4>Technical Resources</h4> --- <p><i>Salesforce</i></p> https://trailhead.salesforce.com/ --- <p><i>Tableau</i></p> https://www.tableau.com/support/releases --- <p><i>AWS</i></p> https://awsacademy.instructure.com --- <p><i>IT Help</i></p> https://service.northeastern.edu/tech --- <p><i>Github</i></p> https://www.github.com
{"metaMigratedAt":"2023-06-16T17:19:05.867Z","metaMigratedFrom":"YAML","title":"Data Analysis Career Accelerator Bootcamp","breaks":true,"slideOptions":"{\"theme\":\"black\",\"transition\":\"fade\",\"parallaxBackgroundImage\":\"\"}","contributors":"[{\"id\":\"dceb8078-7b4c-4dbb-97f5-d101feae5fc5\",\"add\":6856,\"del\":2528},{\"id\":\"0f7a35ec-f2b1-4089-943c-17d8603eb062\",\"add\":43,\"del\":0}]"}
    284 views