Advancing into Analytics: Let's Learn Python

Stringfest Analytics

Jump-start your Python coding now; read the rest later

<ul><li>Half-day Python workshop</li><li>Free ebook copy of Advancing into Analytics</li><li>Demo notes and handouts</li><li>Workshop recording</li><li>Free download of a 90-minute video course walking through all exercises from the book</li><li>Additional practice sets and exercises to complete after class</li></ul>This half-day workshop is built around my book <a href="http://stringfestanalytics.com/book/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Advancing into Analytics: From Excel to Python and R</a>. I want to give you the support and extra resources to jump into learning.Objective:By the end of this course, attendees will be able to automate tasks, create beautiful data visualizations and conduct rigorous data analysis using Python, an open source programming language. Agenda:We will be covering Chapter 10-13 of the book using additional demos, practice sets and more:<ul><li>Up and running with Python modules and data structures</li><li>Introduction to numpy and pandas</li><li>Manipulating rows and columns with pandas</li><li>Visualizing data with seaborn</li><li>Capstone: exploratory and confirmatory data analysis</li><li>Bonus! Augmenting and automating Excel with Python </li></ul>Audience:<ul><li>This workshop is designed for analysts, researchers and other professionals who frequently analyze data in their work, often in Excel. The book and workshop are built as a bridge to conduct powerful, reproducible and free analyses with Python and R.</li><li> Apart from the brief reading assignment (explained below), no prior Python coding knowledge is assumed. You should, however, be familiar with the <a href="https://stringfestanalytics.com/book/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Excel topics listed here</a>.</li></ul>Prerequisites:<ul><li>Please have Excel 2010 or greater for desktop installed prior to the workshop.</li><li>It is recommended to attend this workshop on a Windows machine.</li><li>Please read pages 161-170 before the class. The workshop will build on the rest of the Python material. <a href="https://www.anaconda.com/products/individual" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">This includes downloading the Anaconda distribution of Python on your computer.</a></li><li>You do not need to have read earlier sections of the book, but are encouraged to do so after the workshop.</li></ul>After you register:<ul><li>An ebook copy of the book will be sent to the email used to register after confirmation. </li><li>Information on all other resources will be provided during the event. </li></ul>

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Advancing into Analytics: Let's Learn Python

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