PASS BA/DS Virtual Chapters Present: “Tools for Initial Exploratory Data Analysis” June 11,
PASS Business Analytics Virtual Chapter Chapter Leader – Dan English Dan is a Microsoft SQL Server MVP, author, on the leadership team for the MN Microsoft BI User Group, and is the Business Intelligence Practice Manager at Superior Consulting Services in MN. Chapter Co-Leader – Paras Doshi Paras started out with the chapter as VP of marketing helping double the membership base in 9 months and then transitioned into his current leadership role. Paras is passionate about helping businesses extract valuable insights from data and currently works as Analytics Manager at Kiva.org PASS Business Analytics Virtual Chapter Twitter YouTube Channel
PASS Data Science Virtual Chapter Chapter Leader – Mark Tabladillo Mark is a Microsoft MVP and SAS expert. He helps teams become more confident in making actionable business decisions through the use of data mining and analytics. Mark provides training and consulting for companies in the US and around the world. He also teaches part-time with the University of Phoenix. He and blogs at PASS Business Analytics Virtual Chapter YouTube Channel
June 11 – Tools for initial exploratory data analysis Abstract We do exploratory data analysis (EDA) when we take a first look at the source data we will use in our analytics project. EDA helps us to get a good idea of the usefulness, relevance, completeness and quality of the data for our purposes and to explore patterns in the data to give us some insight. WIn this session we’ll explore a public dataset - the Titanic passenger list. Most people know the of the tragic events. The RMS Titanic sailed from Southampton on 10th April 1912, hit an iceberg in the Atlantic 4 days later and sank. Of the 2000 people on board, only 700 survived. We'll build some rough and ready visualisations and crunch some basic statistics on this dataset using 4 different tools Excel and Power Query as our benchmark, R with the ggplot2 graphics and dplyr data manipulation packages, Azure Machine Learning and the free starter edition of RapidMiner The purpose of the session is to introduce you to some tools that you may not be familiar with so that you can decide which tools you prefer for exploring and analysis data. Or you may decide to use all these tools at different times for different tasks. Presenter – Mark Wilcock is an independent consultant specialising in the analysis, reporting and visualisation of financial data. Over the last 20 years, he has worked on many systems to measure and monitor financial performance and manage market risks that arise from banking and trading activities. He is the organiser of the London Business Analytics Group ( a popular community group that holds monthly talks on topics ranging from Predictive Analytics to Power Query to Personalised Medicine. He blogs intermittently at
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Select Virtual Chapter Meetings more events and info at sqlpass.org/events VIRTUAL CHAPTERMEETINGTOPIC Global SpanishJune 01 12:00-13:00 (UTC-05:00)Descubriendo los datos espaciales en SQL Server with John Alexander Bulla Torres DBA FundamentalsJune 09 11:00-12:00 (UTC-06:00)Identifying Long Running Queries with Grant Fritchey Data ArchitectureJune 09 12:00-13:00 (UTC-06:00)Architectural components that are Critical to the success of SQL Server with Phil Hummel High Availability & Disaster Recovery June 09 12:00-13:00 (UTC-06:00)When Database Corruption Strikes with Steve Stedman Professional Development June 10 17:00-18:30 (UTC-05:00)Personal Branding: Marketing for Today’s Technology Expert with Eileen Fisher Business AnalyticsJune 11 12:00-13:00 (UTC 00:00)Tools for initial exploratory data analysis with Mark Wilcock Excel BIJune 18 12:00-13:00 (UTC-06:00)End to End Risk Assessment using PowerView with Ásgeir Gunnarson
Excel BI Virtual Chapter – Thu, Jun 18
BI Virtual Chapter – Tue, June 23
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