BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ChamberMaster//Event Calendar 2.0//EN
METHOD:PUBLISH
X-PUBLISHED-TTL:P3D
REFRESH-INTERVAL:P3D
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTART:20210921T010000Z
DTEND:20211001T160000Z
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
SUMMARY:Data Analytics and Visualization - Bootcamp - 9 lessons - 6 classes
DESCRIPTION:As a student of the Data Analytics and Visualization course\, you will experience project-based learning over the course of two weeks.  Your learning will include both in-person classroom time as well as additional time required for project work outside of classroom hours. \n\n \n\nThis session of the Data Analytics and Visualization course will meet September 20th   October 1st from 9am   12pm on Monday\, Wednesday\, and Friday.  Additional virtual help office hours will be available on Tuesdays and Thursdays from 9am   12pm. \n\n\n\nAs a student of the Data Analytics and Visualization course you explore an overview of data analytics and visualization and its importance in the modern workplace. During this course we will explore practical frameworks for analyzing data as we prepare to tell meaningful data stories using documents\, presentations\, and dashboards both in-person and virtually.\n\nDownload  Course Overview Here\n\n\n\nLesson 1: Introduction to Data Analytics\n\n       Topic A: What is Data Analytics?\n\n          Topic B: Types of Data Analytics\n\n          Topic B: Stages of Data Analytics\n\n          Topic C: Frameworks for Data Analytics\n\n          Topic D: Data Analysis Tools \n\n \n\nLesson 2: Introduction to Data Visualization\n\n       Topic A: What is Data Visualization\n\n          Topic B: Different Types of Data Visualization\n\n          Topic C: Data visualization process\n\n          Topic C: Creating a Visualization Toolkit\n\n          Topic D: Data Visualization Tools\n\n                              \n\nLesson 3: Telling a Story with Data\n\n       Topic A: The art of telling a story with data\n\n          Topic B: Personas and Audience Analysis\n\nTopic C: Prioritizing\, Optimizing\, and Designing the Data Story\n\n          Topic D: Using Design\, Color and Language\n\n \n\nLesson 4: Data Gathering\n\n       Topic A: Identifying Data for Analysis and Visualization\n\n          Topic B: Introduction to Data Sources\n\n          Topic C: How to Gather and Import Data\n\n          Topic D: Preparing and Cleaning Data\n\n\n\nLesson 5: Preparing Data for Visualization\n\nTopic A: Clean and Transform Data\n\nTopic B: Managing Lists of Data\n\nTopic C: Formulae\n\nTopic D: Leverage Pivot Tables\n\n \n\nLesson 6: Visualizing Data with Charts and Graphs\n\nTopic A: Choose the Right Visualization\n\nTopic B: Telling the Story with Design\n\n \n\nLesson 7: Visualizing Data using Dashboards\n\n       Topic A: Visualization Methods\n\n          Topic B: Dynamic Data                     \n\n          Topic C: Design Principles                         \n\n          Topic D: Manage User Access                  \n\n \n\nLesson 8: Visualizing Data using Presentations\n\n       Topic A: Designing Data for Presentations\n\n          Topic B: Using Motion to Visualize Data\n\n          Topic C: Effective Presentation Techniques \n\n \n\nLesson 9: Presenting Data Effectively\n\n       Topic A: Methods for Presenting Data\n\n          Topic B: Presenting Data in an in-Person Meeting\n\n          Topic C: Presenting Data in a Virtual Meeting
X-ALT-DESC;FMTTYPE=text/html:<span style="font-size:14px\;">As a student of the Data Analytics and Visualization course\, you will experience project-based learning over the course of two weeks.&nbsp\; Your learning will include both in-person classroom time as well as additional time required for project work outside of classroom hours.&nbsp\;<br />\n&nbsp\;<br />\n<span style="font-family:calibri light\,sans-serif\;">This session of the Data Analytics and Visualization course will meet September 20<sup>th</sup> &ndash\; October 1<sup>st</sup> from 9am &ndash\; 12pm on Monday\, Wednesday\, and Friday.&nbsp\; Additional virtual help office hours will be available on Tuesdays and Thursdays from 9am &ndash\; 12pm.&nbsp\;</span></span><br />\n<br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">As a student of the Data Analytics and Visualization course you explore an overview of data analytics and visualization and its importance in the modern workplace. During this course we will explore practical frameworks for analyzing data as we prepare to tell meaningful data stories using documents\, presentations\, and dashboards both in-person and virtually.<br />\n<em><strong><span style="font-size:18px\;"><a href="https://chambermaster.blob.core.windows.net/userfiles/UserFiles/chambers/1538/File/DataAnalyticsandVisualization-CourseSummary.pdf"><span style="color:#B22222\;">Download&nbsp\; Course Overview Here</span></a></span></strong></em></span></span><br />\n<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 1: Introduction to Data Analytics</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: What is Data Analytics?</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Types of Data Analytics</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Stages of Data Analytics</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: Frameworks for Data Analytics</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic D: Data Analysis Tools </span></span><br />\n&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 2: Introduction to Data Visualization</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: What is Data Visualization</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Different Types of Data Visualization</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: Data visualization process</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: Creating a Visualization Toolkit</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic D: Data Visualization Tools</span></span><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 3: Telling a Story with Data</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: The art of telling a story with data</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Personas and Audience Analysis</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic C: Prioritizing\, Optimizing\, and Designing the Data Story</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic D: Using Design\, Color and Language</span></span><br />\n&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 4: Data Gathering</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: Identifying Data for Analysis and Visualization</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Introduction to Data Sources</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: How to Gather and Import Data</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic D: Preparing and Cleaning Data</span></span><br />\n<br clear="all" />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 5: Preparing Data for Visualization</span></span></strong><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: Clean and Transform Data</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic B: Managing Lists of Data</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic C: Formulae</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic D: Leverage Pivot Tables</span></span><br />\n&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 6: Visualizing Data with Charts and Graphs</span></span></strong><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: Choose the Right Visualization</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic B: Telling the Story with Design</span></span><br />\n&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 7: Visualizing Data using Dashboards</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: Visualization Methods</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Dynamic Data&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: Design Principles&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; &nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic D: Manage User Access&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; &nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; </span></span><br />\n&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 8: Visualizing Data using Presentations</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: Designing Data for Presentations</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Using Motion to Visualize Data</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: Effective Presentation Techniques </span></span><br />\n&nbsp\;<br />\n<strong><span style="font-family:calibri light\,sans-serif\;"><span style="font-size:10.0pt\;">Lesson 9: Presenting Data Effectively</span></span></strong><br />\n&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; <span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">Topic A: Methods for Presenting Data</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic B: Presenting Data in an in-Person Meeting</span></span><br />\n<span style="font-family:calibri light\,sans-serif\;"><span style="font-size:8.0pt\;">&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Topic C: Presenting Data in a Virtual Meeting</span></span><br />\n&nbsp\;
LOCATION:Ivy Tech - Hamilton County Campus 300 N. 17th Street Noblesville\, IN 46060
UID:e.1538.4574
SEQUENCE:3
DTSTAMP:20260409T035851Z
URL:https://business.noblesvillechamber.com/events/details/data-analytics-and-visualization-bootcamp-9-lessons-6-classes-4574
END:VEVENT

END:VCALENDAR