Journey to MasteryBONNIE ADAMS’ JOURNEY TO BE A MASTER LEVEL DATA SCIENTIST

Course Overview for Obtaining my Master’s Degree in Business Intelligence

Month 1 MDL 510Mastery: Personal Development and Leadership

Month 2 BIN 520Foundations of Business Intelligence

Month 3 BIN 530Enterprise Data Management

Month 4 BIN 550Business Intelligence Technologies

Month 5 BIN 560Business Intelligence Analytics

Month 6 BIN 580 Data Mining

Month 7 BIN 610 Patterns and Recognition

Month 8 BIN 620Process Modeling and Analysis

Month 9 BIN 630Data Visualization and Creative Reporting

Month 10 BIN 650Business Intelligence Leadership & Communication Skills

Month 11 BIN 660Business Intelligence Case Studies

Month 12 BIN 680Business Intelligence Capstone Project

January 2016 – December 2016

Mastery: Personal Development and Leadership

Goal: This first class introduced the concept of what is to become a Master in your field of study.

Strategies/Tactics:1. Read the book Mastery by Robert Greene2. Create and define my mastery journey over the next year3. View and keep as motivational tools the following 2 videos by Randy Pausch

1. The Last Lecture: Achieving your Childhood Dreams https://www.youtube.com/watch?v=ji5_MqicxSo

2. Time Management https://www.youtube.com/watch?v=blaK_tB_KQA

Foundations of Business Intelligence

Goal: Introduce the core concepts, processes and tools of Business Intelligence. Also, learn about business process analysis.

Strategies/Tactics:1. Read the book Business Intelligence: Practices, Technologies and Management by Rajiv

Sabherwal and Irma Becerra-Fernandez

2. Learn how to use Visio – Visio Essential Training on Lynda.com http://www.lynda.com/Visio-tutorials/Visio-2016-Essential-Training/445423-2.html

3. Database Fundamentals: Core Concepts - http://www.lynda.com/SQL-Server-tutorials/Database-Fundamentals-Core-Concepts/385693-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3acore+concepts+of+business+intelligence%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

Enterprise Data Management

Goal: Introduce and understand the BI concepts of enterprise resource planning (ERP), decision support systems (DSS), supply chain management (SCM), knowledge management systems (KMS), customer relationship management (CRM) and human resources information systems (HRIS)

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all assignments2. Follow the works of the EDM (Enterprise Data Management) council and use their website for

resources and additional learning tools http://edmcouncil.org3. The Modern Enterprise Data Environment -

http://www.lynda.com/Data-management-tutorials/Building-Modern-Enterprise-Data-Roadmap/420016-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3aenterprise+data+management%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

Business Intelligence Technologies

Goal: Design and create a data warehouse

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all

assignments2. Data Warehousing Tutorial http://www.tutorialspoint.com/dwh/3. Transitioning from Data Warehousing to Big Data -

http://www.lynda.com/Hadoop-tutorials/Examining-data-warehouse-methodologies/385663/424477-4.html

Business Intelligence Analytics

Goal: Gain more understanding on analyzing data with an introduction to the Bayesian Paradigm and Bayesian statistical methods.

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all

assignments2. Buy and read the book Bayesian Data Analysis

3. Data-Analysis Fundamentals with Excel - http://www.lynda.com/Excel-tutorials/Welcome/196583/375044-4.html

Data Mining

Goal: Gain more understanding on data mining.

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all

assignments2. An Introduction to Data Mining -

http://www.thearling.com/text/dmwhite/dmwhite.htm3. Techniques and Concepts of Big Data - http://www.lynda.com/Hadoop-

tutorials/Data-mining-text-analytics/158656/190802-4.html

Patterns and Recognition

Goal: Gain more understanding on advanced data mining techniques and identifying meaningful statistical patterns and relationships in data.

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all

assignments2. Sign up and follow the website Dataversity, especially for data mining concepts -

http://www.dataversity.net/pattern-recognition-paragon-big-data-analytics/3. Understanding Big Data in Business-

http://www.lynda.com/Hadoop-tutorials/Understanding-big-data-business/158656/190776-4.html

Process Modeling and Analysis

Goal: Gain more understanding of business process modeling and analysis, change management concepts and the industry standard for Business Process Model and Notation (BPMN).

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all assignments2. Introduction to Business Process Model and Notation (BPMN) -

https://www.mooc-list.com/course/business-process-modeling-and-analysis-openhpi?static=true3. Lean Six Sigma Fundamentals - http://www.lynda.com/Business-Skills-tutorials/Lean-Six-Sigma-

Fundamentals/386880-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3aprocess+modeling+and+analysis%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

Data Visualization and Creative Reporting

Goal: Learn how to deliver data analysis through data visualizations across different mediums, with an emphasis on dashboards.

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all

assignments2. Data Visualization - http://www.sas.com/en_us/insights/big-data/data-visualization.html

the SAS institute also offers additional educational opportunities with certificates3. Data Visualization for Data Analysts - http://www.lynda.com/Excel-tutorials/Data-

Visualization-Data-Analysts/178123-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3adata+visualization%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

Business Intelligence Leadership & Communication Skills

Goal: Refine my presentation skills to deliver data visualizations across an organization.

Strategies/Tactics:1. Read the assigned course text book and all materials as well as complete all assignments2. Designing a Data Visualization - http://www.lynda.com/Illustrator-tutorials/Designing-Data-

Visualization/175720-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3adata+visualization%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

3. Interactive Data Visualization with Processing - http://www.lynda.com/Processing-tutorials/Interactive-Data-Visualization-Processing/97578-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3adata+visualization%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

Business Intelligence Case Studies

Goal: Utilize all of the skills learned in the previous courses to apply the business intelligence analytic process to a range of business problems through the use of case studies.

Strategies/Tactics:1. Read the assigned course text book or materials as well as complete all assignments2. Sign up for the Business Intelligence website and view their case studies -

http://businessintelligence.com/big-data-case-studies/3. Projecting Intelligence - http://www.lynda.com/Business-Skills-tutorials/Projecting-

Intelligence/373784-2.html?srchtrk=index%3a1%0alinktypeid%3a2%0aq%3abusiness+intelligence+case+studies%0apage%3a1%0as%3arelevance%0asa%3atrue%0aproducttypeid%3a2

Business Intelligence Capstone Project

Goal: Utilize all of the skills learned in the previous courses to present my final project in Business Intelligence.

Strategies/Tactics:1. Practice presenting my data/project to friends and coworkers that can offer

constructive feedback for improvements2. View the presentation on the future of business intelligence -

http://timoelliott.com/blog/2010/07/presentation-the-future-of-business-intelligence.html

3. Creating a PDF Presentation - http://www.lynda.com/InDesign-tutorials/Giving-presentation/144077/164373-4.html

Characteristics of a Mentor in Business Intelligence

The following are my ideal characteristics that I would look for in a mentor to help me become a master in the Business Intelligence world:

Knowledge – knowledge in the math, technology and business applications needed to be a successful data scientist

Patience – sometimes it takes me a bit to completely comprehend a new concept and the mentor needs the patience to be able to give multiple examples in a real world scenario to help me understand

Caring – the mentor will truly care about making me successful in my endeavors Trust – the mentor will build the trust between us and make sure to promote me and my work as my own

and not try to take credit for anything I accomplish Leadership Skills – the mentor will have natural leadership skills that he/she can pass on to me along with

their business knowledge Great Communicator – the mentor will have great communication skills and a high level of social

intelligence in order to present complex data analysis to a wide range of audiences

Leaders, Masters or potential Mentors to Interview in the Big Data World The following are people in the Big Data, Business Intelligence or Data Scientist world that I could interview

as additional resources: David Amerland - https://twitter.com/DavidAmerland

Business journalist, author and international speaker Lisa Arthur - https://twitter.com/lisaarthur

CMO at Teradata applications and blogger at The Economist Elizabeth Dwoskin - https://twitter.com/lizzadwoskin

The Wall Street Journal reporter Jill Dyche - https://twitter.com/jilldyche

Vice President at SAS Best Practice and best-selling business book author Balaji Padmanabhan – bp@usf.edu

Chari of the University of South Florida’s Information Systems Decision Sciences, professor Stephanie Jegelka – stefje@csail.mit.edu

Associate professor at MIT

Clubs and Organizations at Full Sail

The below are clubs or organizations I can join through Full Sail University that will help with real world experience or networking opportunities in the BI world: Full Sail Business Intelligence Face Book Group Women of Full Sail - https://orgsync.com/56208/chapter BI Masters Degree Program - https://orgsync.com/77806/groups

Professional Organizations

The below are clubs or organizations I can join that will help with real world experience or networking opportunities in the BI world: Business Intelligence – http://businessintelligence.com Women in Technology International (WITI) Tampa Bay Area Chapter -

http://www.witi.com/networks/tampa/ My company hosts events for them as well

Big Data Careers - http://www.bigdata-careers.com The Data Warehousing Institute Business Intelligence Journal -

https://tdwi.org/research/list/tdwi-business-intelligence-journal.aspx

PLN – My Personal Learning Network

I started a Personal Learning Network (PLN) by signing up for RSS Feeds and following professional organizations, media sources, leaders and company blogs through sites like Diigo and Feedly.

I plan to integrate some of these feeds directly into my work email/calendar as this is my main schedule location and where I am logged into the most.

Attend in person networking sessions in my area for some of these organizations, especially for WITI.

Visual Timeline of My Mastery Journey