1. Why Employees Should Learn to Code
Data Analysis & Data Science
Suzanne Mulder

2. So what is ‘BIG DATA’?
So much data that it is impractical to manage with traditional software tools…. ….in other words, what qualifies as ‘BIG DATA’ is constantly changing.
From ‘Big Data: A Revolution That Will Transform How We Live, Work and Think’, Viktor Mayer-Schonberger, Kenneth Cukier

3. Our Learning Story: More ‘Technical’ Skills1
Curated ResourcesA 2
MOOC w/ Study Group 3
On-Demand Learning w/ Transparency (& limited mentorship) 4
On-Demand Learning w/ Mentorship, Projects & Original Content
lClassroom training with FOCUSED time to Learnss 5

4. Evolving Job Roles in Data
Data Wrangler Acquires, Collects, Queues, Cleans Data. Prepares data for Analysis.
Skills: Statistics, Excel, Subject Matter Expertise Data Analyst Data Scientist Data Engineer
Data Analyst
Examines data to find answers to specific business questionsD
Skills: Excel, Statistics, Data Visualization, SQL, Python, Tableau/QlikSense/Power BI, Rta Analyst Data Scientist Data Engineer
Data EngineerD
Develops, constructs, tests and maintains architectures/databases
Skills: Data Modeling, Data Architecture, Data Warehousing, SQL & NoSql, Hive, R, Python, C++ Data Scientist
Data Scientist
Creates predictive models to answer open-ended questions
Skills: Data Analyst + Machine Learning, SQL vs NoSQL, Git, UNIX, MatLab, HadoopData Scientist

5. Questions?