A 2-Day Theoretical or 3-Day Hands-on TMS Experience
This workshop builds on your existing understanding of government analytics by providing additional depth in numerous areas, including broader knowledge of commercially available analytical tools; increased fluency in Data Science terms; and an overview of algorithm science and machine learning. Lessons and case studies will be linked to analysis tools available in Microsoft ™ Excel (The 3-day workshop applies the lessons in hands-on exercises in Excel.)
Course Objectives:
- What Does Industry Use?
- Databases compared: SAS, Tableau, & Oracle
- Unstructured data and Python
- Machine learning and algorithms
- What is Data Science?
- Evolution of the profession
- Ten common mistakes in using data
- How to use, and do you need, a Data Scientist?
- Intermediate Data Handling and Statistical Techniques
- Developing Pivot Tables
- Using Pivot Charts to summarize data
- Explaining charts comparing two vertical scales
- Using exotic chart types for visually compelling data
- Creating and testing a hypothesis
- Common and uncommon statistical errors
- Chi-Squared testing for randomized data
Audience: This workshop is designed to provide powerful tools for data analytics for government employees.
Toolkits: Receive a Student Handbook and Online Toolkit, containing tools such as checklist, tips, techniques, and numerous other tools to help you use your new skills immediately.
Additional Information
CPE Credits: 13.0-20.0
CEU Credits: 1.1-1.7
Required Program Prerequisites: Introduction to Analytics for Government Officials, or recent graduate-level statistics or proficiency in the Excel Analysis Tool Pack Descriptive Statistics.
Advanced Preparation: None
NASBA Program Level: Intermediate
NASBA Field of Study: Specialized Knowledge
Delivery Method: Group Live – Classroom
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