Course Outline
Introduction to Data Analysis and Big Data for Government
- What Makes Big Data "Big"?
- Velocity, Volume, Variety, Veracity (VVVV)
- Limits to Traditional Data Processing for Government
- Distributed Processing for Government
- Statistical Analysis for Government
- Types of Machine Learning Analysis for Government
- Data Visualization for Government
Big Data Roles and Responsibilities for Government
- Administrators for Government
- Developers for Government
- Data Analysts for Government
Languages Used for Data Analysis in Government
- Python
- Why Python for Data Analysis in Government?
- Manipulating, processing, cleaning, and analyzing data for government purposes
Approaches to Data Analysis for Government
- Statistical Analysis for Government
- Time Series Analysis for Government
- Forecasting with Correlation and Regression Models for Government
- Inferential Statistics (Estimation) for Government
- Descriptive Statistics in Big Data Sets for Government (e.g., calculating mean)
- Machine Learning for Government
- Supervised vs. Unsupervised Learning for Government
- Classification and Clustering for Government
- Estimating Costs of Specific Methods for Government
- Filtering Techniques for Government
Big Data Infrastructure for Government
- Data Storage for Government
- Relational Databases (SQL)
- MySQL
- Postgres
- Oracle
- Understanding the Nuances of Data Storage for Government
- Hierarchical Databases
- Object-Oriented Databases
- Document-Oriented Databases
- Graph-Oriented Databases
- Other Database Types
- Relational Databases (SQL)
The Future of Big Data for Government
Summary and Next Steps for Government
Requirements
- A foundational knowledge of mathematics
- A basic understanding of programming concepts
- An overview of database systems
Target Audience
- Software developers and programmers for government
- Information technology consultants
Testimonials (3)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location