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Developing Activity-Based Intelligence (ABI) Applications



Course Number



5 Days


About This Course: ABI is a methodology for technology-enabled problem solving developed by the intelligence community to discover low-signature targets across Big Data. This is a highly technical programming course that provides the skills needed to become an ABI full-stack developer. This course teaches you how to quickly turn ABI analysts technical needs into mission-focused software applications.

You Will Learn How To

  • Implement entity extraction techniques using Natural Language Processing
  • Standardize and automate the creation of geotemporal and relational metadata sets
  • Apply contemporary analysis techniques to Big Data
  • Implement performant spatiotemporal search strategies

Course Outline

  • Introduction
  • Principles of effective tactical data science
  • Role of the data science with the intelligence production cycle
  • Core fundamentals of Python
  • Gathering and Acquiring Data

File I/O

  • Geospatial data in shapefile and KML file formats using pyshp and fastkml
  • Structured and unstructured text in Microsoft Office and CSV file formats using comtypes and PDFMiner


  • Finding and accessing RESTful web services
  • Web-scraping and automated page interaction using selenium

Stream I/O

  • Creating, publishing and subscribing to message queues using ZeroMQ
  • Joining and posting to IRC channels using Willie
  • Performing Extract, Transform and Load (ETL) Operations

Geospatial Transformations

  • Coordinate format conversions between DD, DMS and MGRS using geotrans
  • Geometry type conversions between point, line, and polygon using Shapely

Textual Transformations

  • Spatial metadata extraction using OpenSextant
  • Text decomposition and named entity recognition (NER) using elasticsearch

Imagery Transformations

  • Mosaics and raster format conversion using GDAL
  • EXIF metadata extraction using exifread
  • Storing and Accessing Data

Relational Storage Strategies

  • CRUD operations with SQLite
  • Applying full-text indexing using FTS3
  • Implementing geospatial indexing using R*Trees

NoSQL storage strategies

  • CRUD operations with MongoDB and Berkeley DB
  • Geospatial and text indexes in MongoDB
  • Performing Common Analysis Methods

Statistical analysis methods

  • Linear regression techniques using NumPy
  • Time series analysis techniques using pandas
  • K-means clustering techniques using Scikit

Geospatial analysis methods

  • Distance-based buffering and filtering using Shapely
  • Kernel density estimation using Scikit

Human network analysis methods

  • Shortest and least-cost path analysis using NetworkX
  • Betweenness and closeness centrality using NetworkX
  • Displaying and Visualizing Data

GIS Visualization in QGIS and Google Earth

  • Display vector and raster representations using shapefiles and KMLs

Tabular data

  • Creating pivot tables using Microsoft Excel
  • Generating plots and charts using matplotlib
  • Deploying ABI Solutions

Client-side deployment

  • Building a Windows stand-alone tool
  • Developing a Python plug-in for QGIS

Server-side deployment

  • Creating a simple web interface using SimpleHTTPServer
  • Implementing a RESTful web service using bottlepy
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Course Schedule

Attend this live, instructor-led course In-Class.

Hassle-Free Enrollment: No advance payment required.
Tuition due 30 days after your course.

Jul 17 - 21 Herndon, VA Enroll Now

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Bring this Course to Your Organization and Train Your Entire Team
For more information, call 1-888-843-8733 or click here






Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

Free Course Exam
You can take your course exam on the last day of your course and receive a Certificate of Achievement with the designation "Awarded with Distinction."



Call 1-888-843-8733 or click here »

An experienced training advisor will happily answer any questions you may have and alert you to any tuition savings to
which you or your organization may be entitled.

Training Hours

Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm

FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will:

  • Have a record of your growth and learning results.
  • Bring proof of your progress back to your organization
  • Earn credits toward industry certifications (if applicable)
  • Make progress toward one or more Learning Tree Specialist & Expert Certifications (if applicable)

Enhance Your Credentials with Professional Certification

Learning Tree's comprehensive training and exam preparation guarantees that you will gain the knowledge and confidence to achieve professional certification and advance your career.

Earn 29 Credits from NASBA

This course qualifies for 29 CPE credits from the National Association of State Boards of Accountancy CPE program. Read more ...

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