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Developing Activity-Based Intelligence (ABI) Applications



Course Number



5 Days
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Equip yourself with the knowledge of how Activity-Based Intelligence (ABI) can help discover low-signature targets across big data. This advanced technical programming course provides the training needed to become an ABI full-stack developer. Gain the skills to know how to quickly turn technical needs into mission-focused software applications while faced with operational challenges.

You Will Learn How To

  • Apply contemporary analysis techniques to big data
  • Implement entity extraction techniques using Natural Language Processing (NLP)
  • Standardize and automate the creation of geotemporal and relational metadata sets
  • Implement performant spatiotemporal search strategies

Important Course Information


  • You must be a U.S. citizen to attend this training
  • Strong software development experience in at least one object-oriented programming language

Recommended Experience:

  • Prior knowledge and experience with Python

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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Exclusive Private Team Training Course

Enhance your team's effectiveness and boost productivity with this course, delivered privately to your organization or to any preferred location, including options for hybrid or all-virtual delivery via AnyWare.

This training course could be customized, and combined with other courses, to meet the specific needs of your team's training.

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Attendee Benefits

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 Learning Tree course exam on the last day of your course or online at any time after class and receive a Certificate of Achievement with the designation "Awarded with Distinction."


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. NOTE: Only live, in-class attendance qualifies for NASBA CPEs. Read more ...

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