This course takes a unique approach to learning Python by focusing on practical applications used by secret agents. Through hands-on projects, you will explore encryption, data analysis, and intelligence gathering techniques using Python.
Python for Secret Agents
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Create tools and solve problems using Python
Encode and extract hidden messages in images using steganography
Access and analyze live data from the web
Skills you'll gain
- Probability & Statistics
- Data Processing
- Package and Software Management
- File Transfer Protocol (FTP)
- Restful API
- Statistics
- Python Programming
- Statistical Analysis
- Open Source Technology
- JSON
- Geographic Information Systems
- Data Analysis
- Scripting
- Data Validation
- Intelligence Collection and Analysis
- Image Analysis
- Web Scraping
Details to know
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Recently updated!
January 2026
Assessments
5 assignments
Taught in English
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There are 5 modules in this course
In this section, we install Python 3.3, use pip for dependency management, and write scripts for automated data processing. Key concepts include Python's role in automation and problem-solving for espionage tasks.
What's included
2 videos11 readings1 assignment
In this section, we explore acquiring intelligence data from the web using Python, focusing on HTTP, FTP, and JSON parsing, while utilizing core data structures for organization and analysis.
What's included
1 video12 readings1 assignment
In this section, we explore image processing with Pillow and introduce steganography techniques for hiding data in images.
What's included
1 video12 readings1 assignment
In this section, we explore geocoding, the Haversine formula, and grid coding to analyze and compress geographic data for efficient location-based applications.
What's included
1 video13 readings1 assignment
In this section, we explore advanced statistical methods including mean, median, mode, standard deviation, and correlation. We implement Python techniques for data analysis and validation.
What's included
1 video7 readings1 assignment
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,