TDJF 101: Introduction to Data Technology Careers

Ten Modules. The New Data Economy: Data as the Engine of Economic Growth. The rules of competition in the data economy. Machine Learning and Artificial Intelligence. Programming languages and Cloud Computing. Examples of companies that have used data technology for competitive advantage. No prerequisite.

TDJF 201: Introduction to Python Programming

Six modules. Command Line Interface (Windows or Mac Operating Systems), Variables, expressions, statements, conditional execution, functions, loops and iterations. Suggested prerequisite: TDJF 101.

TDJF 202: Python Data Structures

Six Modules. Strings, Files, Lists, Tuples and Dictionaries and Regular Expressions. Suggested prerequisite: TDJF 201.

TDJF 203: Python Network Programming

Six Modules. Hypertext, Web Services, Object Oriented Programming, Data Bases, Data Visualization. Suggested prerequisite: TDJF 202.

TDJF 204: Python Practicum

Begin your project portfolio by defining a real-world problem and developing a data analysis in python and creating a written report of your method and results. Suggested prerequisite: TDJF 203.

TDJF 301: Amazon Web Services Cloud Foundations

Ten Modules. Preparation for certification as an AWS Cloud Practitioner. Suggested prerequisite: TDJF 204.

TDJF 401: Internship

Hands on experience with an industry, nonprofit, or government organization. Suggested prerequisite: TDJF 401 and AWS Cloud Practitioner Certification.

TDJF 402: Amazon Web Services Practicum

Expand your project portfolio by developing and documenting an AWS application. For example, create and document a Virtual Private Cloud, containing both private and public subnets, spanning multiple availability zones with Elastic Load Balancing and Automatic Scaling. Suggested prerequisite: TDJF 301.

Planned Future Offerings

  • 400-level AWS Solutions Architect, AWS Developer, AWS Data Analytics, AWS Machine Learning