Python and Pandas for Data Engineering

Tuition is $120 USD, while the application deadline is Anytime.

Python and Pandas for Data Engineering is a non-degree program for students who want to learn Python and Pandas for data engineering. It's a 1-week online program taught in English. The main advantage of this program is that it helps students learn Python and Pandas skills quickly.

The curriculum includes hands-on training with Python and Pandas. Students will learn how to work with data and develop skills in data analysis and manipulation. They will also learn how to use Python and Pandas libraries and tools.

After completing this program, students can work as Data Scientists, Data Analysts, or Business Intelligence Developers. They can also work in related jobs like Data Engineer or Quantitative Analyst. These jobs are available in industries like technology, finance, and research.

Pragmatic AI Labs is a private professional training organization based in California, founded in 2016 and led by practitioners in machine learning and MLOps. Rather than functioning as a university, it focuses on applied, hands-on instruction in AI, data engineering, cloud-native development and production workflows. The curriculum emphasizes industry tools such as cloud platforms, Python and MLOps toolchains to prepare learners for real-world engineering challenges.

Courses at Pragmatic AI Labs are designed for immediate workplace relevance, including short courses, workshops and extended modules that teach model deployment, monitoring, reproducible pipelines and scalable architectures. Instruction is often project-based, enabling participants to build portfolios, contribute to open source or complete capstone projects that showcase production-ready skills. The provider also offers corporate training and tailored programs for teams seeking to adopt modern data and ML practices.

This provider suits professionals and career changers who want practical competencies rather than academic theory, with flexible learning formats and frequent curriculum updates to reflect industry trends. Certificates, mentorship and portfolio projects help graduates demonstrate applied capabilities to employers. Prospective learners should look for course alignment with their target roles, hands-on assessments and access to instructors with current industry experience.