Data I/O and Preprocessing with Python and SQL

Tuition is $120 USD; applications close Anytime.

Data I/O and Preprocessing with Python and SQL is a non-degree program for students who want to learn about collecting and preprocessing real-world data. It's taught in English and lasts several weeks. The main advantage is handling messy data from various sources.

The curriculum includes modules on web scraping, APIs, and databases. You'll learn to extract data from websites using Pandas and Beautiful Soup, clean and preprocess text data, and parse JSON data. You'll also explore database structures and access them using SQL queries.

After completing this program, you can pursue careers like Data Analyst, Data Scientist, Business Intelligence Developer, or Data Engineer. You can work in industries such as finance, healthcare, or technology, and companies like Google, Amazon, or Microsoft may be potential employers.

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.