Data Structures, Data Mining with Python
Unlock new career opportunities by delving deeper into the world of data science. This online course is the final part in our Python for Data Analysis Professional Concentration and is designed for professionals looking to upskill in Python programming and web development for use in programming, marketing and business analytics.
Data Structures and Data Mining with Python will equip you with the foundational knowledge and hands on experience to build a portfolio through data engineering pipelines, data science workflows, and machine learning and deep learning operations for artificial intelligence application deployment. The course material is curated from top tech companies in the artificial intelligence sphere, allowing you to work with leading technology stacks from Amazon Web Services (AWS), Nvidia and Databricks on AWS.
Learning Outcomes
- Apply Python advanced language features to write efficient programs
- Use advanced Python data structures for efficient handling of data
- Use the RAPIDS computing framework for big data analysis and analytics
- Use machine learning and deep learning concepts in AWS, Nvidia and Databricks on AWS
Skills You’ll Gain
- Data analysis in Python
- Writing efficient programs
- Using advanced tools in Python
Section Notes
This is an online course with class materials that can be accessed throughout the week. The course is structured to move from one week to the next.
Students will receive an email with login information to access the course 1 business day before the course begins.
Students pursuing the full Professional Concentration in Python for Data Analysis must earn a grade of C or higher (not a C minus) in order for this course to count towards the requirements for the Professional Concentration. Courses applied towards the Professional Concentration in Python for Data Analysis must be completed within five years.
Refund Deadline: April 28, 2025. Refunds and/or enrollment transfers will not be approved after this date.
Enrollment Policies
Click here or visit https://cpe.ucdavis.edu/student-services/withdrawals-refunds-and-transfers to view complete enrollment policy information including details on withdrawals and transfers.
Refund Deadline: April 28, 2025. Refunds and/or enrollment transfers will not be approved after this date.
Prerequisites
Intermediate Python (Course Number: 508128)