Data Structures, Data Mining with Python

Online

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 
Academic Units
2
Section Number
234PYT304
Instruction Method
Online class

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.

Access to the online course platform, Canvas, will be granted to students one business day before the scheduled start date of the course.

Students pursuing the full Python for Data Analysis Professional Concentration 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 Python for Data Analysis Professional Concentration must be completed within five years.

Refund Deadline: May 13, 2024. 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: May 13, 2024. Refunds and/or enrollment transfers will not be approved after this date.

Prerequisites

Intermediate Python (Course Number: 508128)

 

Technical Requirements

To ensure your success in this online course, please review our technical requirements page.

Discounts

Early Enroll Discount

Enroll 14 days before the course start date to save $50 on the course fee.

Info Session Discount

Attendees of UC Davis Continuing and Professional Education Information Sessions may be eligible for $100 discount on a class by entering the Coupon Code provided at the Information Session.  Contact UC Davis Continuing and Professional Education Student Services office, at (800) 752-0881, if you have questions about this discount.