| Course | Description | Prerequisites | Units / Hours |
|---|---|---|---|
| CS M10R | INTRODUCTION TO R PROGRAMMING | Prerequisites |
—AND—
| Course | Description | Prerequisites | Units / Hours |
|---|---|---|---|
| CS M10P | INTRODUCTION TO COMPUTER PROGRAMMING USING PYTHON LANGUAGE | - n/a |
Tip: The data in this course is specific to the context of the program map. In some other maps, course note, course type, units, and hours might differ.
CS M10ML
CLOUD DATA SCIENCE AND MACHINE LEARNING
Prerequisites: MATH M15 or MATH M15H, CS M10P, CS M10R, CS M10DS Class Hours: 1 lecture, 3 lab Utilizes various cloud based Data Science tools and services available from Amazon Web Services (AWS) cloud platform to perform data science analysis and machine learning. Uses various examples of how data science and machine learning is used to process vast amounts of collected data to derive predictive analysis. Uses tools such as AWS SageMaker and Amazon Forecast and computer vision tools such as Amazon Rekognition, Amazon Ground Truth, image and video processing and other AWS data science services. Uses Natural Language processing such as Amazon Polly, Amazon Comprehend, and Amazon Translate. Uses AWS Academy Data Science and Machine Learning curriculum. Aligns to Data Science industry professional certification training. Prepares students to pass relevant AWS data science professional certification.Applies to Associate Degree. Transfer credit: CSU; UC
Prerequisites
CS M10R AND CS M10P