Santa Monica College
Computer Science 3: Introduction to Computer Systems (CID/NA) | M S Bishop, X - FA26
This is a beginning course intended for students who plan to take additional computer science courses. The course covers an introduction to programming concepts such as designing, coding and testing. Other concepts such as computer hardware, operating systems, compilers and databases are also discussed. The Internet and an introduction to cybersecurity and cloud computing are also included.
Computer Science 82A: Introduction to Data Science (CID/NA) | V T Seno, X - FA26
In this course, students will explore the field of data science and the possible career pathway that can be taken. Students will learn how the data science process can be used to address real-world problems. The course will cover a basic introduction to the key areas of data science including data acquisition and management, data modeling, analysis visualization, and data reporting. Students will be introduced to tools to analyze and visualize data for data-driven decision making.
Computer Science 82B: Principles of Data Science (CID/NA) | V T Seno, X - FA26
In this course students will focus on the data science pipeline including problem formulation, data cleaning and preprocessing, exploration of data with visualization, model prediction and inference for decision making. Students will use different software tools and programming for each step of the data science pipeline, include data exploration and transformation, algorithms for machine learning concepts such as classification, regression, and clustering. in addition, students will learn how to effectively present any findings to an audience.
This is a beginning course intended for students who plan to take additional computer science courses. The course covers an introduction to programming concepts such as designing, coding and testing. Other concepts such as computer hardware, operating systems, compilers and databases are also discussed. The Internet and an introduction to cybersecurity and cloud computing are also included.
Computer Science 82A: Introduction to Data Science (CID/NA) | V T Seno, X - FA26
In this course, students will explore the field of data science and the possible career pathway that can be taken. Students will learn how the data science process can be used to address real-world problems. The course will cover a basic introduction to the key areas of data science including data acquisition and management, data modeling, analysis visualization, and data reporting. Students will be introduced to tools to analyze and visualize data for data-driven decision making.
Computer Science 82B: Principles of Data Science (CID/NA) | V T Seno, X - FA26
In this course students will focus on the data science pipeline including problem formulation, data cleaning and preprocessing, exploration of data with visualization, model prediction and inference for decision making. Students will use different software tools and programming for each step of the data science pipeline, include data exploration and transformation, algorithms for machine learning concepts such as classification, regression, and clustering. in addition, students will learn how to effectively present any findings to an audience.