Skip to content
Program and Course Finder

Fundamentals of Data Science (CSIT 255)

Credit Course

4 credits

$122 per credit

in-county, fees apply

Blended

Provides students with an overview of the fundamentals of data science using practical techniques, tools, and programming to analyze and manipulate data to solve problems. Students work with data using the programming languages of Python and R to analyze, visualize, model, acquire, and interpret data in various formats. Course offered once a year (fall or spring).

Prerequisite(s): CSIT 154, CSIT 210 and MATH 153 or permission of the Program Director.

Sections

Grid View List View
0 Sections
Apply Filter
Reset

Spring 2025 ( Sections)

    • 12:45 - 2:35 p.m.
      MW
      Essex, ADMN 342
    • Flexible Time
      Online
    • Blended
    • 0 Available Seats
    • 01/27/2025 - 05/18/2025
    • James Braman
    • #22885

    Credit Hours: 4

    Billable Hours: 4

    Register
View More

Related Courses

Advanced Oracle

CSIT 256

Discusses PL/SQL in: application development, program constructs, application schemas, functions, subprograms, packages, triggers, dependencies,...

Introduction to Artificial Intelligence

CSIT 259

Provides an overview of the field of Artificial Intelligence (AI), exploring the foundations of machine learning, knowledge representation,...

Introduction to Machine Learning

CSIT 260

Allows students to explore current trends and techniques related to machine learning (ML), blending theoretical concepts with applied projects in...

CSIT Capstone

CSIT 265

Is a project-based course in Computer Science and Information Technology in which students demonstrate technology proficiency related to their...
View more

Ready to get started?

Take the next step and apply to CCBC. Already a CCBC student? Register now!
Apply now Registration info