{
  "college": "bakersfield-college",
  "edition": "2026-2027",
  "departmentName": "STEM",
  "id": "data-science-job-skills-certificate",
  "name": "Data Science Job Skills",
  "award": "Certificate",
  "department": "stem-stem-pathway",
  "sourceUrl": "https://bakersfield.elumenapp.com/catalog/2026-2027-Catalog/program/data-science-job-skills-certificate-summer-2025",
  "blocks": [
    {
      "kind": "text",
      "markdown": "#### Data Science Job Skills Certificate\n\nThis Job Skills Certificate will prepare students for an entry-level position in data science or data analytics. This program provides students with a foundational understanding of statistical analysis, data science concepts and techniques, and advanced processing and data forecasting using machine learning in Python. Upon completion of the required courses with at least a “C” or “P” (pass) grade in each course, the student will be eligible for a Job Skills Certificate.\n\n### Program Learning Outcomes\n\n-   1\\. Upon successful completion of the program, the student will be able to effectively implement the Python programming language to develop scripts and programs for data analysis.\n\n-   2\\. Upon successful completion of the program, the student will be able to analyze and communicate the meaning of data elements using the principles of data science and statistical analysis.\n\n-   3\\. Upon successful completion of the program, the student will be able to create machine learning algorithms that can effectively model and predict data trends.\n\n### Program Requirements"
    },
    {
      "kind": "courselist",
      "rows": [
        {
          "type": "comment",
          "text": "Data Science Job Skills Certificate: Complete all of the following",
          "units": "13-13.5"
        },
        {
          "type": "comment",
          "text": "Core Courses: Complete all of the following",
          "units": "13-13.5"
        },
        {
          "type": "course",
          "code": "COMP B55B",
          "title": "Machine Learning Using Python",
          "units": "3",
          "indent": false
        },
        {
          "type": "course",
          "code": "COMP B55A",
          "title": "Introduction to Data Science Using Python",
          "units": "3",
          "indent": false
        },
        {
          "type": "course",
          "code": "COMP B10",
          "title": "Introduction to Programming Concepts and Methodologies using Python",
          "units": "3",
          "indent": false
        },
        {
          "type": "comment",
          "text": "Statistics",
          "units": "4-4.5"
        },
        {
          "type": "course",
          "code": "STAT C1000",
          "title": "Introduction to Statistics",
          "units": "4",
          "indent": false
        },
        {
          "type": "course",
          "code": "STAT C1000E",
          "title": "Introduction to Statistics",
          "units": "4.5",
          "indent": false
        }
      ]
    }
  ]
}