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My LER
  1. Programs
  2. Business Statistics

Business Statistics

Saylor Academy

Micro-CredentialCIP: 52.1302

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

Introduces statistical methods and their applications in business decision-making.

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

No locations specified.

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1022.00

Skills

SpeakingReading ComprehensionCritical ThinkingActive ListeningActive LearningMathematicsWritingComplex Problem SolvingJudgment and Decision MakingInstructingLearning StrategiesMonitoringScience

Knowledge

MathematicsEnglish LanguageComputers and ElectronicsAdministration and ManagementCustomer and Personal ServiceEducation and TrainingMedicine and DentistryEconomics and AccountingSociology and AnthropologyEngineering and Technology

Abilities

Oral ExpressionOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningMathematical ReasoningSpeech ClarityNear VisionInformation OrderingProblem SensitivityNumber FacilitySpeech RecognitionCategory Flexibility

Tasks

  • Compile, administer, and grade examinations, or assign this work to others.
  • Evaluate and grade students' class work, assignments, and papers.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra,
  • Hire adjunct faculty.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as financial accou
  • Initiate, facilitate, and moderate classroom discussions.
  • Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, ma
  • Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets
  • Consult with clients to identify survey needs and specific requirements, such as special samples.
  • Design and validate clinical databases, including designing or testing logic checks.
  • Process clinical data, including receipt, entry, verification, or filing of information.
  • Generate data queries, based on validation checks or errors and omissions identified during data ent
  • Generate standard or custom reports summarizing business, financial, or economic data for review by
  • Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  • Manage timely flow of business intelligence information to users.
  • Troubleshoot program and system malfunctions to restore normal functioning.
  • Provide staff and users with assistance solving computer-related problems, such as malfunctions and
  • Test, maintain, and monitor computer programs and systems, including coordinating the installation o
  • Draw conclusions or make predictions, based on data summaries or statistical analyses.
  • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-e
  • Write detailed analysis plans and descriptions of analyses and findings for research protocols or re
  • Analyze and interpret statistical data to identify significant differences in relationships among so
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicabilit
  • Report results of statistical analyses, including information in the form of graphs, charts, and tab

Technology

Data base user interface and query softwareAnalytical or scientific softwareObject or component oriented development softwareComputer based training softwareCalendar and scheduling softwareWord processing softwareWeb page creation and editing softwareBusiness intelligence and data analysis softwareData mining softwareInformation retrieval or search softwareElectronic mail softwareExpert system softwareMedical softwareCategorization or classification softwareAccess softwareData base reporting softwareDocument management softwareDevelopment environment softwareStorage networking softwareCloud-based management softwareProcedure management softwareOperating system softwareData base management system software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersConference telephonesDesktop computersDigital calculatorsDigital video camerasDigital video disk DVD playersHandheld microphonesInteractive whiteboard controllersInteractive whiteboardsLaptop computersLaser facsimile machinesComputer projectorsLaser printersNotebook computersOptical character readersPersonal computersPersonal digital assistants PDAScannersTablet computersHandheld computersSmartphonesComputer serversData warehouse appliancesPhotocopiersStorage serversMainframe computers

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Mathematical Science Teachers, Postsecondary25-1022.00
  • Business Teachers, Postsecondary25-1011.00
  • Survey Researchers19-3022.00
  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Biostatisticians15-2041.01
  • Statisticians15-2041.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: emerging (Level 1)(based on Micro-Credential)

  • Undergraduate course lectures — prepare and deliver introductory presentations on topics such as calculus or linear algebra under the guidance of a supervising faculty mentor in a university classroom setting.
  • Examination materials — compile and administer assessments for lower-division mathematics courses using departmentally approved templates and rubrics under faculty supervision.
  • Student work — evaluate and grade routine homework assignments and quizzes using provided answer keys and grading guidelines in a postsecondary instructional context.
  • Course syllabi and handouts — prepare standard course materials by adapting existing departmental templates for use in an introductory undergraduate mathematics course.
  • Student attendance and grade records — maintain accurate logs using university learning management systems under the procedural guidance of senior faculty.
  • Classroom discussions — initiate and facilitate structured student exchanges on foundational mathematical concepts by following discussion protocols established by the course coordinator.
  • Office hours — maintain regularly scheduled sessions to provide academic guidance to undergraduate students in a university mathematics department.
  • Mathematical reasoning problems — apply deductive and inductive reasoning to explain standard proof techniques to students encountering formal mathematics for the first time.
  • Analytical software tools — use course-approved platforms such as MATLAB or Mathematica to demonstrate mathematical concepts during scheduled laboratory or recitation sessions.
  • Active listening and social awareness — observe student comprehension signals during lectures and adjust pacing or examples in response, under the mentorship of experienced instructors.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
100%
Placement Rate
70%