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  1. Programs
  3. Applied Data Analytics

Applied Data Analytics

Western Kentucky University

CertificateCIP: 30.7102

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

No description available.

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Program Pathways

Credentials this program stacks toward

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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

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Locations

Where this program is offered

  • Bowling Green, Kentucky

    1906 College Heights Blvd, Bowling Green, Kentucky, 42101-1000

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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 15-2051.02

Skills

Critical ThinkingSpeakingReading ComprehensionActive ListeningWritingActive LearningJudgment and Decision MakingComplex Problem SolvingMathematicsMonitoringScienceSystems Evaluation

Knowledge

English LanguageMathematicsComputers and ElectronicsCustomer and Personal ServiceAdministration and ManagementMedicine and DentistrySales and MarketingEngineering and TechnologyCommunications and MediaEducation and Training

Abilities

Deductive ReasoningOral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionInductive ReasoningInformation OrderingProblem SensitivitySpeech ClaritySpeech RecognitionMathematical ReasoningFluency of IdeasNear VisionCategory FlexibilityNumber Facility

Tasks

  • 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
  • Manage tracking and reporting of search-related activities and provide analyses to marketing executi
  • Optimize digital assets, such as text, graphics, or multimedia assets, for search engine optimizatio
  • Collect and analyze Web metrics, such as visits, time on site, page views per visit, transaction vol
  • Prepare reports of findings, illustrating data graphically and translating complex findings into wri
  • Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify
  • Conduct research on consumer opinions and marketing strategies, collaborating with marketing profess
  • Gather and organize information on problems or procedures.
  • Confer with personnel concerned to ensure successful functioning of newly implemented systems or pro
  • Analyze data gathered and develop solutions or alternative methods of proceeding.

Technology

Data base user interface and query softwareAnalytical or scientific softwareObject or component oriented development softwareDocument management softwareDevelopment environment softwareWeb page creation and editing softwareBusiness intelligence and data analysis softwareData mining softwareData base management system softwareWord processing softwareMedical softwareCategorization or classification softwareAccess softwareData base reporting softwareStorage networking softwareCloud-based management softwareProcedure management softwareOperating system softwareGraphics or photo imaging softwareWeb platform development softwareCustomer relationship management CRM softwareDesktop publishing software

Tools

Handheld computersLaptop computersSmartphonesComputer serversData warehouse appliancesLaser facsimile machinesPhotocopiersScannersStorage serversComputer data input scannersComputer laser printersDesktop computersMainframe computersPersonal computersPlottersDomain name servers DNSTeleconferencing equipmentVideoconferencing equipmentNotebook computersPersonal digital assistants PDATablet computersLiquid crystal display LCD video projectorsUniversal serial bus USB flash drives

Work Values

AchievementSupportRecognitionIndependenceWorking ConditionsRelationships
Career Pathways

Occupations this program prepares you for

  • Clinical Data Managers15-2051.02
  • Business Intelligence Analysts15-2051.01
  • Data Scientists15-2051.00
  • Biostatisticians15-2041.01
  • Statisticians15-2041.00
  • Search Marketing Strategists13-1161.01
  • Market Research Analysts and Marketing Specialists13-1161.00
  • Management Analysts13-1111.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certificate)

  • Clinical database structures — design and configure with reduced oversight using validated database user interface and query software for mid-sized trial protocols.
  • Data validation logic checks — develop and test independently to identify entry errors across assigned study databases in a GCP-compliant environment.
  • Data queries — generate and manage in response to validation failures, resolving discrepancies by coordinating directly with clinical site staff.
  • Project-specific data management plans — draft covering coding conventions, data transfer schedules, and database lock procedures for single-protocol studies.
  • Routine data quality metrics — monitor and report to detect deviations from standard operating procedures across ongoing data management activities.
  • Custom data collection forms — design and refine to support efficient receipt, processing, and tracking of clinical data across assigned trials.
  • Analytical and categorization software — apply to prepare formatted data sets meeting sponsor or regulatory formatting requirements with minimal direction.
  • Database lock workflows — coordinate within a study team to ensure timely completion of data cleaning and readiness for statistical analysis.
  • Performance and progress reports — prepare independently by querying databases and summarizing data entry productivity metrics for project managers.
  • Time management and task prioritization — exercise routinely to balance simultaneous data management responsibilities across multiple active study protocols.

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

Completion Rate
Not reported
Placement Rate
Not reported