2019-2020 Catalog 
    
    Apr 20, 2024  
2019-2020 Catalog [ARCHIVED CATALOG]

Certificate in Data Analytics


School: California School of Management and Leadership

Modality(ies): Hybrid, on-ground, online

Calendar(s): 8-week term

CIP Code: 52.1301

Program Description/Overview


Organizations increasingly rely on data-driven decision making to help guide them strategically on a path to profitability and performance optimization. As a result, data analytics is one of the fastest growing and highest paid professions. This certificate is designed to enable you to tell data driven stories, tell them right, and tell them right now. The courses in this data analytics certification program enable learners with limited or no statistical background to succeed in this emerging field. It also helps current data analysts to enhance and augment their existing skill sets through statistical and scientific methods for data analysis. From data gathering to advanced observation and recommendation level support, you will be prepared to extract, transform, and load data into actionable and compelling data-driven stories that drive key performance across functions.

Students can transfer two of the certificate courses to Alliant’s Master of Science in Data Analytics  degree. The 9 credits in this graduate certificate are graduate-level and 6 of the 9 credits may be applied to CSML’s Master of Science in Data Analytics  (MSDA) degree program.

Program Learning Outcomes/Goals


  1. Better understand, visualize, and interpret data results
  2. Implement automated machine learning decision making utilizing scientific methods
  3. Apply predictive and prescriptive data analysis
  4. Effectively collect, analysis, and interpret right data
  5. Use tools to examine data to find valuable insights and opportunities
  6. Drive decision-making with relevant results and analyses that influence positive outcomes
  7. Interpret and communicate results to technical and non-technical audiences

Credit Units


Total Credit Units: 9

Total Core Credit Units: 9

Total Elective Credit Units: N/A

Total Concentration Credit Units: N/A

Curriculum Plan