Advance your career and stand out to employers with an Undergraduate Certificate in Data Management and Analysis.
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CSU-Global’s Undergraduate Certificate in Data Management and Analysis* teaches you best practices for managing enterprise data and preparing it for business use. With this knowledge you’ll understand the various types of analysis possible to help an organization increase its productivity, profitability, and performance, thereby making you an asset in the field.
After you’ve completed this stand-alone, transcribable, nationally recognized certificate program, you’ll be able to…
Take your career to the next level by showcasing your skills in data management with a certificate employers will respect and recognize.
* This certificate is eligible for Title IV financial aid.
The Undergraduate Certificate in Data Management and Analysis can give you the skills, knowledge, and recognized credentials you need to take your career to the next level. Continuing your education and specializing in fields like data management and analysis showcases your expertise in the field and commitment to the industry.
Like most business related fields right now, data management and analysis is growing at an above average rate according to the Bureau of Labor Statistics. While data management and analysis skills are necessary in almost all businesses, the top industries are government, scientific, and technical services.
The average salary for someone with these data management and analysis credentials is $80,110 annually, or almost $40 hourly. Earning a nationally recognized certificate can help you land these high paying roles and continue to develop your skills for long-term career success.
The Undergraduate Certificate in Data Management and Analysis, a 18 credit hour stand-alone program, is aimed at undergraduate students who are not majoring in management information systems and business analytics and would like to broaden their skills in data management and analysis.
Courses cover an entire spectrum of data analytics and management including:
Students interested in these courses should have a firm knowledge of basic computing skills including the ability to grasp and understand new data processing and analytics concepts that relate to information systems.
This course examines the basics of relational databases including basic terminology, database integrity, and normalization. The relational model is covered to appreciate database structure, integrity, and manipulation. Current relational database management systems will be explored and contrasted. Basic SQL programming assignments are included. This course is a replacement course for ITS407 as of the 2013-2014 Spring-A term. Students cannot receive credit for both these courses.
This course teaches students to design, implement, and use database management systems. Students gain a working knowledge of available software packages, concepts of query languages, software integration services, and security considerations. Students will also learn fundamentals of structured query language (SQL) in developing common queries and reports. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an "EX" suffix.)
Prepares managers to develop an IT strategy that aligns business strategy with IT infrastructure for a competitive advantage. Prepares students for the CompTIA Project+ certification. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an "EX" suffix.)
The promise of cloud computing technology to provide unlimited utility computing and storage capacity to organizations is investigated. The various types of current cloud computing services offered by the major service vendors are studied. The challenges of managing “big data” are reviewed, and the relationships of cloud computing, big data, and data mining are examined. This course is a replacement course for ITS440 as of the 2013-2014 Spring-A term. Students cannot receive credit for both these courses. Prerequisite: ITS410. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an “EX” suffix.)
A study of data analysis, data production, and statistical inference. Areas of study include: surveys and designed experiments, randomization, causation, regression, and inference using hypothesis tests. This course also explores using statistical methods for the analysis of, data for an enterprise performance and quality, effectiveness, and marketability. SPSS software will be utilized to conduct a predictive analysis, analyze the results, and document the findings. The preparation of input data for analysis from a relational database using SQL is also performed. This course is a replacement course for ITS445 as of the 2013-2014 Spring-A term. Students cannot receive credit for both these courses. Prerequisite: ITS440 or MIS440
Investigate various statistical approaches used for data mining analyses. The preparation of data suitable for analysis from an enterprise data warehouse using SQL and the documentation of results is also covered. A simple data mining analysis project using SPSS is performed to reinforce the concepts. This course is a replacement course for ITS450 as of the 2013-2014 Spring-A term. Students cannot receive credit for both these courses. Prerequisite: ITS445 or MIS445
We understand the sacrifice needed to invest in your education. Our promise to you is an affordable, high quality education with low tuition rates, no out-of-state premiums or student fees. Best of all, the CSU-Global Tuition Guarantee ensures that your tuition rates will not increase from enrollment thru graduation. Invest in your education, career, and future without breaking the bank.
With 100% online classes that start monthly, you complete your coursework when it’s most convenient for you. No set class times or locations lets you continue to work full-time, take care of your family, travel the world, or whatever else you want while you invest in your education.
Learn more about the Undergraduate Certificate in Data Management and Analysis.