Online Undergraduate Certificate in Data Management and Analysis

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Stand Out to Employers with Certified Skills

Data management and analysis professionals understand how various types of analysis can help organizations increase productivity, profitability, and performance. Some job responsibilities might include the following:

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Manage and prepare enterprise data for business use.

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Design a database from user requirements.

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Perform database administrator functions.

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Execute data mining and other statistical analyses.

U.S. DEPARTMENT OF EDUCATION GAINFUL EMPLOYMENT VIEW PROGRAM DISCLOSURE

What will I learn in this certificate program?

If you want to broaden your skills in data management and analysis, but you’re not ready for a full degree, the Undergraduate Certificate in Data Management and Analysis might be what you’re looking for.

Course materials cover the entire spectrum of data analytics and management including…

  • Database management
  • Statistics and SPSS
  • Data mining
  • Cloud computing
  • Big Data

If you’re interested in this undergraduate certificate, you should have a firm knowledge of basic computing skills. Specifically, you need to be able to grasp and understand new data processing and analytics concepts that relate to information systems.

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Courses in this Certificate

This 18 credit-hour, stand-alone program consists of six, three credit courses:

  • ITS400 Information Technology Project Management
    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.)
  • ITS410 Database Management
    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 SSA. Credits earned using this option will appear on transcripts with an "SSA" suffix.)
  • MIS407 Database Concepts
    The course covers the basics of relational databases, including basic terminology and concepts, database integrity, and normalization. The relational model will be examined in detail in order to appreciate database structure, integrity, and manipulation. Current relational database management systems will be explored and contrasted, as will basic relational database design and SQL programming. This course is a replacement for ITS407 as of the 2013-2014 Spring-A term. Students cannot receive credit for both these courses.
  • MIS445 Statistics in Business Analytics
    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. Statistical 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.
  • MIS450 Data Mining
    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 is performed to reinforce the concepts. (This course is also offered through CBE. Credits earned using this option will appear on transcripts with an “EX” suffix.)
  • MIS440 Cloud Computing and Big Data
    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 and big data solutions 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.

REGIONALLY ACCREDITED

Regional accreditation by the Higher Learning Commission (HLC) means your certificate comes from a top quality, trusted university.

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“My experience with CSU Global has been amazing! After clicking ”get more information” my world was changed. The Enrollment Counselor walked me through each step to make sure I was making the right choices and decisions, then helped with financial aid options and getting me enrolled in my first courses!

I wasn’t sure I could go back to school, but with the help of everyone at CSU Global, my dreams seem attainable now. I would totally recommend this online institution to anyone needing to get their bachelors or masters!”

BRANDI CARTER

B.S. in Information Technology Student

Why You Should Earn Your Online Undergraduate Certificate

In today’s evolving and unpredictable economy, stackable credentials are an important tool you can utilize immediately, while also building credits toward a full degree. With an undergraduate certificate from CSU-Global, you prove proficiency in a specific subject with your stand-alone, transcribable, nationally recognized credentials. Get promoted, switch industries, or work toward a full degree. And with our Tuition Guarantee, your affordable tuition rate won’t increase over time. Now is the time to get the career respect you deserve by increasing your market competitiveness.

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ONLINE ACCREDITED DEGREES

no set times

NO SET TIMES OR LOCATIONS

monthly starts

MONTHLY CLASS START

accelerated

ACCELERATED COURSES

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Learn Valuable Skills

Add these learning outcomes to your resume as you achieve them, rather than waiting for the completion of a full degree. Employees will be impressed, and your investment in your professional future will be rewarded.

  • Compare different options of storing, manipulating, and analyzing data.
  • Create databases from design to implementation, and management.
  • Examine the purpose, context, and relevance of data analytic tools for optimized decision making.
  • Apply statistical methods, regression techniques, and machine-learning algorithms to analyze data sets.
  • Conduct data-based analysis to give results within the context of issues.

Finish Faster and For Less with Alternative Credit Options

Credit by Exam

You can get credit by taking exams for what you have already learned.

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Self-Study Assessments (SSA)

CSU-Global will help you prepare to earn course credits for taking a proctored exam for specific content areas.

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CSU-Global Prior Learning Assessment (PLA)

Earn credit for what you have already learned in your career or other educational experience.

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