Undergraduate Certificate in Data Management and Analysis

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. Be prepared to take on these challenges by earning your data management certificate online. 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.

Please note: Students should have a firm grasp of basic computer skills and programming prior to enrolling in this program. This includes the ability to understand new data processing and analytics concepts that relate to information systems. Please speak to an enrollment counselor for more information.

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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 the perfect option. Course materials cover the entire spectrum of data analytics and management, including:

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

Database Management
Statistics and SAS
Data Mining
Data Science with R Programming
Python Programming

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Courses in this Certificate

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

ITS320 Basic Programming
This course provides a detailed overview of fundamental programming, design, and testing concepts using Python. Students are introduced to the fundamentals of Python scripting and will become proficient in writing modular Python classes. At the core of class method development, students will write Python methods using lists, dictionaries, conditional logic, and looping controls. Recommended Prior Course: ITS310. (This course is also offered through SSA. Credits earned using this option will appear on transcripts with an “S” suffix.) Course not eligible for Prior Learning Assessment (PLA) credit.
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.
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. Course not eligible for Prior Learning Assessment (PLA) credit.

COM420 Strategic Communication of Data Analytics
This course teaches the important skills of distinguishing types of data and communicating scientific and mathematical information in presentations by visualizing data. Students will learn ways to systematically collect, analyze, and interpret data, then translate technical, data-driven information to a lay audience. Students will examine how data analytics contributes to the formulation of policy decisions and the subsequent communication to stakeholders. Students will recognize how analytics applies to return on investment (ROI) within any career or field. Students prepare presentations using narrative strategies to create compelling, interesting talks based on data.
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.)
MIS470 Data Science Foundations
This course provides an overview of the tools and techniques for analyzing data using statistics, R Programming, and SQL. Topics include data storage, linear regression, classification, linear models, tree-based learning, R programming, and SQL basic commands.

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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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“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

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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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