Data Analytics Certificate Online


Gain the hands-on experience and technical skillset critical to the burgeoning field of data analytics. This certificate program quickly prepares you to be a valuable contributor in any organization.

Apply by: 8/1/24
Start class: 8/22/24

Program Overview

Preview the benefits of this certificate in data analytics

Providing a direct pathway to an in-demand sector, the online Data Analytics Certificate gives you project-based experience in database fundamentals, programming, visualization, mining and business intelligence. Quickly gain familiarity with Advanced Excel for Analytics, Tableau, SAS, Python, R, SQL, SAP and Oracle, and develop a work portfolio to show future employers.

This AACSB-accredited, STEM-designated program is ideal for high school graduates seeking a fast entry into data analytics and college graduates who want to expand their value. Build on the skills learned in this program by sitting for the respected Oracle Certification exam or transfer credits toward the BBA in Management Information Systems online.

In this online data analytics program, you will:

  • Design and implement databases using modeling tools and SQL
  • Apply industry-standard spreadsheet software for modeling
  • Gain fundamental programming knowledge
  • Apply data storytelling for managerial decision-making
  • Gain practical experience with various data analysis tools
  • Design and implement databases using modeling tools and SQL
  • Apply industry-standard spreadsheet software for modeling
  • Gain fundamental programming knowledge
  • Apply data storytelling for managerial decision-making
  • Gain practical experience with various data analysis tools

Career outcomes for the Data Analytics Certificate include:

  • Data Analyst
  • Market Research Analyst
  • Business Analyst
  • Data Specialist
  • Data Analyst
  • Market Research Analyst
  • Business Analyst
  • Data Specialist

Also available:

Lamar University offers a variety of undergraduate degree options. Check out our other online undergraduate programs.

Total Tuition $5,652*
Duration As few as 8 months
Credit Hours 18


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Ranked among The Princeton Review’s 300 Best Business Schools, the Lamar University College of Business offers you access to a powerful business school alumni network and a business education backed by AACSB International accreditation – the gold standard of quality in business education worldwide.

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Call 866-223-7675

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Save time and money with this online program

The following is the tuition breakdown for students pursuing the Data Analytics Certificate online. Our tuition is affordable and can be paid by the course.

Financial Aid

Ready to get started on your degree program online but need help finding ways to fund your education? We can help you discover student financing sources that include grants, loans and other payment options. Learn more about financial aid here.

Tuition breakdown:

Total Tuition $5,652*
Per Credit Hour $314


Start soon and finish quickly

Our Data Analytics Certificate features multiple start dates to accommodate your busy schedule. Find the start date that works best for you and apply before the application deadline associated with it.

8 week coursesProgram Start DateApplication DeadlineDocument DeadlinePayment DueLast Class Day
Fall 18/22/248/1/248/8/248/15/2410/9/24
Fall 210/14/249/23/249/30/2410/7/2412/12/24
Spring I1/16/2512/26/241/2/251/9/253/7/25
Spring II3/17/252/24/253/3/253/10/255/7/25

Now enrolling:

Apply Date 8/1/24
Class Starts 8/22/24

Have questions or need more information about our online programs?

Ready to take the rewarding path toward earning your degree online?


Follow these steps to apply to the data analytics cert

The Data Analytics Certificate has specific requirements that applicants must meet to enroll. Please read the admission guidelines to ensure you qualify.

Admission Requirements:

  • Online Application
  • Official Transcripts

All applicants must complete an application packet, consisting of:

  • Complete online application and pay an application fee of $25
  • Submit official transcripts from all high schools, colleges and universities you have attended
  • Verify specific requirements associated with chosen degree program

High school graduates who have not attended college before are considered entering freshmen – even if they received college credit while in high school through dual credit, AP or IB programs. Transfer students with fewer than 18 hours of college credit also must meet admission requirements for entering freshmen.

Incoming freshmen must do the following to qualify for unconditional admission to Lamar University:

  • Receive a diploma from an accredited high school
  • Complete at least 14 high school credits in college preparatory courses: 4 credits in English, 3 credits in mathematics, 2 credits in laboratory sciences, 2.5 credits in social sciences (U.S. history, U.S. government, and world history or world geography) and 2.5 credits in college preparatory electives (preferably including 2 credits of foreign language)
  • Meet the test-optional admission criteria, or achieve a minimum composite score on the ACT or SAT through the secondary review criteria. (Click here for criteria)
  • Submit your high school transcripts via Trex, Speedy, Escript or as a PDF from your high school counselor to [email protected].

Students transferring from other Lamar University programs into a College of Business program must have a minimum overall 2.0 grade point average (GPA) and, if applicable, a minimum 2.0 GPA in business courses.

Students transferring from other colleges or universities into a College of Business program must:

  • Have an official copy of all college and/or university transcripts on file by application deadline
  • Be eligible to re-enter all colleges and/or universities previously attended
  • Have a cumulative GPA of at least 2.0 on a 4.0 scale for all work attempted
  • Students who transfer fewer than 18 hours must also submit and meet the entrance credentials and requirements of a first-time college student

Send all required documents to:

Lamar University Online Admissions
PO Box 10017
Beaumont, TX 77710


Submit electronically to [email protected]

Check to see if the program is offered to residents in your state before applying by clicking here.

*All applicants must submit official, sealed transcripts from each institution attended to the Admissions Office. All degrees must be from a regionally accredited institution. Lamar University Office of Admissions will no longer require or college community college transcripts for graduate applicants. Official transcripts from all other institutions will be required. However, if a department or program wishes to review a community college transcript for decision purposes, the department or program may directly request the applicant to submit the official community college transcript(s) to the Office of Admissions for processing.


Use cutting-edge software in your data analytics courses

To earn your Data Analytics Certificate, you need to complete 18 credit hours of coursework, including 6 credit hours of core courses and 12 credit hours of elective courses.

Students choose two (2) courses from list.

Duration: 8 Weeks weeks
Credit Hours: 3
Students will learn database design techniques, to design databases using a modeling tool, and will be introduced to SQL to implement and query databases using hands-on, engaging activities.
Duration: 8 Weeks weeks
Credit Hours: 3
This course engages students to analyze complex business scenarios and create a data model which is a conceptual representation of an organization’s information.  The students will learn to design a database solution for a business or organization.
Duration: 8 Weeks weeks
Credit Hours: 3
In this course, students implement database designs by creating physical databases using SQL. Basic SQL syntax and the rules for constructing valid SQL statements are introduced.

Students choose four (4) courses from list.

Duration: 8 weeks
Credit Hours: 3
This hands-on course will teach students the art of modeling to build, refine and analyze problems for decision-making. Students will use industry standard spreadsheet software for creation and analysis. topics include forecasting, linear and nonlinear optimizations and decision analysis. Projects from all business fields will be used for extensive practice and real-world applications. Prerequisites: Junior Standing

By the end of this course, students will be prepared to:

  • Identify and define problems, identify the categories of analytical methods and models and recognize the types of data
  • Describe and apply data visualization techniques of categorical and numerical variables
  • Apply data mining techniques such as hierarchical cluster analysis, k-means cluster analysis and association rule analysis
  • Apply supervised data mining techniques such as k-nearest neighbors, naive Bayes methods and decision trees
  • Formulate problems and support decision analysis using different methods. Develop and apply Monte Carlo simulation models
Duration: 8 weeks
Credit Hours: 3
This course provides a comprehensive introduction and hands-on experience in basic data visualization, visual analytics and visual data storytelling. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making in the field of business analytics. Many organizations are using analytics and visualization to make better decisions and improve customer and shareholder value. this is deemed a critical skill in business today. Prerequisites: Junior Standing

By the end of this course, students will be prepared to:

  • Interpret how to use data to summarize, visualize and develop insights
  • Effectively use optimization to support decision-making in the presence of a number of alternatives and business constraints
  • Identify, evaluate, and capture business analytic opportunities that create value
  • Explain data visualization principles and guidelines for effective analysis and presentation
  • Develop and interpret a wide range of visualizations in Tableau
  • Communicate persuasive, data-driven business insights
Duration: 8 weeks
Credit Hours: 3
This course will provide the student with fundamental programming knowledge that is used in everyday business analytics. The student will work with a high-end programming language that is well-suited for data retrieval and data analysis using data libraries. The student will first learn the fundamentals of programming such as variable declaration, language syntax, decision structures, iteration techniques, method construction, data structures and file input/output. The student will then move forward with these programming skills to work with other data manipulation libraries within that language. In addition to the technical knowledge gained, the student will also focus on how to apply these techniques to business analytics. The course will work with datasets taken from various industries including healthcare, security, entertainment, social platforms and government. the student will apply this new skill set by analyzing business issues in an individual capacity as well as working on a capstone project within a team environment in which they can showcase their analytic skills for future employers. No previous programming knowledge is required for this course. Prerequisites: Junior Standing

By the end of this course, students will be prepared to:

  • Develop simple programs with variables, statements and conditional execution
  • Construct programs with functions and iteration structures
  • Apply complex data structures to programs including strings, lists and dictionaries
  • Design panda data frames and data structures
  • Demonstrate plotting and data assembly
  • Manage missing data, tidy data and data types
  • Use text data, pandas apply and group by operations
Duration: 8 weeks
Credit Hours: 3
This course provides students with an applied approach to data mining and predictive analytics with hands-on exercises and real-world examples. Students will be introduced to the concepts, methods and techniques of data mining. Students will learn to develop predictive models and obtain business value from Big Data using specialized data mining software. Prerequisites: Junior Standing

By the end of this course, students will be prepared to:

  • Identify data science methodology
  • Explain data science methodology and relevant concepts
  • Calculate data mining techniques to perform appropriate data analysis
  • Uncover patterns and trends in data sets through hands-on analysis
  • Discuss applications of data science
Duration: 8 weeks
Credit Hours: 3
The purpose of this course is to introduce students to Business Intelligence and Analytics. business Intelligence refers to the use of computers to analyze complex information about an organization and its competitors for use in business planning and decision-making. The objective is to create timelier and higher-quality input to the decision process. This course will also provide a comprehensive overview of analytics concepts and hands-on approach to practicing those concepts with latest enterprise software solutions. Prerequisite: MISY 3310 with a minimum grade of D and Junior Standing.

By the end of this course, students will be prepared to:

  • Analyze data to generate information and knowledge that will lead to informed decisions for businesses
  • Create standard reports for business users
  • Derive insightful trends using data mining and machine learning techniques
  • Apply the latest in analytics technology in real-world case studies in the areas of entertainment, business, climate change, etc.
  • Show how business intelligence can be derived from data warehouses information technology program
  • Author enterprise dashboards that are used to summarize and visualize data in a way that supports insight into trends and “what-if” analysis in real time
Duration: 8 Weeks weeks
Credit Hours: 3
This course will provide the student the opportunity to learn about data analytics as it applies to business. Data Analytics is a topic of increasing importance for many organizations as the need for data-driven insights and recommendations grows throughout the business industry.  This course gives students an overview of data literacy and quantitative skills. This provides students practical experience with different types of data and the tools that are used to analyze it. These skills are essential for success in data-driven fields of study and in the workplace. Various software tools will be introduced to enhance students' hands-on capabilities. 

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