Online Tableau Business and Data Analytics Certificate

Learn Data Analysis for Business

As technology continues to play a larger role in the day-to-day operations of organizations, businesses have access to more data than ever, and understanding that data is crucial to improving operations. With the LSU Online & Continuing Education Tableau Business and Data Analytics Specialist Certificate program, students will master statistical analysis of real-world data, as well as understand data management and visualization tools such as SQL and Tableau.

This certificate is made up of four certificate programs, and courses in this specialist certificate program can either be taken individually or taken together as a bundle. This certificate is made in collaboration with Tableau, so not only will students earn a professional development certificate and badge from a flagship university, but they will also have the Tableau name to prove their expertise.

Learn more about LSU Online's Tableau Business & Data Analytics Specialist Certificate to upskill or gain knowledge in the business and data analytics fields.

Explore This Program

Course Listing

This certificate is made up of four stackable programs and should be taken in the following order:

Business & Data Analytics Foundations

Introduction to Data Analytics
Statistics I: Introduction to Statistics

SQL for Analytic

SQL I: Foundations of SQL
SQL II: Applied SQL
SQL III: Database Design

Tableau

Tableau I: Foundations of Tableau
Tableau II: Data Visualization with Tableau

Statistics

Statistics II: Probability and Statistical Testing
Statistics III: Regression

Cost

If courses are purchased individually, the cost is $775 each.

Bundle and save!

If purchased as individual Certificate programs, there is a 10% bundle fee discount for each program:

Business & Data Analytics Foundations = $1,395
SQL for Analytics = $2,020
Tableau = $1,395
Statistics = $1,395

If purchased as the full Specialist Certificate program, there is a 20% bundle fee discount for a total cost of $5,580.

Payment is due prior to beginning the course.

View payment options.

Note: Prices are subject to change. Contact an Enrollment Coach to see what savings you may qualify for.

Format

If courses are purchased individually, you will have four weeks to complete the single course. If the certificate program is purchased as a bundle, you will have ten months to complete the program.

Extensions for individual courses is $95 for an additional week.

Extensions for the entire certificate program is $295 for an additional two month.

Requirements

Courses require access to high-speed Internet, email, and a web browser (Google Chrome and Mozilla Firefox recommended).

Digital Badge Details

Successful completion of all courses within the program earns you an official LSU digital badge to show off your skill sets. This badge can be used to bulk up your online résumé and showcase your expertise in the topic. Badges are distributed through Badgr. For more information on digital badges, visit the LSU digital badge page. If you have completed this program, request your badge.

Refund & Cancellation Policy

Our refund and cancellation policies vary and are subject to change.

See the most updated policies.

Potential Career Outlook

Job openings for individuals with these job titles have increased by 13% (between 2017 and 2018) annually. Source: Burning Glass Technologies.

Business Analyst
Business Management Analyst
Data Analyst
Business Intelligence Analyst

Learning Outcomes

Introduction to Data Analytics

Construct business framing applications for the analytics problem-solving process.
Apply spreadsheet software to manipulate and prepare data for analysis.
Identify insights from data using exploratory data analysis.
Communicate analysis insights to the intended audience, such as business stakeholders.

Statistics I: Introduction to Statistics

Perform exploratory data analysis and report insights using descriptive statistics and visualizations.
Perform inferential data analysis by computing confidence intervals and construct a simple predictive model.

SQL I: Foundations of SQL

Apply foundational SQL skills to summarize and describe the contents of relational databases.

SQL II: Applied SQL

Extract meaningful insights from relational databases using intermediate and advanced data manipulation language (DML) skills.

SQL III: Database Design

Design industry-standard, normalized (up to 3NF), relational database schemas using data definition language (DDL).

Tableau I: Foundations of Tableau

Build interactive tables by connecting, preparing, and customizing data in Tableau.

Tableau II: Data Visualization with Tableau

Create data visualizations, dashboards, and Tableau Stories, to communicate analytic insights to the intended business stakeholders.
Apply Tableau performance optimization to improve the speed of working with large data.

Statistics II: Probability and Statistical Testing

Perform exploratory data analysis and report insights using descriptive statistics and visualizations.
Perform inferential data analysis by computing confidence intervals and construct a simple predictive model.

Statistics III: Regression

Use linear regression to characterize relationships between variables and make predictions.
Examine correlation coefficients and residuals to determine the significance of relationships between variables.