Data Science With SQL
and TableauCornell Certificate Program

Data teams are expected to deliver clear, trustworthy insights quickly, but that’s hard to do when you cannot reliably pull the right data from a relational database or communicate results in a way that decision makers can act on. In the Data Science With SQL and Tableau Certificate, authored by faculty from Cornell’s Center for Advanced Computing and the SC Johnson College of Business, you will build practical skill in both parts of that workflow: using SQL to query and shape data, and using Tableau and visualization best practices to present what the data means.

You will learn how relational databases are structured, why normalization matters for data integrity, and how to write SQL queries that filter, join, group, and summarize data to answer real questions. You’ll then bring those results into data visualization work, where you’ll practice choosing effective chart types for your data and audience, building professional Tableau visualizations with calculated fields and filters, and assembling dashboards and data stories that guide stakeholders through key insights.

If you want to query data with confidence, build decision-ready Tableau dashboards, and communicate insights clearly to stakeholders, you should choose Cornell’s Data Science With SQL and Tableau Certificate.

You get a structured, supported learning experience that connects database work to the way decisions actually get made on the job. Many online programs either teach SQL in isolation or focus on visualization without building a reliable data foundation. Here, you develop end-to-end capability, from designing and querying relational data to presenting it through dashboards and narrative data stories.

Cornell’s Data Science With SQL and Tableau Certificate also uses eCornell’s cohort-based learning model, where you learn alongside a small group of professionals and receive guidance from an expert facilitator. Instead of only watching videos, you practice with interactive quizzes, discussions, and multi-part course projects that mirror real analytics tasks, such as normalizing a database, writing queries that answer business questions, and building Tableau dashboards with interactivity and clear audience alignment.

Because the SQL work is grounded in relational database integrity and performance concepts like keys, indexes, normalization, and query optimization, you learn not only how to get an answer but also how to get an answer you can trust and explain. Then, in Tableau, you move past basic chart building into data preparation, calculated fields, dashboard design, and storytelling techniques that help stakeholders understand what to do next.

Enrolling in this certificate also provides you with a 6-month All-Access Pass to eCornell's live online AI Workshops, interactive sessions led by world-class Cornell faculty that combine Ivy League insight with practical applications for busy professionals. Each 3-hour Workshop features structured instruction, guided practice, and real tools to build competitive AI capabilities, plus the opportunity to connect with a global cohort of growth-oriented peers. While AI Workshops are not required, they enhance certificate programs through:

• Integrating AI perspectives across most curricula
• Responding to emerging AI developments and trends
• Offering direct engagement with Cornell faculty at the forefront of AI research

Cornell’s Data Science With SQL and Tableau Certificate is designed for professionals who want to work more effectively with data stored in relational databases and communicate insights through clear, professional visualizations and dashboards.

The Data Science With SQL and Tableau Certificate is a strong fit if you are:

• A business analyst, data analyst, or marketing analyst who needs to query data directly and deliver reporting that leaders can use
• A developer or data professional who wants stronger fundamentals in relational database design, normalization, and practical SQL querying
• A data scientist or analytics-minded professional who wants a clearer bridge between SQL outputs and Tableau-based visualization and storytelling
• A career starter who wants a structured way to build job-relevant skills in SQL and data visualization

You will be most successful if you already understand basic statistical concepts, and you should be prepared to install Tableau Desktop Public and create a Tableau Public account to complete the Tableau-based courses.

You will complete hands-on, multi-part projects that mirror how analysts work, from building and querying a database to producing Tableau visuals, dashboards, and a narrative story.

Examples of projects and practice tasks in Cornell’s Data Science With SQL and Tableau Certificate include:

• Writing and refining SQL queries in an embedded OmniDB practice environment, including SELECT queries, filters with WHERE, multi-table JOINs, aggregation with GROUP BY and HAVING, and subqueries
• Creating and modifying a relational database with SQL by defining tables, data types, primary and foreign keys, and indexes, then loading, updating, and cleaning data so it meets constraints
• Translating natural language business questions into accurate SQL queries, then validating results and considering performance trade-offs like indexing and query structure
• Critiquing and selecting visualization types based on your data, your message, and your audience, including both foundational charts and more sophisticated options
• Preparing and connecting data in Tableau, troubleshooting common data formatting and join issues, and building professional visualizations with filters and calculated fields that represent key business metrics
• Building interactive Tableau dashboards using layout best practices and interactivity (such as actions), then polishing design choices like color, spacing, and consistency
• Creating a Tableau story that sequences insights for a specific audience so stakeholders can follow the narrative from context to conclusion

Across the certificate, you practice producing work products you can adapt to your own reporting and analytics responsibilities while following guidance to obscure or avoid sharing sensitive data when applicable.

Cornell’s Data Science With SQL and Tableau Certificate equips you to turn raw relational data into decision-ready insights by combining practical SQL querying skills with Tableau visualization, dashboarding, and data storytelling.

After completing the Data Science With SQL and Tableau Certificate, you will have the skills to:

• Write SQL queries for a relational database
• Manipulate data in a relational database using SQL
• Analyze mapping visualizations tailored to data type and audience needs
• Identify best practices for advanced visualizations considering data complexity and audience comprehension
• Prepare and format data for visualization, ensuring proper data types and date alignment in Tableau

Learners frequently describe this program as a fast, practical way to build job-ready analytics skills, especially in SQL, Tableau, and data visualization. They often highlight hands-on SQL practice in an embedded database environment, a clear progression from fundamentals to more advanced querying and data relationships, and Tableau-based work that goes beyond chart building to emphasize audience, clarity, and storytelling. Learners also mention applied, workplace-relevant projects; short modular lessons; quizzes and exercises that reinforce learning; and responsive facilitators and live support opportunities. Overall, many report using what they learn immediately to improve how they work with databases, reporting, and decision making in their roles.

What truly sets eCornell apart is how our programs unlock genuine career transformation. Learners earn promotions to senior positions, enjoy meaningful salary growth, build valuable professional networks, and navigate successful career transitions.

The Data Science With SQL and Tableau Certificate, which consists of 5 short courses, is designed to be completed in 3 months. Each course in this certificate runs for 2 weeks.

Most learners should plan for a weekly time commitment in the range of about 3 to 7 hours, depending on the course and your familiarity with the topics. The SQL courses are designed for steady practice, with Tableau courses that include hands-on building.

In practice, the schedule is flexible because much of the work is asynchronous, meaning you can complete readings, videos, exercises, and projects on your own time during each course window. At the same time, the experience is structured with deadlines and facilitated discussions so you keep momentum and can learn alongside your cohort.

Students often describe Cornell’s Data Science With SQL and Tableau Certificate as a fast, practical way to build job-ready analytics skills, especially in SQL, Tableau, and data visualization. They frequently mention that the learning experience helps them move from understanding concepts to confidently applying them on real datasets, with a format that fits around full-time work.

Learners commonly highlight outcomes such as:

• Hands-on SQL practice in an embedded database environment to write and test queries quickly
• A clear progression from SQL fundamentals to more advanced querying and data relationships
• Data visualization skills that go beyond chart building to emphasize audience, clarity, and storytelling
• Tableau-based work that focuses on building dashboards and communicating insights
• Applied projects that mirror workplace tasks and reinforce learning through real scenarios
• Short lessons that make dense topics easier to absorb and retain
• Quizzes, exercises, and discussion activities that help cement new skills
• Flexible pacing that supports busy professionals while still providing structure and deadlines
• Responsive facilitators who provide guidance, feedback, and live support opportunities
• An intuitive online platform that makes it easy to stay organized and keep moving forward

Overall, students say they finish the program with a stronger ability to query, analyze, and present data, and many report using what they learned immediately to improve how they work with databases, reporting, and decision making in their roles.

You do not need prior programming experience, but you should be ready to practice regularly and think logically about how data is structured and retrieved.

In the Querying Relational Databases course, you build core foundations in relational databases and SQL, including tables and keys, normalization, and writing queries with SELECT, WHERE, JOIN, GROUP BY, and subqueries. In the Working with Data Using SQL course, you go further into creating and modifying databases and tables, loading and cleaning data, and translating real questions into SQL queries.

If you have worked with spreadsheets or reporting tools before, that can help, but Cornell’s Data Science With SQL and Tableau Certificate is designed to teach SQL from the ground up through guided examples, quizzes, and hands-on assignments in a practice environment.

In Cornell’s Data Science With SQL and Tableau Certificate, you will practice SQL in OmniDB, a browser-based environment used in the coursework so you can run queries, switch databases, and test solutions as you learn.

The SQL instruction focuses on widely used relational database concepts and a portable subset of ANSI SQL, so the query skills you practice, such as joins, filtering, grouping, and subqueries, are designed to translate to common relational database systems. The coursework also introduces practical considerations like indexes, foreign keys, and performance trade-offs when queries scale.

To complete the Tableau courses, you will need to install Tableau Desktop Public on your local device. The software is free, but you will need a Tableau Public account to download it, and you will need administrative privileges on your device to install applications.

Because Tableau Desktop Public runs on your computer, it is also important to confirm your device compatibility using Tableau’s published system requirements before you start.