AI Business Analytics

An AI business analyst takes a business question all the way to a decision. They find out what leaders need, pull the data themselves with SQL, check it against a control calculation, automate recurring reports, and build dashboards that answer the manager’s question.

Build on the experience you already have with numbers. AI business analyst postings ask for experience turning data into decisions, plus skills like SQL, BI dashboards, requirements gathering, and checking AI output. If you work in finance, accounting, or reporting, the AI Business Analytics program adds those skills in 4–5 months, part-time.

It’s for office professionals with 2+ years in a business function who already turn numbers into conclusions: financial analysts, accountants, AR and AP specialists, and anyone who owns recurring reports. If AI now builds the reports you used to build, this program teaches you to own the analysis behind them.

Yes. AI Business Analytics launched in October 2026 and replaces TripleTen’s Data Analytics program.

AI is already taking over routine work in many finance teams, like reconciliations and template reports. But human judgment is still needed to decide which number matters, trace where it came from, and explain it to leadership. This program trains you on setting tasks for AI, catching its errors before anyone sees them, and bringing recommendations to team leaders.

No. You’ll learn to write SQL with an AI assistant and check every result against a control calculation. Later, you’ll analyze data in Python with AI and learn to tell a code error from a data error. If you haven’t worked much with statistics, an extra bridge module is included within your weekly study hours to bring you up to speed.

No. The program builds on your current experience, and you’ll add AI skills on top of it. Before you start, you’ll get a target list of 10–15 real job openings that you’ll work towards.

No. In these roles, experience matters more than age. Job postings ask for skills like analyzing data, explaining numbers to leadership, and knowing how an industry works, and those come with years at work. The program is built for experienced professionals, so a long career works in your favor.

A certificate won’t replace a degree where a posting requires one. What it adds is proof you can apply AI to your work: four projects with before-and-after numbers, a final project review by a manager who hires for similar roles, and a certificate listing the role requirements you closed. It takes 4–5 months part-time, compared with 1–2 years for a master’s in business analytics.

Yes. After the program, you’ll have AI skills and four projects that show how you applied them to processes like plan-vs-actual and recurring reporting, each with a before-and-after ROI number. That’s the evidence you need to make a strong case for a bigger role, at your current company or elsewhere.

Yes, and it’s often the strongest path. Your industry knowledge, like accounting or regulatory requirements, counts as experience employers ask for. In the program, you can start in the virtual company’s finance department, so your projects run on processes you already know, like plan-vs-actual and month-end close. For finance professionals, that makes AI part of the job you already understand.

The program runs online and part-time, and takes 4–5 months if you put in 10–12 hours a week, so you can keep your full-time job. If month-end or tax season gets too busy, you can pause the program once for up to 4 weeks.

You’ll work as an AI business analyst in a virtual company with 18 months of operational data. You’ll find where your team loses time, build an AI agent and test it on 200 past records, build a live dashboard on SQL data that refreshes itself, and create an AI analyst that answers another team’s questions, like “Why did my unit go over budget?”

You’ll work with SQL, Python, pandas, Power BI, Tableau, Databricks, and GitHub, plus Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, ChatGPT, and Claude. Lessons aren’t tied to one tool, so you can pick another one for your project if you can explain why it fits.

AI Business Analytics is built for people who already work with numbers. On top of your experience, it adds what AI business analyst postings ask for: requirements gathering, SQL, automated pipelines, BI dashboards, and checking AI output. Your projects run on a business function you know, and the program ends with a final project review by a manager who hires analysts.

Accountants and financial analysts use AI to draft recurring reports, explain variances, and answer questions like “Why did my unit go over budget?” The skill that matters is checking the output: tracing each number to its source and catching AI errors before they reach leadership. AI Business Analytics trains both on finance processes like plan-vs-actual and month-end close.

After the final project review, you’ll get a résumé built from your four projects with numbers, applications to specific openings through our platform, AI mock interview practice for each opening, a live mock interview with a coach before a real interview, and offer negotiation prep. Career support lasts up to 6 months after graduation.

Tuition is $9,900 upfront, in one payment or 2 or 4 payments. A monthly plan costs $15,000 total: 12 months with $500 down and $1,208 a month, or 18 months with $750 down and $792 a month. Loans through Climb, Edly, or Fortify start with $0 down. You can also ask your employer for tuition reimbursement.