Career Skills
IBM Data Analyst Professional Certificate: Courses, Time and Cost
IBM's data analyst program on Coursera is one of the better-known entry-level options, and it covers more Python than many beginner courses. Here is what the 11 courses include, how long Coursera says they take, how Coursera's subscription billing works, and what the certificate can and cannot do for you.
What the certificate is
The IBM Data Analyst Professional Certificate is offered by IBM on Coursera and taught by the IBM Skills Network Team and seven more instructors listed on the page. Coursera says it teaches the foundational data skills employers look for in entry-level data analytics roles, and gives a base for later paths such as data science, AI or data engineering.[1]
When you finish, you get a Professional Certificate from IBM that you can add to your LinkedIn profile, an IBM digital badge, a portfolio of projects and access to career resources for your job search.[1]
Coursera says the program is ACE and FIBAA recommended, so completers can earn up to 12 college credits and 6 ECTS credits. It also says the decision to accept a credit recommendation is up to each institution and is not guaranteed.[1]
Who it is for, and who should skip it
Coursera lists the program at beginner level with no prior experience required. Its FAQ adds that no specialized background or degree is needed, but you are expected to have basic computer literacy and high-school level mathematics, and to be comfortable working with numbers.[1]
The FAQ also points to people who want to use analytics in their current job, in industries such as banking, accounting and IT or in functions such as marketing, finance and research. It describes data analytics as an entry point to data science, data engineering and business analytics.[1]
The 11 courses
Coursera lists 11 courses with a time estimate for each. Its FAQ strongly recommends taking them in the order listed, because each builds on the one before.[1]
| Course | Coursera's time estimate |
|---|---|
| 1. Introduction to Data Analytics | 12 hours |
| 2. Excel Basics for Data Analysis | 13 hours |
| 3. Data Visualization and Dashboards with Excel and Cognos | 16 hours |
| 4. Python for Data Science, AI & Development | 24 hours |
| 5. Python Project for Data Science | 7 hours |
| 6. Databases and SQL for Data Science with Python | 18 hours |
| 7. Data Analysis with Python | 16 hours |
| 8. Data Visualization with Python | 19 hours |
| 9. IBM Data Analyst Capstone Project | 26 hours |
| 10. Generative AI: Enhance your Data Analytics Career | 16 hours |
| 11. Data Analyst Career Guide and Interview Preparation | 13 hours |
Sources[1]
The tools named on the page include Excel, SQL, Python with Pandas and NumPy, Jupyter Notebooks, Plotly and IBM Cognos Analytics, and the learning outcomes also mention Tableau. The projects include Excel pivot tables on fleet vehicle inventory, a KPI dashboard on car sales, SQL queries on census, crime and school data, and a Python dashboard on US domestic flight reliability.[1]
How the learning works
The program is fully online and self-paced. Coursera says you can reach lectures, readings and assignments at any time on the web or a mobile device, and that you will complete hands-on labs and projects throughout.[1]
Coursera's course estimates add up to 180 hours. At ten hours a week that is about 18 weeks, which matches the page's estimate of four months at ten hours a week. The FAQ on the same page says you can finish in as little as five months, so plan for four to five months at that pace, and longer if you study less.[1]
- Block study time in your calendar; billing is monthly, so a steady pace also keeps the cost down.
- Keep your capstone and project notebooks tidy: they are more useful to an employer than the certificate alone.
- Expect the Python courses (4 through 8) to take the most effort if you have never programmed.
What it costs and how billing works
Coursera sells Professional Certificates as a monthly subscription that gives access to all included courses. If you choose Enroll for free, the subscription starts with a free trial, which Coursera says may be 1 day or 7 days. After the trial you are charged for the first month, then monthly until you cancel or the subscription ends.[3]
The subscription ends automatically once you earn the Professional Certificate, and you can cancel at any time to stop future charges. If you subscribe to a single course from the program, Coursera automatically subscribes you to the full certificate.[1][3]
The program page did not show a monthly price when we checked on September 30, 2026, and we could not see the US price from outside the US. Coursera says prices are shown on its payment pages, may vary, may differ in its mobile app, and may include sales tax. The program page also says financial aid is available and that the program is included with Coursera Plus.[1][4]
Limitations to keep in mind
- It is an entry-level certificate, not a degree.
- College credit is a recommendation that each school may accept or reject.
- Coursera's two time estimates differ, and IBM's badge page still describes 8 courses rather than 11.
- There are no live classes, so you need to keep yourself on schedule.
- Salary and job-opening figures on Coursera are market data, not promises.
- Some employers ask for a degree or experience whatever certificates you hold.
Alternatives to compare
- BrainStation AI Data Analytics Certification: eight weeks of live classes, online or in New York, covering Excel, MySQL and Tableau with AI tools. The tuition is not published on its course page.
- CourseCareers Data Analytics Course: self-paced, covering Excel, Tableau, SQL and Python, for $499 up front or four payments of $150.
The Google Data Analytics Certificate is another beginner program on Coursera, which we cover in a separate guide. When you compare, look at which tools you will practice, what project you finish with, the weekly hours and the total cost at your own pace.
Frequently asked questions
Do I need a degree or experience?
No. Coursera lists it at beginner level, and its FAQ says you need basic computer literacy and high-school level math rather than a degree or a specialized background.[1]
How long does it take?
Coursera's page estimates four months at ten hours a week, and its FAQ says as little as five months. The 11 course estimates add up to 180 hours.[1]
How much does it cost in the US?
We could not verify the US price. Coursera bills Professional Certificates monthly, usually after a free trial of 1 or 7 days, and shows the price on the enrollment page. Financial aid is available.[1][3]
Can I get college credit?
Coursera says the certificate has ACE and FIBAA recommendations worth up to 12 college credits and 6 ECTS credits, but each institution decides whether to accept them.[1]
Do I have to take the courses in order?
Coursera's FAQ strongly recommends it, because each course builds on concepts from the previous ones.[1]
Is any part of it in person?
No. Coursera says the program is completely online, with lectures, readings and assignments available on the web or a mobile device.[1]
Sources
- Coursera: IBM Data Analyst Professional Certificate
- IBM Training: Data Analyst Professional Certificate badge
- Coursera Learner Help Center: Coursera subscriptions
- Coursera Learner Help Center: Payments on Coursera
- BrainStation: AI Data Analytics Certification (Online)
- CourseCareers: Data Analytics Course
Check the details with IBM on Coursera
Prices, rates and terms can change. Confirm the current details on the official page before you sign up or apply.
Visit the official course pageExternal link to coursera.org