Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Data analysis involves gathering, cleaning, organizing, modelling, and visualizing data with the goal of extracting helpful insights that can inform decision-making.

Data analytics skills will prove valuable in any profession. As data analytics technology develops, organizations across fields are increasingly using data to inform decision-making. This program will provide you with all the skills needed for an entry-level Data Analyst role, and will provide a strong foundation for future career development in other paths such as data science or data engineering.

This is a self-paced Professional Certificate that you can complete on your own schedule. Working 10-12 hours a week, you could complete the entire program in just 3 months. If working part time with just 2-3 hours per week, it can take up to 9 months.

No specialized background or degree is needed. However, you are expected to have basic computer literacy, high-school level mathematics, and be comfortable working with numbers.

It is highly recommended to complete the courses in the order they are listed, as they build upon concepts in the previous courses.

Upon completing this Professional Certificate, you will be armed with the skills and knowledge to start an entry level role in Data Analytics. You can also apply your newly-acquired analytical skills to enrich your current career in a variety of industries including banking, accounting, and IT and functions such as marketing, finance, and research.

Data analytics skills are also valuable as an entry point to other data-related professions such as Data Science, Data Engineering, and Business Analytics.

Yes. The IBM Data Analyst Professional Certificate recently secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the program. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.

To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credlybadge, which contains the ACE®️credit recommendation.  Once claimed, you will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.