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.

This Professional Certificate is self-paced. Learners spending 10-12 hours a week can complete within 6 months. For others it can vary between 3 to 9 months.

No prior experience, degrees, statistical or programming knowledge is necessary. Just the passion to self-learn online, comfort & interest in working with numbers and data, and basic computer literacy.

Yes, it is highly recommended the courses be taken in the order they are presented in the certificate. 

This Professional Certificate is intended to prepare you with skills and confidence to take on an entry level role in Data Analytics or Data Science.  After completing this certificate program you will be able to: Describe the data ecosystem, tasks a Data Analyst performs, as well as skills and tools required to become a successful Data Analys

Explain basic functionality of spreadsheets, and utilize Excel to perform a variety of data analysis tasks like data wrangling, using pivot tables, and data mining

Create various types of visualizations including charts, and dashboards using Excel and Cognos Analytics.

Perform basic R programming tasks such as using common data structures, data manipulation, using APIs, webscraping, and working with R Studio and Jupyter.

Create relational databases and query the data using SQL and R from JupyterLab

Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling.

Communicate data findings using data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny.

Both this and the IBM Data Analyst Professional Certificate are intnded to prepare you with job-ready skills for an entry level Data Analytics role. The initial three foundational courses, that do not involve any programming, are common between the two programs. The next set of courses in this PC are based on the R Programming language, whereas in the other program they are based on the Python language. Other than that they teach similar concepts and skills. So if you want Data Analysis skills using R, you should enroll in this program whereas is you want Python skills, you can enroll in the ther one. Or you can do both, by first completing one and then the other.

Yes. The IBM Data Analytics with Excel and R 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 15 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.