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IBM Data Science Specialization

Completed

Duration

~5 months

About the Course

IN PROGRESS


The IBM Data Science Professional Certificate program on Coursera is designed to help individuals develop the skills necessary to pursue a career in data science. The program consists of nine courses covering a range of topics such as data analysis, visualization, machine learning, and data science tools and methods.


Throughout the program, learners work with real data sets and complete hands-on assignments to develop practical skills in data science. Learners also have the opportunity to work on a capstone project, where they can apply their skills to a real-world problem.


The program is offered by IBM and is taught by experienced data scientists and experts in the field. Learners have the flexibility to complete the courses at their own pace, with the option to enroll in a subscription plan that provides access to additional content and resources.


Upon completion of the program, learners will receive a professional certificate from IBM, which can be shared with potential employers as evidence of their skills and expertise in data science.

Instructor

IBM on Coursera

The IBM Data Science Specialization course on Coursera is taught by experienced instructors from IBM, a leading technology company with a long history of innovation in data science and analytics. IBM's instructors bring their real-world expertise and insights to the course, helping learners gain practical experience with tools and techniques used in the field. The course is designed to provide a comprehensive education in data science, covering everything from data wrangling and analysis to machine learning and statistical inference. By learning from IBM's instructors, learners gain valuable skills and knowledge that can help them advance their careers in data science and related fields. For more information about IBM visit: www.ibm.com

IBM on Coursera

© 2013-2023 by Sarah E. Stegall-Rodriguez. Contents may not be used and/or duplicated without explicit written permission from the author (Use the Contact Page). Excerpts and links may be used with full and clear credit given to Sarah E. Stegall-Rodriguez. 

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