IBM Data Science Professional Certificate

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.
It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist.
The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.

In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in data science.
WHAT YOU WILL LEARN

  • Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist
  • Develop hands-on skills using the tools, languages, and libraries used by professional data scientists
  • Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python
  • Apply various data science skills, techniques, and tools to complete a project and publish a report
Filter Courses within "IBM Data Science Professional Certificate" (Click to filter)
Python Project for Data Science (Coursera) Coursera
IBM

Python Project for Data Science (Coursera)

Embark on an exciting journey into the world of data science with 'Python Project for Data Science' on Coursera. This comprehensive course is tailored for beginners and intermediate learners aiming to develop a strong foundation in Python programming for handling and analyzing data. By completing this project-based learning experience, you'll construct a simple yet effective dashboard using Python, gaining practical skills that are crucial in the field of data science.

Jun 4th 2026
1 Week
Introduction to Data Science (edX) EdX
IBM

Introduction to Data Science (edX)

Embark on a journey into the fascinating world of Data Science with this introductory course designed by seasoned professionals. Learn the art of uncovering hidden patterns, trends, and insights within data sets that have been shaping decisions since the days of the ancient Egyptians. This course will equip you with essential skills to analyze, interpret, and leverage data effectively.

Self Paced
Self-Paced
Data Science and Machine Learning Capstone Project (edX) EdX
IBM

Data Science and Machine Learning Capstone Project (edX)

This course is designed for learners who have completed several courses on Data Science and Machine Learning and are ready to put their knowledge into practice. By working on a real-life data problem, you'll develop a project that demonstrates your ability to apply these techniques effectively in business scenarios, build predictive models, and stand out in the job market.

Self Paced
Self-Paced
The Data Science Method (edX) EdX
IBM

The Data Science Method (edX)

Dive into The Data Science Method course to master the art and science of data analysis. Explore key methodologies, practices, and requirements that are crucial for solving complex problems using data effectively. This course is designed for those looking to make data relevant and properly manipulated to tackle various business scenarios and real-world projects.

Self Paced
Self-Paced
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