IBM Data Science

Tuition is 49, while the application deadline is Anytime.

IBM Data Science is a non-degree program that can be completed in as little as four months. It's perfect for those looking to start a career in data science, with no prior knowledge of computer science or programming required.

This program teaches in-demand skills like databases, data visualization, and predictive modeling, using tools like Python, SQL, and Jupyter notebooks. You'll work on projects to build a portfolio and gain confidence in your abilities.

After completing the program, you can pursue roles like Data Scientist, Data Analyst, Business Intelligence Developer, Data Engineer, or Quantitative Analyst, with potential employers including IBM and other leading companies in the field.

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.