Applied Data Science

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.

The Applied Data Science program is a non-degree course for data science enthusiasts, offered by International Business Machines Corporation (IBM) in the United States. This program lasts several weeks and is taught in English, providing practical skills for real-world data problems.

The curriculum covers data analysis, data visualization, and predictive modeling using tools like Python, Numpy, and Pandas. You'll learn methods of data analysis, practice modeling and model selection, and discover how to tell a compelling story with data to drive decision making. You'll also get hands-on experience tackling data problems through guided lectures, labs, and projects in the IBM Cloud.

After completing this program, you can pursue careers as a Data Analyst, Business Intelligence Developer, Data Scientist, Data Engineer, or Quantitative Analyst, working with companies that rely on data-driven decision making, such as IBM, Google, or Facebook.