Data Science Fundamentals with Python and SQL

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 Data Science Fundamentals with Python and SQL program is a non-degree certification from International Business Machines Corporation (IBM) in the United States, taught in English, helping individuals get started in the in-demand field of data science.

The curriculum includes 5 self-paced online courses covering open source tools, Python, statistical analysis, SQL, and relational databases, with hands-on practice using real data science tools and real-world data sets to provide foundational skills for data science.

Graduates can pursue careers as Data Scientists, Business Intelligence Developers, Data Analysts, Quantitative Analysts, or Data Engineers, working with organizations that need professionals to analyze data and inform data-driven decisions.