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  2. Rigorous Data Science Program for Professionals to build industry-valued skills. Learn Machine Learning, Deep Learning, NLP, Recommendation Systems, and more. Apply Now.

  3. Get Started with Data Science at Scale. Includes Code Samples, Notebooks, and Use Cases. Find Real-World Data Science Use Cases That Are Relevant to What You’re Working On.

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  1. By the end of this data science course for business leaders and managers, participants will be able to: Develop a foundational understanding of data science tools, processes, and models. Use business analytics and data science to build a framework that will support data-driven decisions leading to organizational success.

  2. IBM Data Science Professional Certificate. Prepare for a career as a data scientist. Develop in-demand skills and hands-on experience to get job-ready in as little as 5 months. No prior experience required.

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  3. Earn a credential and build your data career in data analytics, machine learning, AI, and more. Learn at your own pace from top companies and universities, and gain in-demand skills.

  4. Within data science, common jobs include data scientist, data analyst, data architect, and data engineer. Data science skills can be extremely useful for business and marketing analysts, who often use system tools to extract and analyze data. It is a high-demand field and skill set, and nearly every industry uses data science in one way or another.

  5. Data Analytics Certificate. Hosted on Coursera, this fully online program provides all the skills you need to find an entry-level job in the field of data analytics, even if you don't have prior experience. You’ll learn about: Data types and structures. Using data to solve problems. How to analyze data.

  6. Free. We'll start the course by defining what data science is. We'll cover the data science workflow, and how data science is applied to real-world business problems. We'll finish the chapter by learning about ways to structure your data team to meet your organization's needs. View chapter details.