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  1. Badge: Data Science Professional Certificate - IBM Training - Global. The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python ...

  2. www.ibm.com › training › plIBM Training

    IBM Training offers courses and certifications to help professionals master IBM's technologies, products, and services.

  3. IBM Data Analyst Professional Certificate | Coursera. Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required. Instructors: IBM Skills Network Team. +11 more. Enroll for Free. Starts Nov 1. Financial aid available.

  4. Badge: IBM Machine Learning Professional Certificate - IBM Training - Global. This credential earner is able to showcase working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning.

  5. Professional Certificate - 12 course series. Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 4 months. No prior knowledge of computer science or programming languages is ...

  6. Certyfikat IBM What is Data Science zdobyty przez Juliena Florkina jest potwierdzeniem jego wiedzy specjalistycznej w dziedzinie analityki danych. Jego umiejętności i wiedza czynią go nieocenionym nabytkiem dla każdej organizacji chcącej wykorzystać dane w celu uzyskania strategicznej przewagi.

  7. Complete all courses in the IBM Data Science Professional Certificate program on Coursera (includes quizzes, hands-on assignments and projects), and earn the following badges: Data Science Orientation. Tools for Data Science. Data Science Methodology. Python for Data Science and AI. Databases and SQL for Data Science.

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