IBM Introduction to Data Science Specialization

The IBM Introduction to Data Science Specialization offers a comprehensive program designed to equip learners with the fundamental skills and knowledge in the dynamic field of data science.

Course 1: What is Data Science? Discover the core concepts and applications of Data Science, including Machine Learning and Neural Networks. Explore real-world examples of how data insights drive business decisions.

Course 2: Tools for Data Science Master essential tools like Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. Learn to work in a cloud-based environment, execute code in Python, R, and Scala, and present projects using Jupyter Notebooks.

Course 3: Data Science Methodology Learn the major steps in practicing data science using the CRISP-DM methodology. Understand how to form business/research problems, collect, prepare & analyze data, build models, deploy them, and utilize feedback for continuous improvement.

Course 4: Databases and SQL for Data Science with Python Gain proficiency in SQL, the language for database communication. Write powerful queries, access databases using Python and Jupyter notebooks, work with real datasets, and explore advanced SQL concepts.

The IBM Introduction to Data Science Specialization provides hands-on experience, real-world projects, and a strong foundation for your journey into the captivating world of data science. Unlock the potential of data and become a skilled data practitioner!

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