Tools for Data Science

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About

Course #2 in the IBM Data Science Professional Certificate .

Highlights

• Learned about the Data Scientist’s tool kit, including libraries & packages, data sets, machine learning models, and big data tools.
• Utilized languages commonly used by data scientists, such as Python, R, and SQL.
• Demonstrated working knowledge of tools such as Jupyter Notebooks and RStudio, and utilized their various features.
• Created and managed source code for data science projects using Git repositories and GitHub.