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Tools for Data Science

📄 Summary

This course provides an introduction to the common programming languages used by data scientists. It also provides a foundational knowledge of tools such as Jupyter Notebooks, Watson Studio, and GitHub, which are used throughout the following courses.

📑 Main Topics

• Data Scientist's Toolkit (e.g. the languages of Data Science (Python, R, SQL))

• Open Source Tools (e.g. Jupyter Notebook, JupyterLab, R Studio IDE, Github)

• IBM Tools for Data Science

🔑 Key Skills Learned

• Introduction to the languages, tools, and data used by data scientists, including IBM tools focused on data science.

• Knowledge of the features of Jupyter Notebook and RStudio IDE that make them popular for data science projects.

• Creation and management/version control of source code for data science in GitHub.

• Understanding of how IBM Watson Studio and other IBM data science tools can be used by data scientists.

🏆 Certificates

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