Tools in Data Science

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This AI course delineates the Data Scientist's toolkit, instructs students in Python, R, and SQL, investigates RStudio and Jupyter notebooks, and discusses Git and GitHub for source code administration.

Key AI Functions:Data Science,Python Programming,Github,Rstudio,Jupyter notebooks

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Description for Tools in Data Science

Define the Data Scientist's toolkit, which comprises libraries and packages, data sets, machine learning models, and big data tools.

Employ programming languages that are frequently employed by data scientists, such as Python, R, and SQL.

Utilize the diverse capabilities of tools like RStudio and Jupyter notebooks to exhibit a comprehensive understanding of their functionality.

Utilize Git repositories and GitHub to generate and supervise source code for data science.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by IBM

Duration: 18 hours (approximately)

Schedule: Flexible

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