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Completed by CAROL VANESSA GALLEGOS MARTINEZ

June 10, 2026

16 hours (approximately)

CAROL VANESSA GALLEGOS MARTINEZ's account is verified. Coursera certifies their successful completion of Essential Tools for Data Scientists: Git, Jupyter & More

Essential Tools for Data Scientists: Git, Jupyter & More

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What you will learn

Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.

Skills you will gain

Category: Git (Version Control System)
Category: Data Science
Category: Other Programming Languages
Category: Version Control
Category: Data Analysis Software
Category: Python Programming
Category: Query Languages
Category: GitHub
Category: Cloud Platforms
Category: Jupyter
Category: R Programming
Category: Cloud Hosting

View certificate for CAROL VANESSA GALLEGOS MARTINEZ, Essential Tools for Data Scientists: Git, Jupyter & More, an online non-credit course authorized by IBM and offered through Coursera