- Computer Programming Tools
- Integrated Development Environments
- Python Programming
- IBM Cloud
- Scala Programming
- Jupyter
- Data Analysis
- Exploratory Data Analysis
- GitHub
- Data Science
- Data Visualization Software
- Development Environment
Tools for Data Science
Completed by Danijel Petrović
March 14, 2024
17 hours (approximately)
Danijel Petrović's account is verified. Coursera certifies their successful completion of Tools for Data Science
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

