- Machine Learning
- Model Deployment
- Computer Programming Tools
- Jupyter
- Application Programming Interface (API)
- R Programming
- Version Control
- Cloud Computing
- Data Visualization Software
- Other Programming Languages
- GitHub
- Data Science
Tools for Data Science
Completed by ERIC WILBERT CAJAHUARINGA QUINCHO
January 18, 2022
17 hours (approximately)
ERIC WILBERT CAJAHUARINGA QUINCHO'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 toolsÂ
Utilize languages commonly used by data scientists like Python, R, and SQLÂ
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features Â
Create and manage source code for data science using Git repositories and GitHub.Â
Skills you will gain
