- Data Science
- Big Data
- Jupyter
- Version Control
- Computer Programming Tools
- Cloud Computing
- R Programming
- Application Programming Interface (API)
- Machine Learning
- Python Programming
- R (Software)
- Development Environment
Tools for Data Science
Completed by Nikiforos Grontas
May 25, 2020
17 hours (approximately)
Nikiforos Grontas'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
