- Computer Programming Tools
- Data Science
- Application Programming Interface (API)
- Python Programming
- Cloud Computing
- Git (Version Control System)
- Statistical Programming
- Big Data
- Machine Learning
- Version Control
- R (Software)
- R Programming
Tools for Data Science
Completed by Nanayakkara Mahadange Sudeepa Nadeeshan
August 4, 2019
17 hours (approximately)
Nanayakkara Mahadange Sudeepa Nadeeshan'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
