- Github
- IBM Cloud
- Version Control
- Other Programming Languages
- Git (Version Control System)
- Query Languages
- Machine Learning
- Development Environment
- Jupyter
- Data Science
- Open Source Technology
- Computer Programming Tools
Tools for Data Science
Completed by ABDULAZIZ SALEH ABDULLAH ALMUFADDA ABDULAZIZ SALEH ABDULLAH ALMUFADDA
May 14, 2021
18 hours (approximately)
ABDULAZIZ SALEH ABDULLAH ALMUFADDA ABDULAZIZ SALEH ABDULLAH ALMUFADDA'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
