- IBM Cloud
- Other Programming Languages
- Version Control
- Data Visualization Software
- Big Data
- R (Software)
- Statistical Programming
- Python Programming
- Query Languages
- Development Environment
- Computer Programming Tools
- Cloud Computing
Tools for Data Science
Completed by Pradyumna Vemuri
February 24, 2019
18 hours (approximately)
Pradyumna Vemuri'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

