In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them.

이 강좌에 대하여
Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기배울 내용
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
귀하가 습득할 기술
- Data Science
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience.
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기제공자:
학사 학위 취득 시작
강의 계획표 - 이 강좌에서 배울 내용
Data Scientist's Toolkit
Open Source Tools
IBM Tools for Data Science
Final Assignment: Create and Share Your Jupyter Notebook
검토
- 5 stars66.83%
- 4 stars22.19%
- 3 stars6.75%
- 2 stars2.22%
- 1 star1.99%
TOOLS FOR DATA SCIENCE의 최상위 리뷰
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.
i rather to chose what is data science is better in perspective of materials and assignment, because in tools for data science i feel a lot of boring because to much explanation for what have to use
I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.
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