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.

À propos de ce cours
Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience.
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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.
Compétences que vous acquerrez
- 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.
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesOffert par
Commencez à travailler pour obtenir votre licence
Programme de cours : ce que vous apprendrez dans ce cours
Data Scientist's Toolkit
Open Source Tools
IBM Tools for Data Science
Final Assignment: Create and Share Your Jupyter Notebook
Avis
- 5 stars66,83 %
- 4 stars22,18 %
- 3 stars6,75 %
- 2 stars2,22 %
- 1 star2 %
Meilleurs avis pour TOOLS FOR DATA SCIENCE
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.
There was a problem with the connection to R lab, never fixed. Also, some tutorials are outdated. These are the negative parts and why I give four stars. Other than that I like the course so far.
Excellent introduction to a variety of open source tools available and commonly used by Data Science Professionals. Some of the video material is slightly outdated due to updates to the platform.
Good content, excellent delivery. Week1 had too much of information at once. I was left with little motivation after week-1. All the other weeks were good. Exercises were engaging and very useful.
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