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.
IBM Skills NetworkAbout this Course
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Shareable Certificate
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Beginner Level
Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience.
Approx. 20 hours to complete
English
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Try Coursera for BusinessWhat you will learn
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.
Skills you will gain
- Data Science
- Github
- Python Programming
- Jupyter notebooks
- Rstudio
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience.
Approx. 20 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Start working towards your Bachelor's degree
This course is part of the 100% online Bachelor of Applied Arts and Sciences from IBM Skills Network.
If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
3 hours to complete
Data Scientist's Toolkit
3 hours to complete
17 videos (Total 84 min)
10 hours to complete
Open Source Tools
10 hours to complete
12 videos (Total 54 min)
5 hours to complete
IBM Tools for Data Science
5 hours to complete
15 videos (Total 72 min)
2 hours to complete
Final Assignment: Create and Share Your Jupyter Notebook
2 hours to complete
1 reading
Reviews
- 5 stars66.83%
- 4 stars22.19%
- 3 stars6.75%
- 2 stars2.21%
- 1 star2%
TOP REVIEWS FROM TOOLS FOR DATA SCIENCE
by RGMar 27, 2020
It's a good introductory course to know all the open-source tools available for data science. However, it will not teach you how to code for these tools apart from introducing a few basic lines.
by STOct 31, 2018
Everything was good, except the stuff with Zeppelin notebooks. That was just confusing and it felt like there were large chunks of explanations missing for people with no programming background
by LDApr 25, 2021
Great course, I would really encourage everyone to go through, however videos about Jupyter Notebook or other tools were so fast I wasn't able to remember all the information. Anyway great course.
by MMAug 16, 2022
The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.
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