Course Provider
What will you learn in this course?
You will learn:
- How to use various data science and data visualization tools hosted on Skills Network Labs
- How to use Jupyter Notebooks including its features and why it's so popular
- Popular tools used by R Programmers including RStudio IDE
- IBM Watson Studio including its features and capabilities
- How to create and share a Jupyter Notebook
Data Science Tools
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Skill Type
Emerging Tech
- Domain
AI/BDA
- Certificate Earned Partner Completion Certificate
- Course Covered under GoI Incentive
Yes
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- Course Price
INR 2,599
- Course Duration
5 Hours
- Course Price
Why should you take this course?
- In this course you will receive one of the most comprehensive overviews on open source and commercial tooling available for Data Science, and the skills on how to use them.
- This hands-on course will get you up and running with some of the latest and greatest Data Science Tools.
Who should take this course?
This course is intended for those who want to learn about the various open-source tools which are an indispensable part of data science and the means to use them.
Curriculum
- Module 1 - Data Scientist's Toolkit
- Module 2 - Open-Source Tools
- Module 3 - IBM Tools for Data Science
- Module 4 - Final Assignment
Tools you will learn in this course:
- R Studio
- Jupyter Notebook
- Github
- IBM Watson
FAQs
You will be introduced to many data science tools, including Jupyter Notebooks, RStudio IDE, and Watson Studio. You will discover what each tool is used for, what programming languages you can execute, what their features and limitations are, and how data scientists use the tools.
This course is run by our partner SkillUp Online. It is 100% online, and you do not need to attend any classes in person. You simply require adequate access to the internet and the required technology to be able to use the course materials, which come in the form of articles, videos, and knowledge checks. Plus, you will be able to connect easily with others on the course and your mentors through the discussion space.
Once you have completed this course, you will have:
• Introductory knowledge of the languages and tools used in data science.
• An understanding of common open-source tools used to perform data science tasks.
• An introductory understanding of IBM tools for data science.
As soon as you enroll for this course, you will have access to all the information and materials in your dashboard.