Tools for Data Science, Certificate | Part time online | Coursera | United States
1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
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Start date

About

In this Tools for Data Science course offered by Coursera in partnership with IBM, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. 

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Overview

What are some of the most popular data science tools, how do you use them, and what are their features? You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. 

To end the Tools for Data Science course offered by Coursera in partnership with IBM, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.

What you will learn

  • Describe the languages, tools, and data used by data scientists, including IBM tools focused on data science. 

  • Describe the features of Jupyter Notebook and RStudio IDE that make them popular for data science projects.

  • Create and manage source code for data science in GitHub.

  • Explain how IBM Watson Studio and other IBM data science tools can be used by data scientists.

Programme Structure

Courses include:

  • Data Scientist's Toolkit
  • Open Source Tools
  • IBM Tools for Data Science 
  • Final Assignment: Create and Share Your Jupyter Notebook

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner Level
  • Anyone can complete this course in a self-paced manner without any prior programming or Data Science experience.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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