Careervira Logo
Careervira Logo

USD $

Courses

Roles & Skills

Lists

Learn Paths

Career Paths

Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Tools for Data Science by Coursera

Course Cover
IBM

via

Coursera

5

(8)

compare button icon

Course Features

icon

Duration

18 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Teaching Type

Self Paced

icon

Video Content

18 hours

Course Description

What are the most widely used data science tools? How do you use them? And what are their best features? This course will teach you about Jupyter Notebooks and JupyterLab as well as RStudio IDE. Git, GitHub and Watson Studio. Learn about the purpose of each tool, which programming languages they can run, and their limitations. You will be able test the tools and follow the instructions to run simple codes in Python, R, or Scala using the Skills Network Labs cloud-hosted tools. You will complete the course by creating a final project using a Jupyter Notebook from IBM Watson Studio. This will demonstrate your ability to prepare a notebook, write Markdown and share your work with peers.

Course Overview

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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

Create and manage source code for data science in GitHub

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

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

Course Instructors

AE

Aije Egwaikhide

Senior Data Scientist

Aije Egwaikhide is a Data Scientist at IBM who holds a degree in Economics and Statistics from the University of Manitoba and a Post-grad in Business Analytics from St. Lawrence College, Kingston. Sh...
Read More
SL

Svetlana Levitan

Senior Developer Advocate with IBM Center for Open Data and AI Technologies

Svetlana Levitan is the instructor for this course
RK

Romeo Kienzler

Chief Data Scientist, Course Lead

Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering...
Read More

Course Reviews

Average Rating Based on 8 reviews

5.0

100%

Course FAQs

When will I have access to the lectures and assignments?

What will I get if I subscribe to this Certificate?

Course Cover
Home
Search
Wishlist