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Tools for Data Science

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks,...
4.5
4.5/5
(21,751 reviews)
216,066 students
Created by

8.8

CourseMarks Score®

N/A

Freshness

8.6

Feedback

8.5

Content

Platform: Coursera
Price: $0
Video: 3h 30m
Language: English

Top Data Analysis courses:

Detailed Analysis

CourseMarks Score®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.6 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.5 / 10
Video Score: 8.1 / 10
The course includes 3h 30m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.0 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

1 articles.
0 resource.
0 exercise.
0 tests or quizzes.

Table of contents

Description

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you’ll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. 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 course, 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.

You will learn

Requirements

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

This course is for

This course is suitable for beginners.

How much does the Tools for Data Science course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Does the Tools for Data Science course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Aije Egwaikhide a SCAM or a TRUSTED instructor?

Aije Egwaikhide has created 5 courses that got 2,476 reviews which are generally positive. Aije Egwaikhide has taught 232813 students and received a 4.45 average review out of 2,476 reviews. Depending on the information available, Aije Egwaikhide is a TRUSTED instructor.
IBM
IBM
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. She is currently pursuing her Masters’s in Management Analytics at Queens University. She is a current employee of IBM where she started as a Junior Data Scientist at the Global Business Services (GBS) in 2018. Her main role was making meaning out of data for their Oil and Gas clients through basic statistics and advanced Machine Learning algorithms. The highlight of her time in GBS was creating a customized end-to-end Machine learning and Statistics solution on optimizing operations in the Oil and Gas wells. She is part of the IBM Developer Skills Network group where she brings her real-world experience to the courses she creates. Aije uses her voice through social media to empower young women and directly/indirectly mentoring them on career paths in the STEM field.

8.8

CourseMarks Score®

N/A

Freshness

8.6

Feedback

8.5

Content

Platform: Coursera
Price: $0
Video: 3h 30m
Language: English

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