Data Science Methodology at Coursera Overview
Data Science Methodology
at Coursera
Duration | 9 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Future job roles | Data Scientist |
Data Science Methodology
Table of contents
Data Science Methodology at Coursera Highlights
Data Science Methodology
at Coursera
- Offered by IBM
- Includes Peer Graded Assignments, Quizzes
- Learn from leading data scientists
- 37% got a tangible career benefit from this course
Read more
Data Science Methodology at Coursera Course details
Data Science Methodology
at Coursera
Skills you will learn
What are the course deliverables?
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
More about this course
- Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
- This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Data Science Methodology at Coursera Curriculum
Data Science Methodology
at Coursera
From Problem to Approach and From Requirements to Collection
Welcome
Business Understanding
Analytic Approach
Data Requirements
Data Collection
From Understanding to Preparation and From Modeling to Evaluation
Data Understanding
Data Preparation - Concepts
Data Preparation - Case Study
Modeling - Concepts
Modeling - Case Study
Evaluation
From Deployment to Feedback
Deployment
Feedback
Course Summary
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K
Kiran Deo Yadav
Data Science Methodology
Offered by Coursera
4
Learning Experience: Great
Faculty: Great
It was fine
Reviewed on 14 Jan 2023Read More
A
Anway Patil
Data Science Methodology
Offered by Coursera
5
Learning Experience: It clear all the basic concept concepts. It was really great experience with course
Faculty: Faculty is best
Assemnets are good. Its comprehensive.
Course Support: Not yet
Reviewed on 10 Sep 2022Read More
J
Jagdeep Singh Maan
Data Science Methodology
Offered by Coursera
5
Learning Experience: course teaches about steps which are include
Faculty: Instructors taught well
yes updated and comprehensive. i like material provided in this course
Course Support: No career support provided
Reviewed on 4 Jun 2022Read More
S
Shanker Abhinay
Data Science Methodology
Offered by Coursera
4
Other: The course was just a mere introduction about the data science as well as the business steps for building a model or for solving a problem.
Reviewed on 26 Nov 2020Read More
B
Bharat Kapoor
Data Science Methodology
Offered by Coursera
4
Other: Being a newcomer to data science, this course gave me a great direction towards using R. Thanks to Coursera, I can finally write R as a skill on my resume.
Reviewed on 15 Oct 2020Read More
View All 6 Reviews
Data Science Methodology
at Coursera
Student Forum
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