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Data Science Methodology(으)로 돌아가기

Data Science Methodology, IBM

4,153개의 평가
387개의 리뷰

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. Accordingly, in this course, you will learn: - 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! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

최상위 리뷰

대학: AG

May 14, 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

대학: SJ

Aug 09, 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

필터링 기준:

382개의 리뷰

대학: Erin Joel Moore

May 25, 2019

The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.

대학: David Nti Berko

May 24, 2019

Very little assistance from Moderators


May 23, 2019


대학: Sérgio Álvares de Albuquerque

May 23, 2019


대학: Ashish Diwakar

May 22, 2019

The videos are boring and but they are very informative

대학: Md Asraful Islam

May 22, 2019

Grading procedure is very weak and course has synchronization of lack of lab and theory. The lab seems very difficult with lots of python coding.

대학: Jason Kannemeyer

May 21, 2019

This course made me realize that people tend to jump to execution mode without even understanding what the business really want from them, and by not having a proper understanding they either produce a system that adds no value to the business, or they waste unnecessary time. The tools from this course is very helpful in any field that you are working in.

대학: Tolani Bamidele

May 20, 2019

the presentation is a bit robotic

대학: Riya Bhandekar

May 20, 2019

It was comprehensive ! I understood all topics due to the detailed videos and could correlate due to case study

대학: Diego Israel Hernandez Galindo

May 20, 2019

Muy buen curso, te muestra el proceso a seguir para hacer un buen trabajo en el analisis de datos