Data Science Methodology by Coursera

Course Cover

5

(8)

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

Despite recent improvements in computing power and data access over the past two decades, our ability use data to make decisions is often lost or not maximized. We don't have a good understanding of the issues being asked or how to apply data to solve them.

This course serves one purpose: to share a method that can be used in data science to ensure that data used for problem solving is relevant and correctly manipulated to address the question. This course will teach you: - The main steps in solving a data science problem. Data science is the process of creating a business or researching a problem. Then you will need to collect and analyze data. You'll also need to build a model and understand the feedback. Data scientists' thinking! LIMITED TIME OFFER: Subscribe for $39 USD per Month to access graded materials and a Certificate.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Describe what a methodology is and why data scientists need a methodology

Describe the six stages in the Cross Industry Process for Data Mining (CRISP-DM) methodology including Business Understanding and Data Understanding

Describe some of the use cases for different analytic models and approaches, such as Predictive, Descriptive, and Classification models

Explain the importance of identifying the correct sources of data for your data science project

Course Instructors

Alex Aklson

Ph.D., Data Scientist

Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that co...

Polong Lin

Data Scientist

Polong Lin is the instructor for this course

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