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

Data Science Methodology by Coursera

Course Cover
compare button icon

Course Features

icon

Duration

8 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

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

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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

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

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

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

Course Cover