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SQL for Data Science Capstone Project

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Course Report - SQL for Data Science Capstone Project

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

35 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

Intermediate

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Teaching Type

Self Paced

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Video Content

35 hours

Course Description

Data science is an exciting career that is growing rapidly. To be successful, you need to have SQL skills. This course will give you a solid foundation in SQL skills that can be used to analyze data and solve business problems.

This project allows you to use the skills and knowledge you've gained to solve data problems and practice SQL querying. Participate in your personal or professional journey to create portfolio-worthy pieces. You will select a dataset and create a proposal. This specialization will allow you to explore your data and use the initial statistics that you have acquired. You will learn how to analyze qualitative data and create new metrics from patterns found in your analysis. Your work will be presented in a presentation that will present the results of your research. You will also receive peer-review feedback. These peer-review process will give you additional feedback to improve your data analysis skills with SQL.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Develop metrics and perform advanced techniques in SQL

P​resent your findings and make recommendations

​Perform descriptive statistics as part of your exploratory analysis

​Develop a project proposal and select your data

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