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Data Science at Scale - Capstone Project
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Data Science at Scale - Capstone Project

Apply comprehensive data science skills to solve real-world problems through a hands-on predictive modeling project.

Course Cost

Free course

Advanced

Skill Level

8 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science at Scale Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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3.8

2,521 Enrolled

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English

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olive-leaves-logo

3.8

2,521 Enrolled

olive-leaves-logo

English

What you'll learn

  • Design and implement end-to-end data science solutions

  • Develop predictive models for real-world problems

  • Apply data wrangling and feature engineering techniques

  • Evaluate and improve model performance

  • Create comprehensive project documentation

Skills you'll gain

Data Wrangling
Statistics
Data Analysis
Python Programming
R Programming
Machine Learning
Predictive Modeling
Feature Engineering

This course includes:

5.5 Hours PreRecorded video

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate
Certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 6 modules in this course

This capstone project course challenges students to apply the entire data science pipeline to a real-world problem. Working with actual stakeholders through Coursolve, students tackle the prediction of building condemnations. The project encompasses data preparation, organization, transformation, model construction, and results evaluation. Students learn to handle ambiguous requirements, develop feature engineering strategies, and create practical solutions that can be deployed in real-world scenarios.

Project A: Blight Fight

Module 1 · 30 Minutes to complete

Week 2: Derive a list of buildings

Module 2 · 1 Hours to complete

Week 3: Construct a training dataset

Module 3 · 1 Hours to complete

Week 4: Train and evaluate a simple model

Module 4 · 1 Hours to complete

Week 5: Feature Engineering

Module 5 · 1 Hours to complete

Week 6: Final Report

Module 6 · 1 Hours to complete

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data Science at Scale - Capstone Project

Advanced

Skill Level

8 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.