When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Capstone: Data Science Problem in Linear Algebra Framework

3 days left! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Capstone: Data Science Problem in Linear Algebra Framework

This course is part of Linear Algebra for Data Science Using Python Specialization

Instructors: Dennis Davenport

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

9 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

91%

of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Linear Algebra for Data Science Using Python Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!

Module details

In module 1, you’ll learn about the steps you will take to complete the Capstone Project. We will cover the following learning objectives.

What's included

4 videos1 reading1 discussion prompt

Let’s recap! In module 1, you were introduced to the Capstone project and Tasks 1-4. In module 2, you’ll complete Task 1: Data wrangling and Task 2: Use PCA to reduce the number of dimensions. We will cover the following learning objectives.

What's included

2 videos2 peer reviews1 discussion prompt

2 videosTotal 13 minutes

Task 1: Use Data Wrangling on Your Dataset8 minutes
Task 2: Use Principal Component Analysis (PCA) to Reduce the Number of Dimensions5 minutes

2 peer reviewsTotal 180 minutes

Use Data Wrangling on Your Dataset90 minutes
Use Principle Component Analysis (PCA) to Reduce Dimensions in a Large Dataset90 minutes

1 discussion promptTotal 10 minutes

Reducing the Number of Dimensions in Your Data Set10 minutes

Let’s recap! In module 2, you learned how to complete Tasks 1 & Task 2. In module 3, you will learn how to complete Task 3: Run your regression model and Task 4: Interpret the results from your model. We will cover the following learning objectives.

What's included

4 videos2 peer reviews1 discussion prompt

4 videosTotal 19 minutes

Task 3: Run a Regression Model2 minutes
Real World Problem Using Linear Regression Modeling Part 16 minutes
Task 4: Interpreting Results from a Linear Regression Model7 minutes
Real-World Problem Using Linear Regression Modeling Part II4 minutes

2 peer reviewsTotal 180 minutes

Creating Your Linear Regression Model90 minutes
Interpreting Results Using Your Model90 minutes

1 discussion promptTotal 10 minutes

Using Linear Regression Modeling In Your Life10 minutes

Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: Data wrangling (Task 1),Use PCA to Reduce the Number of Dimensions (Task 2), Run your regression model (Task 3) and, Interpret the results from your model (Task 4). In this final module you will prepare your final Capstone Project, submit it, discuss what you learned and complete peer reviews. We will cover the following learning objectives.