Howard University
Capstone: Data Science Problem in Linear Algebra Framework
Howard University

Capstone: Data Science Problem in Linear Algebra Framework

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

Taught in English

Dennis Davenport
MOUSSA DOUMBIA

Instructors: Dennis Davenport

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

8 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Add to your LinkedIn profile

Course

Gain insight into a topic and learn the fundamentals

8 hours (approximately)
Flexible schedule
Learn at your own pace

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

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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
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There are 4 modules in this course

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

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

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.

What's included

1 video1 peer review1 discussion prompt

Instructors

Dennis Davenport
Howard University
4 Courses3,813 learners

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