- Level Foundation
- المدة 9 ساعات hours
- الطبع بواسطة Howard University
-
Offered by
عن
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!الوحدات
Introduction to Specialization and Course
1
Discussions
- Meet and Greet Forum
3
Videos
- Introduction to Specialization
- Course Introduction
- Instructor Introduction
1
Readings
- Welcome to Capstone: Representing a Data Science Problem in the Linear Algebra Framework
Introduction to the Project
1
Videos
- Introduction to Capstone Project
Task 1: Data Wrangling
1
Peer Review
- Use Data Wrangling on Your Dataset
1
Videos
- Task 1: Use Data Wrangling on Your Dataset
Task 2: Use PCA to Reduce the Number of Dimensions
1
Peer Review
- Use Principle Component Analysis (PCA) to Reduce Dimensions in a Large Dataset
1
Discussions
- Reducing the Number of Dimensions in Your Data Set
1
Videos
- Task 2: Use Principal Component Analysis (PCA) to Reduce the Number of Dimensions
Task 3: Run Your Regression Model
1
Peer Review
- Creating Your Linear Regression Model
2
Videos
- Task 3: Run a Regression Model
- Real World Problem Using Linear Regression Modeling Part 1
Task 4: Interpret the Results from Your Model
1
Peer Review
- Interpreting Results Using Your Model
1
Discussions
- Using Linear Regression Modeling In Your Life
2
Videos
- Task 4: Interpreting Results from a Linear Regression Model
- Real-World Problem Using Linear Regression Modeling Part II
Prepare Your Capstone Project
1
Videos
- How to Combine Tasks 1-4 to Make Your Capstone Project
Submit Your Capstone Project
1
Peer Review
- Capstone Project
1
Discussions
- What Did You Learn From Doing This Project?
Auto Summary
This foundational IT & Computer Science course, led by Coursera, focuses on solving data science problems using a linear algebra framework. Over 540 minutes, learners will develop and execute regression models, then share their findings with peers. Available through Starter and Professional subscriptions, this course is ideal for those looking to enhance their data science skills.

Dennis Davenport

MOUSSA DOUMBIA