CourseEye

Data Science Capstone

Johns Hopkins University via Coursera

Go to Course: https://www.coursera.org/learn/data-science-project

Introduction

Create a useful data product for the public

Apply your exploratory data analysis skills

Build an efficient and accurate prediction model

Produce a presentation deck to showcase your findings

Syllabus

Overview, Understanding the Problem, and Getting the Data

This week, we introduce the project so you can get a clear grip on the problem at hand and begin working with the dataset.

Exploratory Data Analysis and Modeling

This week, we move on to the next tasks, exploratory data analysis and modeling. You'll also submit your milestone report and review submissions from your classmates.

Prediction Model

This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.

Creative Exploration

This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.

Data Product

This week, you'll work on developing the first component of your final project, your data product.

Slide Deck

This week, you'll work on developing the second component of your final project, a slide deck to accompany your data product.

Final Project Submission and Evaluation

This week, you'll submit your final project and review the work of your classmates.

Overview

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.

Skills

Data Analysis Human Learning Machine Learning Machine Learning Algorithms Problem Solving Computer Programming

Reviews

The content of this course is very good and the assignments test the knowledge gainedThe video lectures are some times boring, losing focus.I think video lectures need some improvement

H​ard but very rewarding. Unless you really have already programming experience it highly likely that it will take you more than one try to complete it. R​eally enjoyed it. Very challenging.

Could improve on detailing the material , adding more technical stuff, but then again data science is very vast and it is best i the students explore things on their own

It is a lot of independent work, with guiding questions but no real help otherwise. If that's not your thing, this course is not for. If it is, you'll great a very fun end project.

GREAT opportunity to apply all of the knowledge that I learned over the last year or so. Thank you so much for the guidance the opportunity to learn something new!!!