Data Science at Scale - Capstone Project

Learn scalable data management, evaluate big data technologies, and design effective visualizations.This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you'll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you'll apply your

( 3 Reviews )

Created by: Bill Howe

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 86 / 100

Course Description

In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice.

Time: 11h

Instructor Details

Bill Howe

4.3 Rating
3 Reviews

Bill Howe is the Director of Research for Scalable Data Analytics at the UW eScience Institute and holds an Affiliate Assistant Professor appointment in Computer Science & Engineering, where he leads a group studying data management, analytics, and visualization systems for science applications. Howe has received awards from Microsoft Research and honors for papers in scientific data management, and serves on a number of program committees, organizing committees, and advisory boards in the area, including the advisory board of the Data Science certificate program at UW. He holds a Ph.D. in Computer Science from Portland State University and a Bachelor's degree in Industrial & Systems Engineering from Georgia Tech.

Students also recommend

The Data Scientist's Toolbox (2019)

5.0 (792 Reviews)

Provider: Coursera
Time: 8h

Free

Python for Data Science (2017)

4.4 (9 Reviews)

Provider: edX

Free

Python A-Z: Python For Data Science With Real Exercises!

Python A-Z: Python For Data Science With Real Exercises! (2021)

4.5 (472 Reviews)

Provider: Udemy
Time: 11h

11.99

More Courses

More courses by Bill Howe

Practical Predictive Analytics: Models and Methods
3.7 (53 Reviews)

- Provider: Coursera
- Time: 13h

Free

Communicating Data Science Results
3.0 (33 Reviews)

- Provider: Coursera
- Time: 11h

Free

All courses by Bill Howe

Reviews

4.3

3 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Simy R on 2-Jan-17

An interesting problem to tackle. I really liked that you started with very raw data and needed to work on many cleaning methods. Good practice for real data science.

By Alfonso A on 6-Sep-17

The topic and milestone-based schedule are great; you are free to take many decisions but still get enough guidance to avoid straying away from the project goal. Instructor and student commitment is a bit low; there is very little feedback in the forums and submissions are sometimes so shallow that add little value to the reviewer.

By Aref A on 10-Oct-16

This course introduces data science with a emphasis on large scale processing. The project was challenging and very interesting. Applying with I learnt throughout the specialisation to a real problem is very exciting.