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.
About this Course
4.5
757 ratings
What you will learn
Apply your exploratory data analysis skills
Build an efficient and accurate prediction model
Create a useful data product for the public
Produce a presentation deck to showcase your findings
Skills you will gain
Data ScienceMachine LearningR ProgrammingNatural Language Processing
Syllabus - What you will learn from this course
Week
1Overview, 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.
7 videos (Total 20 min), 5 readings, 1 quiz
7 videos
Welcome from SwiftKey1m
You Are a Data Scientist Now1m
Introduction to Task 0: Understanding the Problem1m
Introduction to Task 1: Getting and Cleaning the Data1m
Regular Expressions: Part 1 (Optional)5m
Regular Expressions: Part 2 (Optional)8m
5 readings
Project Overview10m
Syllabus10m
Task 0 - Understanding the problem10m
About the Copora10m
Task 1 - Getting and cleaning the data10m
1 practice exercise
Quiz 1: Getting Started12m
Week
2Exploratory 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.
2 videos (Total 3 min), 2 readings, 1 quiz
2 readings
Task 2 - Exploratory Data Analysis10m
Task 3 - Modeling10m
Week
3Prediction Model
This week, you'll build and evaluate your prediction model. The goal is to make your model efficient and accurate.
1 video (Total 1 min), 1 reading, 1 quiz
1 reading
Task 4 - Prediction Model10m
1 practice exercise
Quiz 2: Natural language processing I20m
Week
4Creative Exploration
This week's goal is to improve the predictive accuracy while reducing computational runtime and model complexity.
1 video (Total 1 min), 1 reading, 1 quiz
1 reading
Task 5 - Creative Exploration10m
1 practice exercise
Quiz 3: Natural language processing II20m
4.5
206 Reviews34%
started a new career after completing these courses
40%
got a tangible career benefit from this course
22%
got a pay increase or promotion
Top Reviews
By NT•Mar 5th 2018
Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.
By SS•Mar 29th 2017
Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!
Instructors
Jeff Leek, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brian Caffo, PhD
Professor, BiostatisticsBloomberg School of Public Health
About Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
About the Data Science Specialization
Ask the right questions, manipulate data sets, and create visualizations to communicate results.
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
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. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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