About this Course
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Course 10 of 10 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

Suggested: 4-9 hours/week...

English

Subtitles: English

What you will learn

  • Check

    Apply your exploratory data analysis skills

  • Check

    Build an efficient and accurate prediction model

  • Check

    Create a useful data product for the public

  • Check

    Produce a presentation deck to showcase your findings

Skills you will gain

Data ScienceMachine LearningR ProgrammingNatural Language Processing

Course 10 of 10 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

Suggested: 4-9 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Overview, Understanding the Problem, and Getting the Data

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 Corpora10m
Task 1 - Getting and cleaning the data10m
1 practice exercise
Quiz 1: Getting Started12m
Week
2
2 hours to complete

Exploratory Data Analysis and Modeling

2 videos (Total 3 min), 2 readings, 1 quiz
2 videos
Introduction to Task 3: Modeling1m
2 readings
Task 2 - Exploratory Data Analysis10m
Task 3 - Modeling10m
Week
3
1 hour to complete

Prediction Model

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
4
1 hour to complete

Creative Exploration

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
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33%

started a new career after completing these courses

39%

got a tangible career benefit from this course

18%

got a pay increase or promotion

Top reviews from Data Science Capstone

By NTMar 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 SSMar 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

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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg 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....
Data Science

Frequently Asked Questions

  • 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.

  • 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.

More questions? Visit the Learner Help Center.