Специализация Data Science
Launch Your Career in Data Science. A nine-course introduction to data science, developed and taught by leading professors.
Специализация Data Science
10 coursesЧему вы научитесь
- 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
Приобретаемые навыки
Syllabus - What you will learn from this course
1
Overview, Understanding the Problem, and Getting the Data
2
Exploratory Data Analysis and Modeling
3
Prediction Model
4
Creative Exploration
5
Data Product
6
Slide Deck
7
Final Project Submission and Evaluation
34%
83%
22%
Top Reviews
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.
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, Biostatistics
Roger D. Peng, PhD
Associate Professor, Biostatistics
Brian Caffo, PhD
Professor, BiostatisticsAbout Johns Hopkins University
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 pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.
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