Data Science: Statistics and Machine Learning
Master advanced data science with Johns Hopkins—learn statistical inference, regression, machine learning, and develop real-world data products.
Master advanced data science with Johns Hopkins—learn statistical inference, regression, machine learning, and develop real-world data products.
This comprehensive specialization builds upon foundational data science knowledge, focusing on advanced statistical methods and machine learning techniques. Students learn to perform regression analysis, develop prediction functions, and create interactive data products. The program covers statistical inference, machine learning methods, and practical application through hands-on projects. With five courses culminating in a capstone project, learners develop expertise in using R for data analysis and visualization, building predictive models, and creating public-facing data products. The specialization emphasizes both theoretical understanding and practical implementation.
4.5
(617 ratings)
38,216 already enrolled
English
বাংলা, اردو, Azərbaycanca
Powered by
What you'll learn
Master statistical inference and hypothesis testing techniques
Develop expertise in regression analysis and machine learning algorithms
Create interactive data visualizations and web applications
Build and deploy prediction models using R
Design and implement public-facing data products
Apply advanced statistical methods to real-world datasets
Skills you'll gain
This course includes:
130 Hours PreRecorded video
Peer-graded assignments in each course
Access on Mobile, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 courses in this program
Designing data-intensive applications
Course 1 · 6 Hours to complete · 4 modules
Think Critically: Deductive Reasoning and Mental Models
Course 2 · 2 Hours to complete · 2 modules
Career Support Community and Resources
Course 3 · 16 Hours to complete · 4 modules
Teaching: Building Learning Communities
Course 4 · 13 Hours to complete · 4 modules
Supporting Clients
Course 5 · 17 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.