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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.
Course Cost
₹ 5,199
Intermediate
Skill Level
131 Hours
Self-paced Video lessons
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
38,216 Enrolled
English
4.5
38,216 Enrolled
English
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
Develop proficiency in R programming for data analysis
Skills you'll gain
This course includes:
131 Hours PreRecorded video
Peer-graded assignments in each course
Access on Mobile, Desktop
FullTime access
Shareable certificate
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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
Statistical Inference
Course 1 · 53 Hours to complete · 4 modules
Regression Models
Course 2 · 52 Hours to complete · 4 modules
Practical Machine Learning
Course 3 · 7 Hours to complete · 4 modules
Developing Data Products
Course 4 · 8 Hours to complete · 5 modules
Data Science Capstone
Course 5 · 5 Hours to complete · 7 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
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