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Data Science
Master the complete data science pipeline from data acquisition to publication with R programming and essential analytical tools.
Course Cost
₹ 5,199
Beginner
Skill Level
286 Hours
Self-paced Video lessons
This comprehensive specialization from Johns Hopkins University covers the entire data science process. Students learn to use R for data cleaning, analysis, and visualization while mastering statistical concepts and machine learning techniques. The program emphasizes practical skills through hands-on projects, including working with real-world data sets and using tools like GitHub for project management. The curriculum culminates in a capstone project where students build a data product to demonstrate their expertise.
4.5
4,96,255 Enrolled
English
4.5
4,96,255 Enrolled
English
What you'll learn
Master R programming for data analysis
Clean and prepare data for analysis
Create effective data visualizations
Perform statistical inference and modeling
Implement machine learning algorithms
Develop interactive data products
Use GitHub for version control
Conduct reproducible research
Skills you'll gain
This course includes:
286 Hours PreRecorded video
Access on Mobile
FullTime access
Shareable certificate
Get a Completion Certificate
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CREATED BY
PROVIDED BY
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 10 courses in this program
The Data Scientist's Toolbox
Course 1 · 16 Hours to complete · 4 modules
R Programming
Course 2 · 56 Hours to complete · 4 modules
Getting and Cleaning Data
Course 3 · 18 Hours to complete · 4 modules
Exploratory Data Analysis
Course 4 · 54 Hours to complete · 4 modules
Reproducible Research
Course 5 · 7 Hours to complete · 4 modules
Statistical Inference
Course 6 · 53 Hours to complete · 4 modules
Regression Models
Course 7 · 52 Hours to complete · 4 modules
Practical Machine Learning
Course 8 · 7 Hours to complete · 4 modules
Developing Data Products
Course 9 · 8 Hours to complete · 5 modules
Data Science Capstone
Course 10 · 5 Hours to complete · 7 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
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