Data Science
Master the complete data science pipeline from data acquisition to publication with R programming and essential analytical tools.
Master the complete data science pipeline from data acquisition to publication with R programming and essential analytical tools.
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.
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English
বাংলা, اردو, Azərbaycanca
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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
Skills you'll gain
This course includes:
280 Hours PreRecorded video
Access on Mobile
FullTime access
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There are 10 courses in this program
Getting Started with Teradata
Course 1 · 15 Hours to complete · 5 modules
Neural Networks and Random Forests
Course 2 · 10 Hours to complete · 4 modules
Rethinking Logic: Surprising Science of Critical Thinking
Course 3 · 4 Hours to complete · 2 modules
Ethics of Artificial Intelligence
Course 4 · 10 Hours to complete · 4 modules
Critical Thinking for Better Decisions in the ChatGPT Era
Course 5 · 2 Hours to complete · 2 modules
Designing data-intensive applications
Course 6 · 6 Hours to complete · 4 modules
Think Critically: Deductive Reasoning and Mental Models
Course 7 · 2 Hours to complete · 2 modules
Career Support Community and Resources
Course 8 · 16 Hours to complete · 4 modules
Teaching: Building Learning Communities
Course 9 · 13 Hours to complete · 4 modules
Supporting Clients
Course 10 · 17 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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