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Data Science Foundations: Statistical Inference
Master core statistical methods and probability theory to analyze data, build models, and support decision-making in data science applications.
Course Cost
₹ 5,199
Intermediate
Skill Level
107 Hours
Self-paced lessons
This specialization provides a comprehensive foundation in probability theory and statistical inference for data science. Students learn fundamental statistical concepts, estimation techniques, and hypothesis testing methods while developing practical skills in R programming through hands-on exercises and data analysis projects.
13,636 Enrolled
English
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13,636 Enrolled
English
What you'll learn
Master probability theory fundamentals for data science
Perform statistical inference and estimation
Construct and interpret confidence intervals
Develop hypothesis testing skills
Analyze data using R programming
Apply statistical methods to real datasets
Understand advanced statistical concepts
Skills you'll gain
This course includes:
107 Hours PreRecorded video
Exercises in Jupyter Notebooks and benchmark quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 3 courses in this program
Probability Theory: Foundation for Data Science
Course 1 · 40 Hours to complete · 7 modules
Statistical Inference for Estimation in Data Science
Course 2 · 26 Hours to complete · 6 modules
Statistical Inference and Hypothesis Testing in Data Science
Course 3 · 32 Hours to complete · 6 modules
Fee Structure
Payment options
Financial Aid
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