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Starts 7 June 2025 00:09
Ends 7 June 2025
Fundamentals of Statistics
University of Colorado System
10 Courses
The University of Colorado System consists of four campuses throughout the state and provides education to more than 70,000 students each year. CU offers a broad spectrum of academic programs, inclusive of highly-rated graduate programs in the disciplines of business, law, and engineering.
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Overview
Explore the essence of statistics and its profound impact on machine learning, data science, and artificial intelligence with the "Fundamentals of Statistics" course. This comprehensive class, offered by the University of Colorado System through edX, delves deep into the mathematical foundations of statistical principles.
From constructing estimators and tests to evaluating their asymptotic performance, students will gain a robust understanding of data analysis techniques.
The course syllabus extends to addressing complex queries encompassing model suitability, variable selection in linear regression, nonlinear phenomena modeling, and visualization of high-dimensional data. Beyond acquiring a myriad list of methods, participants will comprehend the mathematical principles interconnecting these methodologies, thereby equipping themselves with the prowess to innovate new analytical tools.
Significantly, this curriculum serves as a cornerstone of the MITx MicroMasters Program in Statistics and Data Science.
Aspiring data science professionals are offered an unprecedented opportunity to master essential skills paralleling the rigor of an on-campus MIT course. Completing this course alongside three others from MITx and successfully passing a virtual proctored exam earns participants the MicroMasters credential.
This prestigious accolade signifies proficiency in data science, potentially expediting a path towards an MIT PhD or a Master's degree at other esteemed universities. Discover more about this transformative program at https:
//micromasters.mit.edu/ds/.
Tagged under Statistics & Probability Courses and Data Science Courses, this educational experience promises to refine your analytical capabilities and broaden your understanding of statistical applications in modern technology landscapes.
Taught by
Philippe Rigollet and Jan-Christian Hütter
