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Statistics for Data Analysis with Exercises - Lecture 1

Offered By: International Centre for Theoretical Sciences via YouTube

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Statistics & Probability Courses Data Analysis Courses Machine Learning Courses Python Courses Hypothesis Testing Courses Confidence Intervals Courses Statistical Inference Courses Probability Theory Courses High-Energy Physics Courses

Course Description

Overview

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Dive into the fundamentals of statistical analysis for data science in this comprehensive lecture, the first in a series on Statistics for Data Analysis. Explore key concepts and practical applications with exercises led by expert Tommaso Dorigo. Learn essential statistical methods crucial for high energy physics research and data-driven scientific inquiry. Gain valuable insights into handling large datasets, employing machine learning techniques, and interpreting complex statistical results. Perfect for students, postdocs, and researchers in theoretical or experimental particle physics and astro-particle physics looking to enhance their data analysis skills.

Syllabus

Statistics For Data Analysis with Exercises (Lecture 1) by Tommaso Dorigo


Taught by

International Centre for Theoretical Sciences

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