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Foundations of Data Analysis (Fall 2021)

UofU Data Science via YouTube

Overview

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Learn fundamental concepts and techniques in data analysis through a comprehensive lecture series from the University of Utah's Data Science program. Master essential skills including data collection, cleaning, exploration, and visualization while developing proficiency in statistical methods and analytical thinking. Explore various data types, measurement scales, and descriptive statistics to build a solid foundation for more advanced data science topics. Gain hands-on experience with real-world datasets and learn to identify patterns, trends, and insights that drive data-driven decision making. Develop critical thinking skills for evaluating data quality, choosing appropriate analytical methods, and interpreting results effectively. Build competency in data manipulation techniques, hypothesis testing, and basic inferential statistics that form the backbone of modern data analysis workflows. Understand the ethical considerations and best practices in data handling while learning to communicate findings clearly to both technical and non-technical audiences.

Syllabus

FoDA Welcome
FoDA (F21) - Lecture 1 : Class Overview
FoDA (F21) - Lecture 2
FoDA (F21) - Lecture 3
FoDA (F21) - L4
FoDA (F21) - Lecture 5
FoDA (F21) - Lecture 6
FoDA (F21) - Lecture 7
FoDA (F21) - Lecture 8
FoDA (F21) - Lecture 9
FoDA (F21) - Lecture 10
FoDA (F21) - L11
FoDA (F21) - Lecture 12
FoDA (F21) - Lecture 13
FoDA (F21) - Lecture 14
FoDA (F21) - Lecture 15
FoDA (F21) - Lecture 16
FoDA (F21) - Lecture 17
FoDA (F21) - Lecture 18
FoDA (F19) - Lecture 19
FoDA (F21) - Lecture 20
FoDA (F21) - Lecture 21 (part 2)
FoDA (F21) - Lecture 22
FoDA (F21) - Lecture 23
FoDA (F21) - Lecture 25
FoDA (F21) - Lecture 24
FoDA (F21) - Lecture 26
FoDA (F21) - Lecture 27
FoDA (F21) - Lecture 28
FoDA (F21) - Lecture 29

Taught by

UofU Data Science

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