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Data Analytics: Learning from Data
Data Analytics: Learning from Data
  • Syllabus
  • Schedule
  • Content
  • Examples
  • Exercises
  • Assignments
  • Resources
Overview
  • Readings, lectures, etc.
Course content
  • Before we start
  • 1: Exploratory Data Analysis
  • 2: Data Science Basics
  • 3: Sampling; Probability Distributions
  • 4: Confidence Intervals; hypothesis testing
  • 5: Regression Models
  • 6: Workshop on regression models

Workshop on regression

Read before class on Sunday, October 24, 2021
  • Readings

Readings

  • ModernDive Chapter 10.2-10.3

Last updated on October 12, 2022

EMBA 11: Data Analytics: Learning from Data (Autumn 2022)
Università della Svizzera italiana    Executive MBA

Kostis Christodoulou   
kchristodoulou@london.edu

all days    all times
Face2face, hybrid

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2022 Kostis Christodoulou

This site created with the Academic theme in blogdown and Hugo, with template modifications by Andrew Heiss. Interactive tutorials were developed by Mohannad Shaheen, LBS MAM 2020.

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