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Data Analysis and Statistical Inference – Data Camp

Data Camp
0-6 Month Online
Beginner Contact Institute
Online Business Analytics
Online Self Paced 2458


[su_tab title = “Description”]

In this course you are introduced to the discipline of statistics as a science of understanding and analyzing data. You will learn how to effectively make use of data in the face of uncertainty: how to collect data, how to analyze data, and how to use data to make inferences and conclusions about real world phenomena.


[su_tab title = “Program Structure”]

Course Content

  • Lab 0 – Introduction to R
  • Lab 1 – Introduction to data
  • Lab 2 – Probability
  • Lab 3A – Foundations for inference: Sampling distributions
  • Lab 3B – Foundations for inference: Confidence intervals
  • Lab 4 – Inference for numerical data
  • Lab 5 – Inference for categorical data
  • Lab 6 – Introduction to linear regression
  • Lab 7 – Multiple linear regression


9 Hours


[su_tab title =”Eligibility”]

  • No formal background is required for this course, but some basic mathematical skills will come in handy. A genuine interest in data analysis is a plus!


[su_tab title =”Tools”]

  • R


[su_tab title = “Faculty”]

  • Mine Çetinkaya-Rundel (Duke University)


[su_tab title = “Contact”]

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