In this set of exercises we shall follow the practice of conducting an experimental study. Researcher wants to see if there is any influence of working-out on body mass. Three groups of subjects with similar food and sport habits were included in the experiment. Each group was subjected to a different set of exercises. Body […]

# Exercises

## Data science for Doctors: Cluster Analysis Exercises

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]

## User Defined Functions in R Exercises (Part 1)

In the Exercises we will discuss User Defined Function in R Answers to the exercises are available here. Exercise 1 Create a function to print square of number Exercise 2 Create a function to print a number raise to another with the one argument a default argument Exercise 3 Create a function to print class […]

## Shiny Application Layouts Exercises (Part-1)

Shiny Application Layouts part 1 Welcome to the first part of our new series “Shiny Application Layouts”. As you can understand from the title we will see how to organize the output of our application in various ways. For this reason we will build together 10 simple apps that will help you understand what kind […]

## Forecasting: Exponential Smoothing Exercises (Part-3)

Exponential smoothing is a method of finding patterns in time series, which can be used to make forecasts. In its simple form, exponential smoothing is a weighted moving average: each smoothed value is a weighted average of all past time series values (with weights decreasing exponentially from the most recent to the oldest values). In […]

## Data science for Doctors: Inferential Statistics Exercises(Part-5)

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]

## Forecasting: Linear Trend and ARIMA Models Exercises (Part-2)

There are two main approaches to time series forecasting. One of them is to find persistent patterns in a time series itself, and extrapolate those patterns. Another approach is to discover how a series depend on other variables, which serve as predictors. This set of exercises focuses on the first approach, while the second one […]

## Data Science for Operational Excellence (Part-2)

Network problems are everywhere. We can easily find instances in logistics, telecom, project mangement, among others. In order to attack these problems using linear programming we need to go beyond assign and transportation problems that we saw in part I. Our goal here is to expand the problems we can solve using lpsove and igraph […]

## Forecasting for small business Exercises (Part-1)

Uncertainty is the biggest enemy of a profitable business. That is especially true of small business who don’t have enough resources to survive an unexpected diminution of revenue or to capitalize on a sudden increase of the demand. In this context, it is especially important to be able to predict accurately the change in the […]

## Data Structures Exercises (Part 2)

In the Exercises we will cover Hashes, Factors and Zoo in R Answers to the exercises are available here. Exercise 1 Create a Hash based Key Value Pairs with three employees, with Employees as the key and the name as the values. Exercise 2 Create Hash of an Employee with the Name, Age, Address & […]