diff --git a/bigstatsR_tutorial.R b/bigstatsR_tutorial.R
index 5c7cdb8..def1afe 100755
--- a/bigstatsR_tutorial.R
+++ b/bigstatsR_tutorial.R
@@ -15,12 +15,12 @@ impute_func <- function(X, ind) {
 
 # Read only the first row of the file.
 # This allows us to obtain the number of columns.
-first_row <- fread2("/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data.csv",
+first_row <- fread2("Test_Genotype_Data.csv",
                     nrows = 1)
 col_num <- ncol(first_row)
 
 # Read the entire file using big_read.
-gen_data <- big_read("/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data.csv",
+gen_data <- big_read("Test_Genotype_Data.csv",
                      select = 1:col_num,
                      backingfile = "G2F_Genotype_Data",
                      progress = TRUE,
@@ -69,7 +69,7 @@ big_apply(gen_data,
 
 # Write the newly-imputed data to a new file.
 big_write(gen_data,
-          "/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data_Imputed.csv",
+          "Test_Genotype_Data_Imputed.csv",
           every_nrow = 100,
           progress = interactive())
 
diff --git a/caret_tutorial.R b/caret_tutorial.R
index c393e27..1694cb5 100755
--- a/caret_tutorial.R
+++ b/caret_tutorial.R
@@ -4,13 +4,13 @@ library(data.table)
 ## Data Loading [Predictors]
 
 # Genotype Data
-gen_path <- "/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data_Imputed.csv"
+gen_path <- "Test_Genotype_Data_Imputed.csv"
 gen_data <- fread(gen_path, sep = ",", header = FALSE)
 
 ## Data Loading [Traits]
 
 # Phenotype Data
-phn_path <- "/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Phenotype_Data.csv"
+phn_path <- "Test_Phenotype_Data.csv"
 phn_data <- fread(phn_path, sep = ",", header = FALSE)
 
 ## Data Overview