diff --git a/lectures/five_preferences.md b/lectures/five_preferences.md
index 2af863da..8068c139 100644
--- a/lectures/five_preferences.md
+++ b/lectures/five_preferences.md
@@ -59,7 +59,7 @@ import matplotlib as mpl
 import matplotlib.pyplot as plt
 from matplotlib import rc
 from scipy import optimize, stats
-from scipy.io import loadmat
+import pandas as pd
 from matplotlib.collections import LineCollection
 from numba import njit
 ```
@@ -1845,7 +1845,7 @@ aversion associated with a logarithmic one-period utility function.
 :tags: [hide-input]
 
 # Load data
-data = loadmat('dataBHS.mat')
+data = pd.read_csv('https://github.com/QuantEcon/data-lectures/raw/main/lectures/dataBHS.csv')
 
 # Set parameter values
 μ_c = 0.004952
@@ -1857,7 +1857,7 @@ data = loadmat('dataBHS.mat')
 :tags: [hide-input]
 
 # Compute consumption growth
-c = data['c']
+c = data[['c']].to_numpy()   # keep the (236, 1) column shape of the source arrays
 c_growth = c[1:] - c[:-1]
 
 # Create histogram of consumption growth
diff --git a/lectures/match_transport.md b/lectures/match_transport.md
index 852dea9d..4c6555ec 100644
--- a/lectures/match_transport.md
+++ b/lectures/match_transport.md
@@ -2231,8 +2231,8 @@ Then we sort  occupations by average log-earnings within each occupation.
 The resulting dataset is included in the dataset `acs_data_summary.csv`
 
 ```{code-cell} ipython3
-data_path = '_static/lecture_specific/match_transport/'
-occupation_df = pd.read_csv(data_path + 'acs_data_summary.csv')
+data_url = 'https://github.com/QuantEcon/data-lectures/raw/main/lectures/'
+occupation_df = pd.read_csv(data_url + 'acs_data_summary.csv')
 ```
 
 +++ {"user_expressions": []}
diff --git a/lectures/risk_aversion_or_mistaken_beliefs.md b/lectures/risk_aversion_or_mistaken_beliefs.md
index 949d2b0c..9284b0e4 100644
--- a/lectures/risk_aversion_or_mistaken_beliefs.md
+++ b/lectures/risk_aversion_or_mistaken_beliefs.md
@@ -1611,8 +1611,7 @@ mystnb:
     name: fig-us-yields
 ---
 data = pd.read_csv(
-    'https://raw.githubusercontent.com/QuantEcon/lecture-python-advanced.myst/refs/heads/'
-    'main/lectures/_static/lecture_specific/risk_aversion_or_mistaken_beliefs/fred_data.csv',
+    'https://github.com/QuantEcon/data-lectures/raw/main/lectures/fred_data.csv',
     parse_dates=['DATE'], index_col='DATE'
 )