diff --git a/lectures/inequality.md b/lectures/inequality.md
index d066b7ab..0b649cbd 100644
--- a/lectures/inequality.md
+++ b/lectures/inequality.md
@@ -618,7 +618,7 @@ df_income_wealth.year.describe()
 [This notebook](https://github.com/QuantEcon/lecture-python-intro/tree/main/lectures/_static/lecture_specific/inequality/data.ipynb) can be used to compute this information over the full dataset.
 
 ```{code-cell} ipython3
-data_url = 'https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/inequality/usa-gini-nwealth-tincome-lincome.csv'
+data_url = 'https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/usa-gini-nwealth-tincome-lincome.csv'
 ginis = pd.read_csv(data_url, index_col='year')
 ginis.head(n=5)
 ```
diff --git a/lectures/simple_linear_regression.md b/lectures/simple_linear_regression.md
index a2a8132c..d8962d6a 100644
--- a/lectures/simple_linear_regression.md
+++ b/lectures/simple_linear_regression.md
@@ -408,12 +408,12 @@ Let's consider two economic variables GDP per capita and Life Expectancy.
 <iframe src="https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita" loading="lazy" style="width: 100%; height: 600px; border: 0px none;"></iframe>
 :::
 
-You can download {download}`a copy of the data here <https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/simple_linear_regression/life-expectancy-vs-gdp-per-capita.csv>` if you get stuck
+You can download {download}`a copy of the data here <https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/life-expectancy-vs-gdp-per-capita.csv>` if you get stuck
 
 **Q3:** Use `pandas` to import the `csv` formatted data and plot a few different countries of interest
 
 ```{code-cell} ipython3
-data_url = "https://github.com/QuantEcon/lecture-python-intro/raw/main/lectures/_static/lecture_specific/simple_linear_regression/life-expectancy-vs-gdp-per-capita.csv"
+data_url = "https://raw.githubusercontent.com/QuantEcon/data-lectures/main/lectures/life-expectancy-vs-gdp-per-capita.csv"
 df = pd.read_csv(data_url, nrows=10)
 ```