Fixed links in readme

Author: JAnns98

README.md

@@ -21,19 +21,21 @@ course. This 2-hour class is presented to two groups.
 
 ### The class has the following steps
 
-1.  **Preparation 1.** Read the [Introduction](introduction.html) and
+1.  **Preparation 1.** Read the
+    [Introduction](https://acclab.github.io/moda/introduction.html) and
     install the prerequisite software on your laptop.
 2.  **Preparation 2.** Go through a [Quick Tour of the
-    Notebook](quick_tour_of_the_notebook.html) to familiarise yoruself
-    to the jupyter notebook environment.
+    Notebook](https://acclab.github.io/moda/quick_tour_of_the_notebook.html)
+    to familiarise yourself to the jupyter notebook environment.
 3.  **Session Coding.** Bring your laptop to class, and we will go
     through the examples in [Data Analysis with
-    Jupyter](data_analysis_with_jupyter_and_python.html).
+    Jupyter](https://acclab.github.io/moda/data_analysis_with_jupyter_and_python.html).
 4.  **Lecture.** Crash course on the history of and key issues in data
     visualization.
 5.  **Short introduction to estimation and LLMs.** Introduction to
     estimation statistics [web app](https://www.estimationstats.com/#/)
-    and [python package](dabest_introduction.html).
+    and [python
+    package](https://acclab.github.io/moda/dabest_introduction.html).
 6.  **Continuing education.** Review the Additional Resources page to
     continue your self-education in data analysis.
 

nbs/02_Quick_tour_of_the_Notebook.ipynb

@@ -69,7 +69,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd # Don't worry about this line yet. We'll 3explain it later below!"
+    "import pandas as pd # Don't worry about this line yet. We'll explain it later below!"
    ]
   },
   {

nbs/index.ipynb

@@ -40,11 +40,11 @@
    "source": [
     "### The class has the following steps\n",
     "\n",
-    "1. **Preparation 1.** Read the [Introduction](introduction.html) and install the prerequisite software on your laptop.\n",
-    "2. **Preparation 2.** Go through a [Quick Tour of the Notebook](quick_tour_of_the_notebook.html) to familiarise yoruself to the jupyter notebook environment.\n",
-    "3. **Session Coding.** Bring your laptop to class, and we will go through the examples in [Data Analysis with Jupyter](data_analysis_with_jupyter_and_python.html).\n",
+    "1. **Preparation 1.** Read the [Introduction](https://acclab.github.io/moda/introduction.html) and install the prerequisite software on your laptop.\n",
+    "2. **Preparation 2.** Go through a [Quick Tour of the Notebook](https://acclab.github.io/moda/quick_tour_of_the_notebook.html) to familiarise yourself to the jupyter notebook environment.\n",
+    "3. **Session Coding.** Bring your laptop to class, and we will go through the examples in [Data Analysis with Jupyter](https://acclab.github.io/moda/data_analysis_with_jupyter_and_python.html).\n",
     "4. **Lecture.** Crash course on the history of and key issues in data visualization.\n",
-    "5. **Short introduction to estimation and LLMs.** Introduction to estimation statistics [web app](https://www.estimationstats.com/#/) and [python package](dabest_introduction.html).\n",
+    "5. **Short introduction to estimation and LLMs.** Introduction to estimation statistics [web app](https://www.estimationstats.com/#/) and [python package](https://acclab.github.io/moda/dabest_introduction.html).\n",
     "6. **Continuing education.** Review the Additional Resources page to continue your self-education in data analysis.\n",
     "\n",
     "If you have any questions about these materials, please contact your course coordinator.\n"