diff --git a/src/Documentation/sidebar.json b/src/Documentation/sidebar.json
index 1acf685c48..c6d5e3b69a 100644
--- a/src/Documentation/sidebar.json
+++ b/src/Documentation/sidebar.json
@@ -1,4 +1,9 @@
 [
+  {
+    "slug": "basics",
+    "label": "DVC Basics",
+    "source": "basics/index.md"
+  },
   {
     "slug": "get-started",
     "source": "get-started/index.md",
diff --git a/static/docs/basics/index.md b/static/docs/basics/index.md
new file mode 100644
index 0000000000..9f2e70f9e1
--- /dev/null
+++ b/static/docs/basics/index.md
@@ -0,0 +1,22 @@
+# Learn DVC Basic Concepts and Features
+
+Learn basic concepts and features of DVC with these interactive lessons:
+
+1. [Data Management](https://katacoda.com/dvc/courses/basics/data) <br/> The
+   core function of DVC is data tracking and management. Let's see how to do it.
+
+2. [Getting the Best Performance](https://katacoda.com/dvc/courses/basics/performance)
+   <br/> It is important to optimize the DVC setup for having the best
+   performance with handling big data files.
+
+3. [Tracking Data Versions](https://katacoda.com/dvc/courses/basics/versioning)
+   <br/> DVC takes advantage of GIT's versioning features to keep track of the
+   data versions.
+
+4. [Sharing Data](https://katacoda.com/dvc/courses/basics/sharing) <br/> DVC
+   facilitates sharing of data between different people that work on the same
+   project.
+
+5. [Stages And Pipelines](https://katacoda.com/dvc/courses/basics/pipelines)
+   <br/> DVC has a built-in way to connect ML steps into a DAG and run the full
+   pipeline end-to-end.
diff --git a/static/docs/basics/index.md~ b/static/docs/basics/index.md~
new file mode 100644
index 0000000000..70a3ca7864
--- /dev/null
+++ b/static/docs/basics/index.md~
@@ -0,0 +1,22 @@
+# Learn DVC
+
+Learn basic concepts and features of DVC with these interactive lessons:
+
+1. [Data Management](https://katacoda.com/dvc/courses/basics/data) <br/> The
+   core function of DVC is data tracking and management. Let's see how to do it.
+
+2. [Getting the Best Performance](https://katacoda.com/dvc/courses/basics/performance)
+   <br/> It is important to optimize the DVC setup for having the best
+   performance with handling big data files.
+
+3. [Tracking Data Versions](https://katacoda.com/dvc/courses/basics/versioning)
+   <br/> DVC takes advantage of GIT's versioning features to keep track of the
+   data versions.
+
+4. [Sharing Data](https://katacoda.com/dvc/courses/basics/sharing) <br/> DVC
+   facilitates sharing of data between different people that work on the same
+   project.
+
+5. [Stages And Pipelines](https://katacoda.com/dvc/courses/basics/pipelines)
+   <br/> DVC has a built-in way to connect ML steps into a DAG and run the full
+   pipeline end-to-end.