diff --git a/docs/ai/data-visualization/bi-tools.md b/docs/ai/data-visualization/bi-tools.md
index a6454a45ec8..431c4f8125f 100755
--- a/docs/ai/data-visualization/bi-tools.md
+++ b/docs/ai/data-visualization/bi-tools.md
@@ -34,7 +34,7 @@ Overall, both Power BI and Google data studio are similar when it comes to data
 
 7. Sisense - https://www.sisense.com
 
-![image](../../../media/Data-Visualization_BI-Tools-image1.jpg)
+![image](../../media/Data-Visualization_BI-Tools-image1.jpg)
 
 https://medium.com/activewizards-machine-learning-company/a-comparative-analysis-of-top-6-bi-and-data-visualization-tools-in-2018-658490665973
 
diff --git a/docs/ai/data-visualization/charts.md b/docs/ai/data-visualization/charts.md
index 0b8187aec9f..2b0285d7574 100755
--- a/docs/ai/data-visualization/charts.md
+++ b/docs/ai/data-visualization/charts.md
@@ -42,7 +42,7 @@
 12. Sanky Diagram
 13. Linear-Gauge Chart
 
-![image](../../../media/Data-Visualization_Charts-image2.jpg)
+![image](../../media/Data-Visualization_Charts-image2.jpg)
 
 ## Statistical and Seaborn-style Charts
 
diff --git a/docs/ai/data-visualization/matplotlib.md b/docs/ai/data-visualization/matplotlib.md
index ec39f398d24..771e439d6e6 100755
--- a/docs/ai/data-visualization/matplotlib.md
+++ b/docs/ai/data-visualization/matplotlib.md
@@ -43,15 +43,15 @@ plt.ylabel("# of tweets")
 plt.show()
 ```
 
-![image](../../../media/Data-Visualization_Matplotlib-image1.jpg)
+![image](../../media/Data-Visualization_Matplotlib-image1.jpg)
 
-![image](../../../media/Data-Visualization_Matplotlib-image2.jpg)
+![image](../../media/Data-Visualization_Matplotlib-image2.jpg)
 
-![image](../../../media/Data-Visualization_Matplotlib-image3.jpg)
+![image](../../media/Data-Visualization_Matplotlib-image3.jpg)
 
-![image](../../../media/Data-Visualization_Matplotlib-image4.jpg)
+![image](../../media/Data-Visualization_Matplotlib-image4.jpg)
 
-![image](../../../media/Data-Visualization_Matplotlib-image5.jpg)
+![image](../../media/Data-Visualization_Matplotlib-image5.jpg)
 
 ## Others
 
diff --git a/docs/ai/data-visualization/powerbi.md b/docs/ai/data-visualization/powerbi.md
index 8fb167029c3..d2fb5838386 100755
--- a/docs/ai/data-visualization/powerbi.md
+++ b/docs/ai/data-visualization/powerbi.md
@@ -132,7 +132,7 @@ https://docs.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-overv
 
 4. Future proof
 
-![image](../../../media/Data-Visualization_PowerBI-image1.jpg)
+![image](../../media/Data-Visualization_PowerBI-image1.jpg)
 
 https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-aggregations
 
diff --git a/docs/ai/data-visualization/tableau/architecture-components.md b/docs/ai/data-visualization/tableau/architecture-components.md
index 34c9cc27ebd..9059b221e5e 100644
--- a/docs/ai/data-visualization/tableau/architecture-components.md
+++ b/docs/ai/data-visualization/tableau/architecture-components.md
@@ -9,11 +9,11 @@
 
 ## Tableau Server Architecture
 
-![tableau-architecture-diagram](media/Pasted%20image%2020230714180101.png)
+![tableau-architecture-diagram](../../../media/Pasted%20image%2020230714180101.png)
 
 ### Tableau Server Deployment Reference Architecture
 
-![tableau-server-deployment-reference-architecture](media/Pasted%20image%2020230714180337.png)
+![tableau-server-deployment-reference-architecture](../../../media/Pasted%20image%2020230714180337.png)
 
 ## Components of Tableau Server
 
diff --git a/docs/ai/data-visualization/tableau/dashboarding.md b/docs/ai/data-visualization/tableau/dashboarding.md
index a84bde6e7cc..3aaf5318bfa 100644
--- a/docs/ai/data-visualization/tableau/dashboarding.md
+++ b/docs/ai/data-visualization/tableau/dashboarding.md
@@ -49,7 +49,7 @@ Data source filters in Tableau are mainly used to restrict sensitive data from v
 
 ## Legends
 
-![legends](media/Screenshot%202023-08-21%20at%2011.17.31%20AM.jpg)
+![legends](../../../media/Screenshot%202023-08-21%20at%2011.17.31%20AM.jpg)
 
 [https://public.tableau.com/app/profile/nastengraph/viz/Howtoplacelegendstocharts/Legendsandcharts](https://public.tableau.com/app/profile/nastengraph/viz/Howtoplacelegendstocharts/Legendsandcharts)
 
diff --git a/docs/ai/data-visualization/tableau/data-model.md b/docs/ai/data-visualization/tableau/data-model.md
index 557a3e4c963..e6faa6b020f 100644
--- a/docs/ai/data-visualization/tableau/data-model.md
+++ b/docs/ai/data-visualization/tableau/data-model.md
@@ -13,7 +13,7 @@ The data model has two layers:
 
 Noodles = Relationships
 
-![relationship-logical-layer](media/Pasted%20image%2020230320181009.png)
+![relationship-logical-layer](../../../media/Pasted%20image%2020230320181009.png)
 
 The top-level view of a data source with multiple, related tables. This is the logical layer. Logical tables can be combined using relationships (noodles). They don't use join types. They act like containers for physical tables.
 
@@ -21,7 +21,7 @@ The top-level view of a data source with multiple, related tables. This is the l
 
 Venn diagram = Joins
 
-![relationship-physical-layer](media/Pasted%20image%2020230320181018.png)
+![relationship-physical-layer](../../../media/Pasted%20image%2020230320181018.png)
 
 Double-click a logical table to open it and see its physical tables. Physical tables can be combined using joins or unions. In this example, the Book logical table is made of three, joined physical tables (Book, Award, Info).