diff --git a/1-Introduction/01-defining-data-science/README.md b/1-Introduction/01-defining-data-science/README.md
index 084e1147..19fb45f0 100644
--- a/1-Introduction/01-defining-data-science/README.md
+++ b/1-Introduction/01-defining-data-science/README.md
@@ -24,7 +24,7 @@ In [Wikipedia](https://en.wikipedia.org/wiki/Data_science), **Data Science** is
 
 This definition highlights the following important aspects of data science:
 
-* The main goal of data science is to **extract knowledge** from data, in order words - to **understand** data, find some hidden relationships and build a **model**.
+* The main goal of data science is to **extract knowledge** from data, in other words - to **understand** data, find some hidden relationships and build a **model**.
 * Data science uses **scientific methods**, such as probability and statistics.  In fact, when the term *data science* was first introduced, some people argued that data science was just a new fancy name for statistics.  Nowadays it has become evident that the field is much broader.    
 * Obtained knowledge should be applied to produce some **actionable insights**, i.e. practical insights that you can apply to real business situations.
 * We should be able to operate on both **structured** and **unstructured** data.  We will come back to discuss different types of data later in the course.
diff --git a/5-Data-Science-In-Cloud/19-Azure/translations/assignment.ne.md b/5-Data-Science-In-Cloud/19-Azure/translations/assignment.ne.md
new file mode 100644
index 00000000..f94794c6
--- /dev/null
+++ b/5-Data-Science-In-Cloud/19-Azure/translations/assignment.ne.md
@@ -0,0 +1,11 @@
+# Azure ML SDK प्रयोग गरेर डाटा विज्ञान परियोजना
+
+## निर्देशन
+
+हामीले Azure ML SDK सँग मोडेललाई तालिम, डिप्लोय, र उपभोग गर्न Azure ML प्लेटफर्म कसरी प्रयोग गर्ने भनेर हेर्यौं। अब केहि डेटा को लागी वरिपरि हेर्नुहोस् जुन तपाईले अर्को मोडेललाई प्रशिक्षित गर्न, प्रयोग गर्न र उपभोग गर्न सक्नुहुन्छ। तपाईंले Kaggle र [Azure Open Datasets](https://azure.microsoft.com/services/open-datasets/catalog?WT.mc_id=academic-40229-cxa&ocid=AID3041109) मा डाटासेट फेला पार्न सक्नुहुन्छ।
+
+## रूब्रिक
+
+|अनुकरणीय | पर्याप्त | सुधारको आवश्यकता |
+
+| AutoML कन्फिगरेसन गरिरहँदा, तपाईंले कुन प्यारामिटरहरू प्रयोग गर्न सक्नुहुन्छ भनी हेर्न SDK कागजात हेर्नुभयो। तपाईंले Azure ML SDK प्रयोग गरेर AutoML मार्फत डेटासेटमा प्रशिक्षण चलाउनुभयो, र तपाईंले मोडेल स्पष्टीकरण जाँच गर्नुभयो। तपाईंले उत्तम मोडेल प्रयोग गर्नुभयो र तपाईं Azure ML SDK मार्फत यसलाई उपभोग गर्न सक्षम हुनुभयो।|तपाईंले Azure ML SDK प्रयोग गरेर AutoML मार्फत डेटासेटमा प्रशिक्षण चलाउनुभयो, र तपाईंले मोडेल स्पष्टीकरण जाँच गर्नुभयो। तपाईंले उत्तम मोडेल प्रयोग गर्नुभयो र तपाईं Azure ML SDK मार्फत यसलाई उपभोग गर्न सक्षम हुनुभयो। | तपाईंले Azure ML SDK प्रयोग गरेर AutoML मार्फत डेटासेटमा प्रशिक्षण दिनुभयो। तपाईंले उत्तम मोडेल प्रयोग गर्नुभयो र तपाईं Azure ML SDK मार्फत यसलाई उपभोग गर्न सक्षम हुनुभयो। |
diff --git a/docs/_sidebar.md b/docs/_sidebar.md
index 2701ba71..cbabcc41 100644
--- a/docs/_sidebar.md
+++ b/docs/_sidebar.md
@@ -16,11 +16,11 @@
   - [Meaningful Visualizations](../3-Data-Visualization/13-meaningful-visualizations/README.md)
 - Data Science Lifecycle
   - [Introduction](../4-Data-Science-Lifecycle/14-Introduction/README.md)
-  - [Analyzing](../4-Data-Science-Lifecycle/15-Analyzing/README.md)
-  - [Communication](../4-Data-Science-Lifecycle/16-Communication/README.md)
+  - [Analyzing](../4-Data-Science-Lifecycle/15-analyzing/README.md)
+  - [Communication](../4-Data-Science-Lifecycle/16-communication/README.md)
 - Data Science in the Cloud
   - [Introduction](../5-Data-Science-In-Cloud/17-Introduction/README.md)
   - [Low Code](../5-Data-Science-In-Cloud/18-Low-Code/README.md)
   - [Azure](../5-Data-Science-In-Cloud/19-Azure/README.md)
 - Data Science in the Wild
-  - [DS In The Wild](../6-Data-Science-In-Wild/README.md)
\ No newline at end of file
+  - [DS In The Wild](../6-Data-Science-In-Wild/README.md)