Update pages/Intro_to_DataScience.py

pages/Intro_to_DataScience.py

@@ -19,10 +19,9 @@ st.markdown(
     """,
     unsafe_allow_html=True)
 st.caption("***Transform raw data into groundbreaking insights***")
-st.markdown(
-    """
+st.markdown("""
     <div style="text-align: center;">
-        <img src=
+        <img src ="https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/NKC0jlCUxHAR693zj_PFA.jpeg"
         width="300" 
         style="border-radius: 15px; border: 5px solid #FF6F61; box-shadow: 5px 5px 20px rgba(0, 0, 0, 0.15); transition: transform 0.3s;">
     </div>
@@ -46,8 +45,7 @@ st.markdown("""
     """,
     unsafe_allow_html=True)
 
-st.markdown(
-    """
+st.markdown("""
     <style>
     .content {
         font-size: 16px;
@@ -66,10 +64,10 @@ st.markdown(
     }
     </style>
     <p class="content">
-        Data science is the practice of using data to find useful information, make predictions, and solve problems. 
-        It involves collecting data, cleaning it, analyzing it to discover patterns, and using those patterns to make smart decisions. 
-        Data scientists use tools and techniques to understand the data and share their findings with others to help improve decisions in businesses and other areas.
+        Data Science is a huge field that combines statistical analysis, programming, machine learning, and domain expertise to extract insights and knowledge from structured and unstructured data. 
+        It involves collecting, cleaning, analyzing, and visualizing data to uncover patterns, trends, and actionable insights.
+        Data Science empowers businesses and researchers to solve complex problems, predict future outcomes, and make data-driven decisions in a rapidly evolving world.
     </p>
     """,
-    unsafe_allow_html=True
-)
+    unsafe_allow_html=True)
+