Update pages/Introduction to Data Science.py

pages/Introduction to Data Science.py

@@ -4,7 +4,7 @@ st.title(":blue[Introduction to Data Science]")
 st.header(":violet[1. What is Data Science?]")
 st.write("Data science is a blend of statistical analysis, machine learning, and domain expertise used to understand and interpret complex data to inform decisions and make predictions. It involves collecting, processing, analyzing, and interpreting large sets of data using programming, mathematics, and advanced analytics techniques to discover patterns and solve complex problems.")
 st.image("https://learneverythingai.com/wp-content/uploads/2022/05/lea-e1651700295137.jpg",width=550)
-st.subheader(":rainbow[Life cycle of Data Scince:-]")
+st.subheader(":rainbow[Life cycle of Data Science:-]")
 st.markdown(":red[**1.Data Collection:**] This involves gathering raw data from various sources, which can include databases, web logs, or real-time data streams.")
 st.markdown(":red[**2.Data Preparation:**] The collected data must be cleaned and transformed into a usable format. This includes removing errors, handling missing values, and normalizing data.")
 st.markdown(":red[**3.Data Analysis: :**] Utilizing statistical methods and machine learning algorithms, data scientists analyze the data to uncover trends and patterns.")