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Update pages/Intro_DS.py

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  1. pages/Intro_DS.py +7 -7
pages/Intro_DS.py CHANGED
@@ -25,11 +25,11 @@ st.markdown(
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  st.markdown("<h2 style='text-align: center; color: Black;'>Skills Required for Data Science</h2>", unsafe_allow_html=True)
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  st.markdown(
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  "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
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- "<b>style='font-size: 16px; color: Black;Programming Skills:</b> Proficiency in Python, R, SQL, and other programming languages.<br>"
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- "<b>Mathematics and Statistics:</b> Knowledge of probability, linear algebra, and hypothesis testing.<br>"
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- "<b>Machine Learning:</b> Expertise in supervised and unsupervised learning techniques, including regression, classification, and clustering.<br>"
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- "<b>Data Wrangling and ETL:</b> Skills in extracting, manipulating, and loading data for analysis.<br>"
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- "<b>Visualization Tools:</b> Proficiency in tools like Tableau, Power BI, Matplotlib, and Seaborn."
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  "</p>",
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  unsafe_allow_html=True
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  )
@@ -37,8 +37,8 @@ st.markdown("<h2 style='text-align: center; color: Black;'>Applications</h2>", u
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  st.markdown(
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  "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
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  "Data Science can be applied across various industries, including business, healthcare, finance, retail, and social media."
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- "<b>Real World Examples:</b> Real-world Examples Spotify and Netflix utilise user behaviour and preferences to propose music and films.<br>"
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- "<b>Forecast demand, optimize supply chains, and improve customer experiences in Retail Industry</b>."
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  "</p>",
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  unsafe_allow_html=True
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  )
 
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  st.markdown("<h2 style='text-align: center; color: Black;'>Skills Required for Data Science</h2>", unsafe_allow_html=True)
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  st.markdown(
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  "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
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+ "<b style='color: Black;'>Programming Skills:</b> Proficiency in Python, R, SQL, and other programming languages.<br>"
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+ "<b style='color: Black;'>Mathematics and Statistics:</b> Knowledge of probability, linear algebra, and hypothesis testing.<br>"
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+ "<b style='color: Black;'>Machine Learning:</b> Expertise in supervised and unsupervised learning techniques, including regression, classification, and clustering.<br>"
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+ "<b style='color: Black;'>Data Wrangling and ETL:</b> Skills in extracting, manipulating, and loading data for analysis.<br>"
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+ "<b style='color: Black;'>Visualization Tools:</b> Proficiency in tools like Tableau, Power BI, Matplotlib, and Seaborn."
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  "</p>",
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  unsafe_allow_html=True
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  )
 
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  st.markdown(
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  "<p style='font-size: 16px; color: Blue; font-style: italic;'>"
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  "Data Science can be applied across various industries, including business, healthcare, finance, retail, and social media."
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+ "<b style='color: Black;'>Real World Examples:</b> Real-world Examples Spotify and Netflix utilise user behaviour and preferences to propose music and films.<br>"
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+ "<b> Forecast demand, optimize supply chains, and improve customer experiences in Retail Industry</b>."
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  "</p>",
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  unsafe_allow_html=True
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  )