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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
@@ -13,12 +13,12 @@ st.markdown(
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  st.markdown("<h2 style='text-align: center; color: Black;'>Key Aspects of 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>Data Collection:</b> Gathering information from various sources such as databases, sensors, web scraping, and APIs.<br>"
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- "<b>Data Cleaning:</b> Preparing raw data by correcting errors, filling in missing values, and addressing formatting issues.<br>"
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- "<b>Data Analysis:</b> Using statistical and exploratory tools to uncover patterns and trends in data.<br>"
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- "<b>Data Modeling:</b> Creating predictive or descriptive models using machine learning techniques.<br>"
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- "<b>Data Visualization:</b> Presenting data and insights using charts, graphs, and dashboards in an easy-to-understand format.<br>"
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- "<b>Decision Making:</b> Leveraging insights to solve business problems, optimize processes, or develop new products."
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  "</p>",
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  unsafe_allow_html=True
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  )
@@ -38,7 +38,7 @@ 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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  )
 
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  st.markdown("<h2 style='text-align: center; color: Black;'>Key Aspects of 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;>Data Collection:</b> Gathering information from various sources such as databases, sensors, web scraping, and APIs.<br>"
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+ "<b style='color: Black;>Data Cleaning:</b> Preparing raw data by correcting errors, filling in missing values, and addressing formatting issues.<br>"
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+ "<b style='color: Black;>Data Analysis:</b> Using statistical and exploratory tools to uncover patterns and trends in data.<br>"
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+ "<b style='color: Black;>Data Modeling:</b> Creating predictive or descriptive models using machine learning techniques.<br>"
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+ "<b style='color: Black;>Data Visualization:</b> Presenting data and insights using charts, graphs, and dashboards in an easy-to-understand format.<br>"
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+ "<b style='color: Black;>Decision Making:</b> Leveraging insights to solve business problems, optimize processes, or develop new products."
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  "</p>",
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  unsafe_allow_html=True
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  )
 
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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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+ "Forecast demand, optimize supply chains, and improve customer experiences in Retail Industry."
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  "</p>",
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  unsafe_allow_html=True
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  )