Data Science

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Data Science

Data science examines data, statistics, machine learning, algorithms, programming, modeling, visualization, and decision making to solve real-world problems.

5 Curriculumn

3 Students

2h 15m
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₹62
( 1 Review )

Data science combines data, process, and domain expertise to derive meaningful insights from data. It uses machine learning and AI to drive decision-making across industries, collecting, analyzing, visualizing and modeling data.

  • Combines statistics, programming, and domain knowledge.
  • Analyzes structured and unstructured data.
  • Utilizes machine learning and AI techniques.
  • Involves data cleaning and preprocessing.
  • Extracts actionable insights for decision-making.
  • Applies algorithms to uncover patterns.
  • Data engineers support infrastructure setup.
  • Requires strong critical thinking skills.
  • Enables personalization and recommendation systems.
  • Drives innovation in automation and optimization.
  • Powers predictive and prescriptive analytics.
  • Used in industries like healthcare, finance, and e-commerce.
  • Relies on tools like Python, R, and SQL.
  • Employs visualization tools (Tableau, Power BI).
  • Focuses on large-scale data (Big Data).
Course Info
  • 2
  • 1
  • 2
  • 2 hours 15 minutes
  • 4
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