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Data Science in 8 Minutes

Track :

Programming

Lessons no : 80

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What will you learn in this course?
  • Master fundamental data analysis techniques using Python and R for real-world business insights and decision-making
  • Apply statistical methods and data visualization tools to interpret complex datasets effectively
  • Develop predictive models and machine learning algorithms to forecast trends and optimize outcomes
  • Utilize data cleaning, preprocessing, and feature engineering skills to prepare high-quality datasets for analysis
  • Implement data storytelling and visualization best practices to communicate findings clearly to stakeholders
  • Navigate big data tools and frameworks like Hadoop and Spark for scalable data processing and analysis
  • Design and evaluate data-driven solutions to solve practical problems across various industries
  • Integrate data science workflows into business processes to enhance operational efficiency and strategic planning
  • Use SQL and database management skills to extract, manipulate, and analyze large datasets efficiently
  • Identify ethical considerations and ensure data privacy and security in data science projects
  • Apply version control and collaborative tools for effective teamwork in data science projects
  • Leverage cloud computing platforms like AWS or Azure for scalable data storage and analysis
  • Develop critical thinking and problem-solving skills for complex data challenges
  • Stay updated with emerging data science trends, tools, and techniques for continuous professional growth

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Lessons | 80
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BATHULA MANISAKETH

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2025-06-19

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