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Intro to Data Science

Track :

Programming

Lessons no : 18

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What will you learn in this course?
  • Master data collection and cleaning techniques for accurate analysis and insights in data science projects
  • Apply statistical methods and data visualization tools to interpret complex datasets effectively
  • Utilize programming languages like Python or R for data analysis, modeling, and automation in real-world scenarios
  • Implement machine learning algorithms to predict trends and make data-driven decisions
  • Develop dashboards and reports to communicate findings clearly to stakeholders and non-technical audiences
  • Identify and address common data quality issues to ensure reliable and valid results
  • Leverage data science tools and libraries to streamline data processing and analysis workflows
  • Understand ethical considerations and data privacy practices in handling sensitive information

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Lessons | 18


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A data scientist is someone who uses data to produce things that are useful, valuable, and useful. It works hard to fetch data and information from its various sources and then analyze it in order to understand the business and processes that have occurred.