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Data Science Fundamentals

Track :

Computer Science

Lessons no : 32

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What will you learn in this course?
  • Master data analysis techniques using Python, R, and SQL for real-world data projects
  • Apply statistical methods and machine learning algorithms to extract insights from data sets
  • Utilize data visualization tools like Tableau and Power BI to communicate findings effectively
  • Implement data cleaning and preprocessing strategies to ensure high-quality data for analysis
  • Develop predictive models to forecast trends and support decision-making processes
  • Interpret data patterns and anomalies to identify business opportunities and risks
  • Design and execute data-driven solutions for diverse industry challenges
  • Evaluate model performance using metrics like accuracy, precision, and recall
  • Integrate data science tools and techniques into existing workflows for efficiency
  • Communicate complex data insights clearly to non-technical stakeholders

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Lessons | 32

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Data Science Fundamentals course, in this course Explore core concepts, tools, and techniques essential for mastering the foundations of data science.