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Data Science Techniques For Beginners

Track :

Computer Science

Lessons no : 38

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What will you learn in this course?
  • Master data collection, cleaning, and preprocessing techniques for accurate data analysis and insights
  • Apply fundamental statistical methods to interpret data and identify meaningful patterns in real-world datasets
  • Utilize data visualization tools to communicate findings effectively and support data-driven decision making
  • Implement basic machine learning algorithms for predictive modeling and classification tasks
  • Analyze large datasets using scalable data science tools and frameworks for efficient processing
  • Develop skills in exploratory data analysis to uncover trends and anomalies in diverse data sources
  • Evaluate model performance using appropriate metrics to optimize predictive accuracy and reliability
  • Integrate data science techniques into business strategies to enhance operational efficiency and growth
  • Use programming languages like Python or R for data manipulation, analysis, and visualization tasks
  • Understand ethical considerations and data privacy principles in data science projects
  • Apply version control and collaborative tools to manage data science workflows effectively
  • Build a foundational understanding of data science project lifecycle from data collection to deployment

How to Get The Certificate

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  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
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  • The Certificate is free !
Lessons | 38


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Data Science Techniques course, In this course we'll explore essential data science methods, from data collection to advanced analysis and modeling.