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English
Last updated at

Wed, 19-Apr-2023
Level
Beginner
Total lessons

0
Total duration

00:00:00 Hours
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0
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0
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Short description
This course is designed to provide students with a foundational understanding of data science. Students will learn about the fundamentals of data analysis, statistical methods, and machine learning techniques. They will also gain experience using programming languages such as Python and R to analyze data and create visualizations. The course will cover various aspects of data science, including data collection and cleaning, exploratory data analysis, regression analysis, classification, and clustering.
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Requirements
  • There are no formal prerequisites for this course, but basic knowledge of programming concepts and statistics would be helpful.
Outcomes
  • Understand the principles and methodologies of data science.
  • Apply data analysis techniques using programming languages such as Python and R.
  • Create visualizations of data to communicate insights and findings.
  • Analyze and interpret data using statistical methods.
  • Build machine learning models to solve classification and regression problems.