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Data Science Statistics basics

Track :

Computer Science

Lessons no : 13

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Apply probability concepts to real-world data analysis and decision-making in data science projects
  • Perform statistical inference to draw meaningful conclusions from data sets and experiments
  • Implement regression techniques to model relationships and predict outcomes in data-driven scenarios
  • Utilize descriptive statistics to summarize and visualize data for effective communication
  • Conduct hypothesis testing to validate assumptions and support data-driven decisions
  • Interpret statistical results to derive actionable insights in data science applications
  • Use statistical software tools to analyze data and automate data analysis workflows
  • Evaluate data quality and identify potential biases affecting statistical analysis and modeling

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  • The Certificate is free !
Lessons | 13


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pallavi kushwaha

nyc 2024-05-01

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Data Science Statistics basics course, in this course we will learn about the Data Science Statistics, exploring the vital role statistics plays in the data science field. Covering key topics such as probability, inference, regression, and more, students will delve into techniques essential for analyzing and interpreting data effectively. Through hands-on exercises and practical applications, participants will acquire the skills needed to derive valuable insights, build predictive models, and make informed decisions in data-driven environments.