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Udemy Statistics and Hypothesis Testing for Data science (1 Viewer)

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 Udemy Statistics and Hypothesis Testing for Data science (1 Viewer)

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Statistics and Hypothesis Testing for Data science​

"Mastering Data Analysis and Making Informed Decisions with Statistical Hypothesis Testing in Data Science".
Welcome to "Statistics and Hypothesis Testing for Data Science" – a comprehensive Udemy course that will empower you with the essential statistical knowledge and data analysis skills needed for success in the world of data science.



Here's what you'll learn:

  • Delve into the world of data-driven insights and discover how statistics plays a pivotal role in shaping our understanding of information.
  • Equip yourself with the essential Python skills required for effective data manipulation and visualization.
  • Learn to categorize data, setting the stage for meaningful analysis.
  • Discover how to summarize data with measures like mean, median, and mode.
  • Explore the variability in data using concepts like range, variance, and standard deviation.
  • Understand relationships between variables with correlation and covariance.
  • Grasp the shape and distribution of data using techniques like quartiles and percentiles.
  • Learn to standardize data and calculate z-scores.
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