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Statistics with Python for Data Science Beginners

  • A fundamental understanding of mathematics, including algebra, probability, and basic calculus, will greatly aid in comprehending statistical concepts.
  • A willingness to dive into complex statistical theories and algorithms with persistence, as statistical concepts might require multiple iterations for full comprehension.
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$54.99

What I will learn?

  • Gain a comprehensive understanding of statistical concepts, including measures of central tendency, dispersion, probability distributions, and hypothesis testing.
  • Learn Python programming specifically tailored for data analysis purposes, covering libraries like NumPy, Pandas, and Matplotlib to manipulate, analyze, and visualize data.

Course Curriculum

Statistics with Python: Video Lesson

  • Intuition Part 1
    02:06:33
  • Intuition Part 2
    01:38:18

Statistics with Python: Handout Notes

Hands-on Implementation

Assessment

Testimonials

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Material Includes

  • Video Lesson
  • Handout Notes
  • Python Codes
  • MCQs

Requirements

  • A fundamental understanding of mathematics, including algebra, probability, and basic calculus, will greatly aid in comprehending statistical concepts.
  • A willingness to dive into complex statistical theories and algorithms with persistence, as statistical concepts might require multiple iterations for full comprehension.

Who Should Take this course?

  • Beginners in Data Science

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