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Udemy - Full Data Science Course - From Zero to Hero

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Udemy - Full Data Science Course - From Zero to Hero (Size: 341 MB)
  1. 1-WAY ANOVA Exercises.mp4 29.5 MB
  1. Course Summary.mp4 779.8 KB
  1. How to build a confidence interval.mp4 13.6 MB
  1. Introduction.mp4 29.5 MB
  1. Population vs Sample.mp4 4.7 MB
  1. Summary of Section I.mp4 692 KB
  1. What is a distribution.mp4 18.7 MB
  1. What is an Hypothesis test, procedures and errors.mp4 20.5 MB
  1. find k, E(X) and Var(X).mp4 22.1 MB
  10. When to use N vs T-Student Distribution.mp4 6.6 MB
  11. Continuous Chi-Squared.mp4 16.3 MB
  12. F-Distribution and ANOVA.mp4 1.1 MB
  13. Probability Functions Revisited Tables, PMF, PDF and CDF.mp4 7.6 MB
  2. 2-WAY ANOVA Exercises.mp4 18.7 MB
  2. Discrete Binomial and Bernoulli.mp4 8.3 MB
  2. Estimators and Main Techniques.mp4 21.9 MB
  2. Inferential Approaches Estimation.mp4 3.1 MB
  2. What is the purpose of Statistics.mp4 20.7 MB
  3. Discrete Negative Binomial and Geometric.mp4 3.8 MB
  3. Estimators OLS.mp4 4.4 MB
  3. Inferential Approaches Hypothesis Testing.mp4 4.8 MB
  4. Discrete Poisson.mp4 1.4 MB
  4. Estimators MLE.mp4 1.3 MB
  4. Population Parameters and Sample Statistics.mp4 28.4 MB
  5. Continuous Exponential.mp4 4.3 MB
  5. Data Types(Qualitative and Quantitative), Samples.mp4 13.7 MB
  5. Estimators MME.mp4 12.6 MB
  6. Continuous Uniform.mp4 5.7 MB
  6. Trials, Experiments, Events, Independence and Likelihood.mp4 3.8 MB
  7. Continuous Normal and Central Limit Theorem.mp4 8.1 MB
  8. Standardization Z-Score.mp4 2.5 MB
  9. T-Student Distribution.mp4 2 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 34 total files

Description


Full Data Science Course: From Zero to Hero
https://DevCourseWeb.com

Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 lectures (1h 14m) | Size: 341 MB

Learn and build projects with Inferential Statistics

What you'll learn
Learn the Main Concepts of Inferential Statistics
Calculate Parameters using Advanced Statistics Techniques
Reach conclusions using Hypothesis Testing
Calculate Confidence Intervals
Calculate ANOVAS: 1-Way and 2-Way
Calculate Estimators using MME, MLE, OLS

Description
In this course, you will take the first step in your Data Science journey by learning Inferential Statistics.

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