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Udemy - Statistics for Data Science using Python

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leechers: 7
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Added 8 years ago by Fclab in Other
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Udemy - Statistics for Data Science using Python (Size: 1.3 GB)
  1. Basic Reveration Techniques.mp4 59.4 MB
  1. Calculating Mode.mp4 52.3 MB
  1. Hypothetical Testing Method.mp4 52 MB
  1. Introduction to Data Science.mp4 41.9 MB
  1. Ordinary Least Square Regression Techniques.mp4 40.6 MB
  1. Using Exclusive Events.mp4 54.3 MB
  2. Analyzing the Test Statistics.mp4 36.3 MB
  2. Calculating Dispersion Measures.mp4 42.8 MB
  2. Differences in Numphy Package.mp4 47.6 MB
  2. Finding the Measurement.mp4 57.6 MB
  2. Using Numphy Techniques.mp4 56 MB
  3. Calculating the Denominator.mp4 55.4 MB
  3. Histogram Calculation.mp4 62.2 MB
  3. Implementing Test Scenarios.mp4 53.2 MB
  3. Output of the Variables.mp4 57.7 MB
  3. Summation of Elements.mp4 73.6 MB
  4. Correlation Function.mp4 54.9 MB
  4. Multiple Explanatory Variables.mp4 66.7 MB
  5. Basic Concept of Statistics.mp4 30.1 MB
  5. Fitting the Model.mp4 77.5 MB
  6. Fitting the Model Continues.mp4 62.5 MB
  6. Pandas Data Frame.mp4 36.8 MB
  7. Curve Fitting and Regression Fit Line.mp4 73.3 MB
  8. Co efficient and Intercept Value.mp4 74.7 MB
  [FreeCourseLab.com].url 102.4 B
  ▲ 25 total files

Description


Udemy - Statistics for Data Science using Python
Many of us have heard it that statistics is one the next sexy jobs that is coming up in the career opportunities (this fact is vouched by even Hal Varian). Almost five years Tim O’Reilly said that data is the next big thing to happen in the world. But what exactly is data and why is it so important? And why is there so much importance being given to statistics and data in the world today?

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