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Udemy - Introduction to Statistics with Python

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Udemy - Introduction to Statistics with Python (Size: 2.4 GB)
  1. 2.1 Installing Python.html 614.4 B
  1. Instructions for loading CSV files.html 102.4 B
  1. Lesson 1.1 What is statistics.mp4 38.8 MB
  1. Lesson 1.1 What is statistics.srt 12.5 KB
  1. Lesson 10.1 T-test for Two Means.mp4 67 MB
  1. Lesson 10.1 T-test for Two Means.srt 16.8 KB
  1. Lesson 11.1 ANOVA.mp4 76.6 MB
  1. Lesson 11.1 ANOVA.srt 18.9 KB
  1. Lesson 12.1 Scatter Plots & Correlation.mp4 24.5 MB
  1. Lesson 12.1 Scatter Plots & Correlation.srt 9.7 KB
  1. Lesson 13.1 Chi Square Goodness of Fit.mp4 40.9 MB
  1. Lesson 13.1 Chi Square Goodness of Fit.srt 11.3 KB
  1. Lesson 6.1-Probability.mp4 50.8 MB
  1. Lesson 6.1-Probability.srt 17.1 KB
  1. Lesson 7.1 Normal Distribution.mp4 50.4 MB
  1. Lesson 7.1 Normal Distribution.srt 18.2 KB
  1. Lesson 8.1 Confidence Intervals Defined.mp4 69.3 MB
  1. Lesson 8.1 Confidence Intervals Defined.srt 23 KB
  1. Lesson 9.1 Hypotheses.mp4 47.2 MB
  1. Lesson 9.1 Hypotheses.srt 17.4 KB
  1.1 11-1.ipynb 7.1 KB
  1.1 iris.csv 3.8 KB
  1.2 Read_csv.pdf 18.9 KB
  2. Lesson 1.2 Types of Variables.mp4 26.3 MB
  2. Lesson 1.2 Types of Variables.srt 11.8 KB
  2. Lesson 10.2 T-test for Two Means in Python.mp4 74.5 MB
  2. Lesson 10.2 T-test for Two Means in Python.srt 17.2 KB
  2. Lesson 11.2 Other Forms of ANOVA OPTIONAL.mp4 23.6 MB
  2. Lesson 11.2 Other Forms of ANOVA OPTIONAL.srt 6.9 KB
  2. Lesson 12.2 Find Correlation in Python.mp4 76.9 MB
  2. Lesson 12.2 Find Correlation in Python.srt 15.8 KB
  2. Lesson 13.2 Chi-Square Goodness of Fit in Python.mp4 59.1 MB
  2. Lesson 13.2 Chi-Square Goodness of Fit in Python.srt 13.3 KB
  2. Lesson 2.2 Python Basics.mp4 37.1 MB
  2. Lesson 2.2 Python Basics.srt 11.6 KB
  2. Lesson 3.1 Frequency Tables with Categorical Variables.mp4 28 MB
  2. Lesson 3.1 Frequency Tables with Categorical Variables.srt 8.3 KB
  2. Lesson 4.1 Mean, Median, Mode.mp4 40.7 MB
  2. Lesson 4.1 Mean, Median, Mode.srt 14.5 KB
  2. Lesson 5.1 Range and Finding Range in Python.mp4 33.7 MB
  2. Lesson 5.1 Range and Finding Range in Python.srt 9 KB
  2. Lesson 6-2 Bayesian Probability OPTIONAL.mp4 25.5 MB
  2. Lesson 6-2 Bayesian Probability OPTIONAL.srt 6.4 KB
  2. Lesson 7.2 Standard Normal Distribution.mp4 56.5 MB
  2. Lesson 7.2 Standard Normal Distribution.srt 18.9 KB
  2. Lesson 8.2 Finding Confidence Intervals in Python.mp4 46.7 MB
  2. Lesson 8.2 Finding Confidence Intervals in Python.srt 11.8 KB
  2. Lesson 9.2 One Sample t-test.mp4 57.5 MB
  2. Lesson 9.2 One Sample t-test.srt 18.6 KB
  2.1 10-2.ipynb 18 KB
  2.1 12-2.ipynb 31.3 KB
  2.1 13-2.ipynb 189.6 KB
  2.1 2-2.ipynb 2.9 KB
  2.1 5-1.ipynb 2.4 KB
  2.1 8-2.ipynb 4.3 KB
  3. Lesson 1.3 More on Variables.mp4 31.1 MB
  3. Lesson 1.3 More on Variables.srt 11.9 KB
  3. Lesson 10.3 Paired T-Test.mp4 35.9 MB
  3. Lesson 10.3 Paired T-Test.srt 10.8 KB
  3. Lesson 11.3 ANOVA Under the Hood OPTIONAL.mp4 23.7 MB
  3. Lesson 11.3 ANOVA Under the Hood OPTIONAL.srt 9.8 KB
  3. Lesson 12.3 Simple Linear Regression.mp4 29.7 MB
  3. Lesson 12.3 Simple Linear Regression.srt 14.5 KB
  3. Lesson 13.3 Chi-Square Test of Independence in Python.mp4 47.3 MB
  3. Lesson 13.3 Chi-Square Test of Independence in Python.srt 11.8 KB
  3. Lesson 2.3 Functions.mp4 42.4 MB
  3. Lesson 2.3 Functions.srt 13 KB
  3. Lesson 3.2 Frequency Tables with Categorical Variables in Python.mp4 46.4 MB
  3. Lesson 3.2 Frequency Tables with Categorical Variables in Python.srt 11.5 KB
  3. Lesson 4.2 Mean, Median, Mode in Python.mp4 25 MB
  3. Lesson 4.2 Mean, Median, Mode in Python.srt 8.1 KB
  3. Lesson 5.2 Variance & Standard Deviation.mp4 50.3 MB
  3. Lesson 5.2 Variance & Standard Deviation.srt 20.2 KB
  3. Lesson 6-3 Review OPTIONAL.mp4 21.4 MB
  3. Lesson 6-3 Review OPTIONAL.srt 9.3 KB
  3. Lesson 7.3 Normal, Standard, & Sampling Distributions OPTIONAL.mp4 21.1 MB
  3. Lesson 7.3 Normal, Standard, & Sampling Distributions OPTIONAL.srt 8.7 KB
  3. Lesson 8.3 Confidence Intervals for Proportions.mp4 29.7 MB
  3. Lesson 8.3 Confidence Intervals for Proportions.srt 11.6 KB
  3. Lesson 9.3 One Sample t-test in Python.mp4 54.4 MB
  3. Lesson 9.3 One Sample t-test in Python.srt 12.1 KB
  3.1 13-3.ipynb 11.4 KB
  3.1 3.2.ipynb 332.5 KB
  3.1 4.2.ipynb 2.3 KB
  3.1 9.3.ipynb 3 KB
  4. Conclusion.mp4 29.7 MB
  4. Conclusion.srt 5.5 KB
  4. Lesson 1.4 Statistical Notation.mp4 42.6 MB
  4. Lesson 1.4 Statistical Notation.srt 9.7 KB
  4. Lesson 10.4 Paired T-Test in Python.mp4 47.7 MB
  4. Lesson 10.4 Paired T-Test in Python.srt 13.9 KB
  4. Lesson 12.4 Calculate Simple Linear Regression in Python.mp4 72.5 MB
  4. Lesson 12.4 Calculate Simple Linear Regression in Python.srt 17.1 KB
  4. Lesson 2.4 Loading Data.mp4 70.6 MB
  4. Lesson 2.4 Loading Data.srt 16.5 KB
  4. Lesson 3.3 Frequency Tables with Continuous Variables.mp4 61.9 MB
  4. Lesson 3.3 Frequency Tables with Continuous Variables.srt 18.3 KB
  4. Lesson 4.3 Mean vs Median vs Mode OPTIONAL.mp4 22.7 MB
  4. Lesson 4.3 Mean vs Median vs Mode OPTIONAL.srt 9 KB
  4. Lesson 5.3 Find Variance & Standard Deviation in Python.mp4 44.2 MB
  4. Lesson 5.3 Find Variance & Standard Deviation in Python.srt 11.8 KB
  4. Lesson 8.4 Finding Confidence Intervals for Proportions in Python.mp4 36.5 MB
  4. Lesson 8.4 Finding Confidence Intervals for Proportions in Python.srt 9.9 KB
  4. Lesson 9.4 t-test for Proportion.mp4 37.5 MB
  4. Lesson 9.4 t-test for Proportion.srt 10.8 KB
  4. Section 11 Quiz.html 204.8 B
  4. Section 7 Quiz.html 204.8 B
  4.1 10-4.ipynb 7.6 KB
  4.1 12-4.ipynb 8 KB
  4.1 2-4.ipynb 65 KB
  4.1 8.4.ipynb 2.1 KB
  5. Lesson 10.5 Two-Sample Test of Proportions.mp4 20.2 MB
  5. Lesson 10.5 Two-Sample Test of Proportions.srt 7.4 KB
  5. Lesson 12.5 Multiple Regression.mp4 30.6 MB
  5. Lesson 12.5 Multiple Regression.srt 12.5 KB
  5. Lesson 3.4 Scatter Plot & Histogram.mp4 77.2 MB
  5. Lesson 3.4 Scatter Plot & Histogram.srt 21.1 KB
  5. Lesson 5.4 Quartiles.mp4 29.8 MB
  5. Lesson 5.4 Quartiles.srt 11.4 KB
  5. Lesson 9.5 t-test for Proportion in Python.mp4 46.1 MB
  5. Lesson 9.5 t-test for Proportion in Python.srt 10.7 KB
  5. Section 1 Quiz.html 204.8 B
  5. Section 13 Quiz.html 204.8 B
  5. Section 2 Quiz.html 204.8 B
  5. Section 4 Quiz.html 204.8 B
  5. Section 8 Quiz.html 204.8 B
  5.1 3.4.ipynb 67.6 KB
  5.1 9.5.ipynb 3.2 KB
  6. Lesson 10.6 Two-Sample Test of Proportions in Python.mp4 52.4 MB
  6. Lesson 10.6 Two-Sample Test of Proportions in Python.srt 12.4 KB
  6. Lesson 12.6 Calculate Multiple Regression in Python.mp4 79.7 MB
  6. Lesson 12.6 Calculate Multiple Regression in Python.srt 17.8 KB
  6. Lesson 5.5 Find Quartiles and make Box plots in Python.mp4 56.9 MB
  6. Lesson 5.5 Find Quartiles and make Box plots in Python.srt 16.6 KB
  6. Section 3 Quiz.html 204.8 B
  6. Section 9 Quiz.html 204.8 B
  6.1 10-6.ipynb 2.8 KB
  6.1 12-6.ipynb 58.7 KB
  6.1 5-5.ipynb 12.6 KB
  7. Lesson 5.6 Kurtosis & Skew.mp4 29.7 MB
  7. Lesson 5.6 Kurtosis & Skew.srt 9.4 KB
  7. Section 10 Quiz.html 204.8 B
  7. Section 12 Quiz.html 204.8 B
  8. Lesson 5.7 Find Kurtosis and Skew in Python.mp4 40.1 MB
  8. Lesson 5.7 Find Kurtosis and Skew in Python.srt 10.2 KB
  8.1 5-7.ipynb 8.9 KB
  9. Section 5 Quiz.html 204.8 B
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 155 total files

Description


Introduction to Statistics with Python
https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 59 lectures (7h 43m) | Size: 2.22 GB

Where Statistics and Programming Meet

What you'll learn
Basic statistical analysis
How to utilize the Jupyter Notebook
Basic of the Python language for statistical analysis
Data visualization

Requirements
No prior coding experience required
No prior statistical experience required

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