Download Udemy - Statistics for Data Analysis Using Python Torrent

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Udemy - Statistics for Data Analysis Using Python

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TutsNode.com.txt

TXT

63 B

[TGx]Downloaded from torrentgalaxy.to .txt

TXT

585 B

[TutsNode.com] - Statistics for Data Analysis Using Python

1. Introduction

1. Installing Anaconda.mp4	MP4	59.61 MB
1. Installing Anaconda.srt	SRT	9.18 KB
10. Solution Select an element from the list.html	HTML	61 B
11. Working with a List - Part 2.mp4	MP4	34.78 MB
11. Working with a List - Part 2.srt	SRT	8.16 KB
12. A review of lists.html	HTML	133 B
13. Solution A review of lists.html	HTML	72 B
14. Working with a Dictionary.mp4	MP4	42.92 MB
14. Working with a Dictionary.srt	SRT	9.18 KB
15. Working with a Tuple.mp4	MP4	25.55 MB
15. Working with a Tuple.srt	SRT	4.49 KB
16. Working with a Set.mp4	MP4	15.89 MB
16. Working with a Set.srt	SRT	3.91 KB
17. Logical Operators.mp4	MP4	28.14 MB
17. Logical Operators.srt	SRT	5.13 KB
2. Getting started with Jupyter Notebook.mp4	MP4	51.84 MB
2. Getting started with Jupyter Notebook.srt	SRT	11.82 KB
3. Download Section 1 Resources and the Course Slides.html	HTML	168 B
3.1 Section 1.ipynb	IPYNB	36 KB
3.2 Python Statistics Slides.pdf	PDF	2.85 MB
4. Getting started with Python.mp4	MP4	69.41 MB
4. Getting started with Python.srt	SRT	17.86 KB
5. Variables and Data Types.mp4	MP4	38.37 MB
5. Variables and Data Types.srt	SRT	8.03 KB
6. Introduction to coding exercises.html	HTML	133 B
7. Solution Introduction to coding exercises.html	HTML	96 B
8. Working with a List - Part 1.mp4	MP4	83.42 MB
8. Working with a List - Part 1.srt	SRT	21.09 KB
9. Select an element from the list.html	HTML	133 B

2. Descriptive Statistics

1. Download Section 2 Resources.html	HTML	71 B
1.1 Section 2.ipynb	IPYNB	11.7 KB
10. Solution Find the Inter Quartile Range.html	HTML	130 B
2. [Theory] Measurement of Central Tendency.mp4	MP4	80 MB
2. [Theory] Measurement of Central Tendency.srt	SRT	10.75 KB
3. [Theory] Measurement of Dispersion - Part 1.mp4	MP4	62.52 MB
3. [Theory] Measurement of Dispersion - Part 1.srt	SRT	8.79 KB
4. [Theory] Measurement of Dispersion - Part 2.mp4	MP4	48.94 MB
4. [Theory] Measurement of Dispersion - Part 2.srt	SRT	7.73 KB
5. Quiz Descriptive Statistics.html	HTML	133 B
6. Descriptive Statistics Using Python.mp4	MP4	85.19 MB
6. Descriptive Statistics Using Python.srt	SRT	17.81 KB
7. Find the mean, mode, median and standard deviation.html	HTML	133 B
8. Solution Find the mean, mode, median and standard deviation.html	HTML	179 B
9. Find the Inter Quartile Range.html	HTML	133 B

3. NumPy Package, Probability Distributions and an Introduction to SciPy Package

1. Download Section 3 Resources.html	HTML	71 B
1.1 Section 3.ipynb	IPYNB	198.87 KB
10. Select a subsection of an Array.html	HTML	133 B
11. Solution Select a subsection of an Array.html	HTML	65 B
12. NumPy - Part 3.mp4	MP4	73.15 MB
12. NumPy - Part 3.srt	SRT	12.85 KB
13. Divide the Array elements by 10.html	HTML	133 B
14. Solution Divide the array elements by 10.html	HTML	63 B
15. [Theory] Basics of Probability - Part 1.mp4	MP4	51.52 MB
15. [Theory] Basics of Probability - Part 1.srt	SRT	10.3 KB
16. [Theory] Basics of Probability - Part 2.mp4	MP4	88.9 MB
16. [Theory] Basics of Probability - Part 2.srt	SRT	14.95 KB
17. [Theory] Basics of Probability - Part 3.mp4	MP4	69.39 MB
17. [Theory] Basics of Probability - Part 3.srt	SRT	11.64 KB
18. Quiz Basics of Probability.html	HTML	133 B
19. Generating Random Numbers to Simulate the Probability.mp4	MP4	87.57 MB
19. Generating Random Numbers to Simulate the Probability.srt	SRT	18.9 KB
2. NumPy - Part 1.mp4	MP4	75 MB
2. NumPy - Part 1.srt	SRT	20.8 KB
2.1 Section 3.ipynb	IPYNB	198.52 KB
20. A Sample Probability Question.mp4	MP4	57.65 MB
20. A Sample Probability Question.srt	SRT	11.4 KB
21. Generate Five Random Numbers.html	HTML	133 B
22. Solution Generate Five Random Numbers.html	HTML	76 B
23. [Theory] Probability Distributions - Introduction.mp4	MP4	41.87 MB
23. [Theory] Probability Distributions - Introduction.srt	SRT	9.61 KB
24. [Theory] Binomial Distribution.mp4	MP4	127.19 MB
24. [Theory] Binomial Distribution.srt	SRT	18.73 KB
25. Quiz Binomial Distribution.html	HTML	133 B
26. Binomial Distribution Using NumPy.mp4	MP4	73.61 MB
26. Binomial Distribution Using NumPy.srt	SRT	16.93 KB
27. Introducing SciPy Package for Binomial Distributions.mp4	MP4	108.05 MB
27. Introducing SciPy Package for Binomial Distributions.srt	SRT	22.45 KB
28. Flipping a Coin.html	HTML	133 B
29. Solution Flipping a Coin.html	HTML	72 B
3. Two Dimensional Array.html	HTML	133 B
30. Let's Flip Again.html	HTML	133 B
31. Solution Let's Flip Again.html	HTML	104 B
32. Number of defectives in a selection.html	HTML	133 B
33. Solution Number of defectives in a selection.html	HTML	75 B
34. [Theory] Poisson Distribution.mp4	MP4	69.78 MB
34. [Theory] Poisson Distribution.srt	SRT	7.55 KB
35. [Theory] Poisson Distributions - An Example.mp4	MP4	60.45 MB
35. [Theory] Poisson Distributions - An Example.srt	SRT	7.21 KB
36. Poisson Distribution Using NumPy.mp4	MP4	46.47 MB
36. Poisson Distribution Using NumPy.srt	SRT	10.05 KB
37. Poisson Distribution Using SciPy.mp4	MP4	76.45 MB
37. Poisson Distribution Using SciPy.srt	SRT	15.56 KB
38. Receiving Phone Calls.html	HTML	133 B
39. Solution Receiving Phone Calls.html	HTML	64 B
4. Solution Two Dimensional Array.html	HTML	79 B
40. Probability of more than 6 calls.html	HTML	133 B
41. Solution Probability of more than 6 calls.html	HTML	67 B
42. [Theory] Normal Distribution - Part 1.mp4	MP4	90.29 MB
42. [Theory] Normal Distribution - Part 1.srt	SRT	14.27 KB
43. [Theory] Normal Distribution - Part 2.mp4	MP4	82.99 MB
43. [Theory] Normal Distribution - Part 2.srt	SRT	13.84 KB
44. Quiz Normal Distrubution.html	HTML	133 B
45. Normal Distribution Using NumPy.mp4	MP4	74.2 MB
45. Normal Distribution Using NumPy.srt	SRT	14.2 KB
46. Normal Distribution Using SciPy.mp4	MP4	102.24 MB
46. Normal Distribution Using SciPy.srt	SRT	15.61 KB
47. Area of curve between two values of z.html	HTML	133 B
48. Solution Area of curve between two values of z.html	HTML	326 B
49. Descriptive Statistics Using NumPy.mp4	MP4	62.66 MB
49. Descriptive Statistics Using NumPy.srt	SRT	13.38 KB
5. Creating a Numpy array.html	HTML	133 B
50. Mean of Rows.html	HTML	133 B
51. Solution Mean of Rows.html	HTML	601 B
6. Solution Creating a Numpy array.html	HTML	93 B
7. NumPy - Part 2.mp4	MP4	75.14 MB
7. NumPy - Part 2.srt	SRT	15.8 KB
8. Filtering from an Array.html	HTML	133 B
9. Solution Filtering from an Array.html	HTML	82 B

4. Pandas Package

1. Download Section 4 Resources.html	HTML	71 B
1.1 Piece_Dim.csv	CSV	1.6 KB
1.2 Section 4.ipynb	IPYNB	104.71 KB
10. DataFrame - Dealing with Rows.mp4	MP4	154.78 MB
10. DataFrame - Dealing with Rows.srt	SRT	34.78 KB
11. What is the Temperature on Monday.html	HTML	133 B
12. Solution What is the Temperature on Monday.html	HTML	449 B
2. Pandas Series.mp4	MP4	86.99 MB
2. Pandas Series.srt	SRT	14.31 KB
2.1 Section 4.ipynb	IPYNB	104.71 KB
3. Pandas DataFrame.mp4	MP4	52.9 MB
3. Pandas DataFrame.srt	SRT	9.91 KB
4. Create a DataFrame.html	HTML	133 B
5. Solution Create a DataFrame.html	HTML	447 B
6. Reading a .csv File (Importing External Data).mp4	MP4	79.3 MB
6. Reading a .csv File (Importing External Data).srt	SRT	16.66 KB
6.1 Piece_Dim.csv	CSV	1.6 KB
7. Importing a CSV file.html	HTML	133 B
8. Solution Importing a CSV file.html	HTML	98 B
9. DataFrame - Dealing with Columns.mp4	MP4	62.52 MB
9. DataFrame - Dealing with Columns.srt	SRT	13.76 KB

5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries

1. Download Section 5 Resources.html	HTML	71 B
1.1 Section 5.ipynb	IPYNB	870.36 KB
1.2 Piece_Dim.csv	CSV	1.6 KB
10. Visualizing the Titanic dataset.mp4	MP4	100.54 MB
10. Visualizing the Titanic dataset.srt	SRT	22.98 KB
2. Histogram using matplotlib.pyplot.mp4	MP4	59.2 MB
2. Histogram using matplotlib.pyplot.srt	SRT	12.88 KB
3. Box Plot using matplotlib.pyplot.mp4	MP4	74.61 MB
3. Box Plot using matplotlib.pyplot.srt	SRT	13.63 KB
4. Line and Scatter Plots using matplotlib.pyplot.mp4	MP4	54.07 MB
4. Line and Scatter Plots using matplotlib.pyplot.srt	SRT	11.49 KB
5. Bar Plot using matplotlib.pyplot.mp4	MP4	47 MB
5. Bar Plot using matplotlib.pyplot.srt	SRT	11.04 KB
6. Saving the plot as .png or .jpg.mp4	MP4	34.42 MB
6. Saving the plot as .png or .jpg.srt	SRT	5.45 KB
7. Seaborn - Displot group of plots.mp4	MP4	76.79 MB
7. Seaborn - Displot group of plots.srt	SRT	18.82 KB
8. Seaborn - Catplot group of plots.mp4	MP4	67.91 MB
8. Seaborn - Catplot group of plots.srt	SRT	15.26 KB
9. Seaborn - Relplot group of plots.mp4	MP4	81.23 MB
9. Seaborn - Relplot group of plots.srt	SRT	12.42 KB

6. Inferential Statistics and Hypothesis Testing - Introduction

1. Download Section 6 Resources.html	HTML	71 B
1.1 Section 6.ipynb	IPYNB	71.28 KB
10. [Theory] Types of Errors - Type I and Type II Errors.mp4	MP4	75.33 MB
10. [Theory] Types of Errors - Type I and Type II Errors.srt	SRT	15.28 KB
11. [Theory] Types of Errors - Summary.mp4	MP4	89.6 MB
11. [Theory] Types of Errors - Summary.srt	SRT	15.66 KB
12. [Theory] Hypothesis Testing - An Overview.mp4	MP4	84.68 MB
12. [Theory] Hypothesis Testing - An Overview.srt	SRT	15.41 KB
13. [Theory] Z Tables - Finding the Critical Values.mp4	MP4	100.09 MB
13. [Theory] Z Tables - Finding the Critical Values.srt	SRT	10.92 KB
14. [Theory] The p-Value.mp4	MP4	51.89 MB
14. [Theory] The p-Value.srt	SRT	5.34 KB
15. Quiz Hypothesis Testing Basics.html	HTML	133 B
16. Hypothesis Testing Using Python.mp4	MP4	102.52 MB
16. Hypothesis Testing Using Python.srt	SRT	14.84 KB
2. [Theory] Population vs Samples.mp4	MP4	60.31 MB
2. [Theory] Population vs Samples.srt	SRT	10.08 KB
2.1 Section 6.ipynb	IPYNB	71.28 KB
3. [Theory] Central Limit Theorem.mp4	MP4	68.29 MB
3. [Theory] Central Limit Theorem.srt	SRT	12.87 KB
4. Quiz Population vs Samples + Central Limit Theorem.html	HTML	133 B
5. Central Limit Theorem - Using Python.mp4	MP4	127.85 MB
5. Central Limit Theorem - Using Python.srt	SRT	22.82 KB
6. [Theory] Basics of Hypothesis Testing.mp4	MP4	16.34 MB
6. [Theory] Basics of Hypothesis Testing.srt	SRT	4.1 KB
7. [Theory] Statistical and Practical Significance.mp4	MP4	38.26 MB
7. [Theory] Statistical and Practical Significance.srt	SRT	7.99 KB
8. [Theory] Null and Alternate Hypothesis.mp4	MP4	21.61 MB
8. [Theory] Null and Alternate Hypothesis.srt	SRT	4.3 KB
9. [Theory] Hypothesis Testing - A Simple Introduction.mp4	MP4	96.4 MB
9. [Theory] Hypothesis Testing - A Simple Introduction.srt	SRT	15.75 KB

7. Hypothesis Testing Part 1 (One Sample Tests)

1. Download Section 7 Resources.html	HTML	71 B
1.1 Machine1.csv	CSV	803 B
1.2 Smokers.csv	CSV	1.39 KB
1.3 Section 7.ipynb	IPYNB	66.26 KB
10. One Proportion Test Using Python.mp4	MP4	81.59 MB
10. One Proportion Test Using Python.srt	SRT	14.82 KB
10.1 Smokers.csv	CSV	1.39 KB
11. [Theory] One Variance Test - Introduction.mp4	MP4	27.86 MB
11. [Theory] One Variance Test - Introduction.srt	SRT	4.93 KB
12. [Theory] One Variance Test - Example 1.mp4	MP4	53.29 MB
12. [Theory] One Variance Test - Example 1.srt	SRT	9.18 KB
13. [Theory] One Variance Test - Example 2.mp4	MP4	62.73 MB
13. [Theory] One Variance Test - Example 2.srt	SRT	7.2 KB
14. One Variance Test Using Python.mp4	MP4	69.46 MB
14. One Variance Test Using Python.srt	SRT	12.08 KB
15. Quiz Hypothesis Testing Part 1.html	HTML	133 B
2. [Theory] Tests for means, variances and proportions - Introduction.mp4	MP4	96.48 MB
2. [Theory] Tests for means, variances and proportions - Introduction.srt	SRT	11.08 KB
2.1 Section 7.ipynb	IPYNB	66.26 KB
3. [Theory] One Sample Z Test - Conditions.mp4	MP4	50.06 MB
3. [Theory] One Sample Z Test - Conditions.srt	SRT	9.62 KB
4. [Theory] One Sample Z Test.mp4	MP4	83.39 MB
4. [Theory] One Sample Z Test.srt	SRT	8.57 KB
5. One Sample Z Test - Examples.mp4	MP4	49.54 MB
5. One Sample Z Test - Examples.srt	SRT	6.64 KB
6. One Sample Z Test Using Python.mp4	MP4	90.56 MB
6. One Sample Z Test Using Python.srt	SRT	19.31 KB
6.1 Machine1.csv	CSV	803 B
7. One Sample t Test.mp4	MP4	82.33 MB
7. One Sample t Test.srt	SRT	11.75 KB
8. One Sample t Test Using Python.mp4	MP4	29.89 MB
8. One Sample t Test Using Python.srt	SRT	6.02 KB
9. [Theory] One Proportion Test.mp4	MP4	93.44 MB
9. [Theory] One Proportion Test.srt	SRT	15.7 KB

8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)

1. Download Section 8 Resources.html	HTML	71 B
1.1 Two Machines.csv	CSV	3.51 KB
1.2 Section 8.ipynb	IPYNB	124.04 KB
10. Two Sample t Test Using Python.mp4	MP4	48.29 MB
10. Two Sample t Test Using Python.srt	SRT	7.69 KB
11. [Theory] Paired t Test.mp4	MP4	89.01 MB
11. [Theory] Paired t Test.srt	SRT	13.67 KB
12. Paired t Test Using Python.mp4	MP4	34.29 MB
12. Paired t Test Using Python.srt	SRT	5.92 KB
13. [Theory] Two Proportions Test - Introduction.mp4	MP4	52.67 MB
13. [Theory] Two Proportions Test - Introduction.srt	SRT	7.57 KB
14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.mp4	MP4	46.59 MB
14. [Theory] Two Proportions Test - Pooled vs Unpooled Method.srt	SRT	5.22 KB
15. [Theory] Two Proportions Test - An Example of Pooled Method.mp4	MP4	59.7 MB
15. [Theory] Two Proportions Test - An Example of Pooled Method.srt	SRT	10.63 KB
16. Two Proportions Test Using Python.mp4	MP4	54.42 MB
16. Two Proportions Test Using Python.srt	SRT	9.41 KB
17. [Theory] Two Variances Test.mp4	MP4	95.03 MB
17. [Theory] Two Variances Test.srt	SRT	16.3 KB
18. Two Variances Test Using Python.mp4	MP4	69.02 MB
18. Two Variances Test Using Python.srt	SRT	15.11 KB
19. [Theory] ANOVA - Introduction.mp4	MP4	40.01 MB
19. [Theory] ANOVA - Introduction.srt	SRT	7.57 KB
2. [Theory] Two Sample z Test - Introduction.mp4	MP4	32.21 MB
2. [Theory] Two Sample z Test - Introduction.srt	SRT	7.14 KB
2.1 Section 8.ipynb	IPYNB	124.04 KB
20. [Theory] Why ANOVA.mp4	MP4	48.18 MB
20. [Theory] Why ANOVA.srt	SRT	7.29 KB
21. [Theory] ANOVA - Conceptual Understanding.mp4	MP4	39.11 MB
21. [Theory] ANOVA - Conceptual Understanding.srt	SRT	10.23 KB
22. [Theory] Statistics behind ANOVA.mp4	MP4	36.83 MB
22. [Theory] Statistics behind ANOVA.srt	SRT	9.18 KB
23. [Theory] Performing ANOVA by Manual Calculations.mp4	MP4	75.03 MB
23. [Theory] Performing ANOVA by Manual Calculations.srt	SRT	17.91 KB
24. Conducting ANOVA Using Python.mp4	MP4	54.84 MB
24. Conducting ANOVA Using Python.srt	SRT	8.77 KB
25. Conducting ANOVA Using Python - mpg Dataset.mp4	MP4	77.87 MB
25. Conducting ANOVA Using Python - mpg Dataset.srt	SRT	15.86 KB
26. [Theory] Goodness of Fit.mp4	MP4	70.76 MB
26. [Theory] Goodness of Fit.srt	SRT	15.06 KB
27. Goodness of Fit Test Using Python.mp4	MP4	67.43 MB
27. Goodness of Fit Test Using Python.srt	SRT	11.81 KB
28. [Theory] Contingency Tables.mp4	MP4	57.63 MB
28. [Theory] Contingency Tables.srt	SRT	13.73 KB
29. Quiz Hypothesis Testing Part 2.html	HTML	133 B
3. [Theory] Two Sample z Test - Example.mp4	MP4	40.46 MB
3. [Theory] Two Sample z Test - Example.srt	SRT	7.31 KB
30. Contingency Tables Using Python.mp4	MP4	95.91 MB
30. Contingency Tables Using Python.srt	SRT	18.5 KB
4. Two Sample z Test Using Python.mp4	MP4	66.82 MB
4. Two Sample z Test Using Python.srt	SRT	15.09 KB
5. Two Sample z Test Using Python - tips Dataset.mp4	MP4	55.76 MB
5. Two Sample z Test Using Python - tips Dataset.srt	SRT	10.58 KB
6. [Theory] Two Sample t Test - Conditions and Calculations.mp4	MP4	59.12 MB
6. [Theory] Two Sample t Test - Conditions and Calculations.srt	SRT	12.3 KB
7. [Theory] Two Sample t Test - Equal Variance.mp4	MP4	88.32 MB
7. [Theory] Two Sample t Test - Equal Variance.srt	SRT	11.28 KB
8. [Theory] Two Sample t Test - Unequal Variance.mp4	MP4	104.27 MB
8. [Theory] Two Sample t Test - Unequal Variance.srt	SRT	14.62 KB
9. [Theory] Two Sample t Test - Visual Interpretation.mp4	MP4	37.63 MB
9. [Theory] Two Sample t Test - Visual Interpretation.srt	SRT	6.85 KB

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Udemy - Statistics for Data Analysis Using Python

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udp://9.rarbg.me:2770/announce
udp://denis.stalker.upeer.me:6969/announce
udp://tracker.port443.xyz:6969/announce
udp://tracker.moeking.me:6969/announce
udp://exodus.desync.com:6969/announce
udp://9.rarbg.to:2740/announce
udp://9.rarbg.to:2720/announce
udp://tracker.justseed.it:1337/announce
udp://tracker.torrent.eu.org:451/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.open-internet.nl:6969/announce
udp://torrentclub.tech:6969/announce
udp://open.stealth.si:80/announce
http://tracker.tfile.co:80/announce