WebToolTip com Udemy Applied Statistics and Probability for Data Science Python

WebToolTip com Udemy Applied Statistics and Probability for Data Science Python

Name	[ WebToolTip.com ] Udemy - Applied Statistics and Probability for Data Science - Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.6 GB
Total Files	65
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Hash	327B3AFDAE816FC571D86F861BF4B5258CF93F35

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Get Bonus Downloads Here.url	0.2 KB
/.../1 - Foundations of Statistics/
1. Introduction.mp4	68.2 MB
1. Introduction_Resource_1 1 Introduction to Statistics Understanding Data and Datasets xlsx.xlsx	13.6 KB
2. Exploring Variables Using Examples.mp4	48.0 MB
2. Exploring Variables Using Examples_Resource_1 2 Exploring Variables Using Telecom Industry Examples xlsx.xlsx	14.3 KB
3. Quantitative Variables Concepts and Applications.mp4	52.1 MB
3. Quantitative Variables Concepts and Applications_Resource_1 3 Quantitative Variables Concepts and Applications xlsx.xlsx	16.7 KB
/.../10 - Bayes' Theorem and Predictive Analytics/
35. Bayes' Theorem Overview.mp4	18.1 MB
36. Predicting Customer Churn.mp4	53.2 MB
36. Predicting Customer Churn_Resource_10 2 Predicting Customer Churn xlsx.xlsx	37.8 KB
37. Implementing Bayes’ Theorem in Python.mp4	24.6 MB
38. Use cases Bayes Theorem.mp4	21.7 MB
/.../11 - Inferential Statistics and Hypothesis Testing/
39. Inferential Statistics Overview.mp4	37.1 MB
40. Forecasting Data Usage with Inferential Methods.mp4	18.5 MB
41. Introduction to Hypothesis Testing.mp4	88.1 MB
42. Understanding t Tests and Their Variants.mp4	44.3 MB
43. Step by Step Performing a Two Sample t Test.mp4	16.1 MB
44. Use Case Predicting 5G Data Speeds Using t Tests.mp4	49.5 MB
/.../2 - Python Basics for Analytics/
4. Python Basics for Data Analysis (Handson).mp4	56.8 MB
4. Python Basics for Data Analysis (Handson)_Resource_2 1 Python Basics for Data Analysis Handson ipynb.bin	2.8 KB
5. Loop function in Python.mp4	34.3 MB
5. Loop function in Python_Resource_2 2 Loop function in Python ipynb.bin	1.2 KB
6. Using Conditional Statements.mp4	38.7 MB
6. Using Conditional Statements_Resource_2 3 Using Conditional Statements to Detect Network Congestion ipynb.bin	1.1 KB
7. Data Visualization.mp4	52.9 MB
7. Data Visualization_Resource_2 4 Data Visualization Analyzing Network Performance ipynb.bin	35.3 KB
/.../3 - Descriptive Statistics Measures of Central Tendency/
10. Statistical Calculations in Excel and Python.mp4	26.8 MB
11. Real World Use Cases Central Tendency.mp4	20.2 MB
8. Understanding Central Tendency.mp4	41.0 MB
8. Understanding Central Tendency_Resource_3 1 Measures of Central Tendency Python ipynb.bin	2.1 KB
9. Example Analyzing Call Duration Data.mp4	27.3 MB
9. Example Analyzing Call Duration Data_Resource_3 2 Measures of Central Tendency xlsx.xlsx	12.5 KB
/.../4 - Descriptive Statistics Understanding Data Dispersion/
12. Dispersion Metrics Range Variance and Standard Deviation.mp4	20.8 MB
12. Dispersion Metrics Range Variance and Standard Deviation_Resource_4 1 Data Dispersion Python ipynb.bin	2.7 KB
13. Example Call Duration Data for Dispersion Analysis.mp4	43.1 MB
13. Example Call Duration Data for Dispersion Analysis_Resource_4 2 Understanding Data Dispersion xlsx.xlsx	12.9 KB
14. Excel and Python for Dispersion Calculations.mp4	32.4 MB
15. Applications of Dispersion Metrics.mp4	27.5 MB
/.../5 - Descriptive Statistics Visualizing Data/
16. Data Visualization Techniques.mp4	23.0 MB
16. Data Visualization Techniques_Resource_5 1 Visualizing Telecom Data Excel xlsx.xlsx	26.2 KB
17. Practical Visualizing Call Duration Datasets.mp4	30.9 MB
17. Practical Visualizing Call Duration Datasets_Resource_5 2 Visualizing Telecom Data Python ipynb.bin	54.2 KB
18. Creating Visuals in Excel.mp4	20.3 MB
19. Creating Visuals in Python.mp4	21.8 MB
/.../6 - Introduction to Probability/
20. Probability Concepts.mp4	30.8 MB
21. Permutations and Combinations Simplified.mp4	32.2 MB
22. Telecom Case Study Spectrum Band combinations.mp4	29.3 MB
23. Probability Distribution& its types.mp4	37.1 MB
/7 - Normal Distribution/
24. Normal Distribution & its properties.mp4	50.3 MB
25. Case Study Analyzing Daily Call Durations.mp4	28.1 MB
25. Case Study Analyzing Daily Call Durations_Resource_7 2 Analyzing Daily Call Durations ipynb.bin	29.2 KB
26. Z Scores Predicting User Call Behavior.mp4	22.7 MB
/.../8 - Binomial Distribution in Action/
27. Binomial Distribution & its properties.mp4	34.4 MB
27. Binomial Distribution & its properties_Resource_8 1 Binomial Distribution Excel xlsx.xlsx	29.2 KB
28. Predicting Call Quality Using Binomial Models.mp4	19.3 MB
28. Predicting Call Quality Using Binomial Models_Resource_8 2 Binomial Distribution Python ipynb.bin	17.4 KB
29. Excel and Python Implementation.mp4	104.8 MB
30. Applications of Binomial Distribution.mp4	22.1 MB
/9 - Poisson Distribution/
31. Poisson Distribution & its properties.mp4	34.3 MB
31. Poisson Distribution & its properties_Resource_9 1 Poisson Distribution Excel xlsx.xlsx	16.3 KB
32. Modelling Dropped calls with Poisson Distribution.mp4	13.7 MB
32. Modelling Dropped calls with Poisson Distribution_Resource_9 2 Poisson Distribution Python ipynb.bin	26.8 KB
33. Practical Poisson Calculations in Excel and Python.mp4	55.5 MB
34. Use Cases Poisson Distribution.mp4	25.1 MB
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Bonus Resources.txt	0.1 KB
Total files 65