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Torrent Contents Size: 1.5 GB

Udemy - Applied Statistics and Probability for Data Science - Python

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1 - Foundations of Statistics

1. Introduction.mp4

MP4

65 MB

1. Introduction_Resource_1 1 Introduction to Statistics Understanding Data and Datasets xlsx.xlsx

XLSX

13.2 KB

10 - Bayes' Theorem and Predictive Analytics

11 - Inferential Statistics and Hypothesis Testing

2 - Python Basics for Analytics

3 - Descriptive Statistics Measures of Central Tendency

10. Statistical Calculations in Excel and Python.mp4

MP4

25.6 MB

11. Real World Use Cases Central Tendency.mp4

MP4

19.3 MB

4 - Descriptive Statistics Understanding Data Dispersion

12. Dispersion Metrics Range Variance and Standard Deviation.mp4

MP4

19.8 MB

12. Dispersion Metrics Range Variance and Standard Deviation_Resource_4 1 Data Dispersion Python ipynb.bin

BIN

2.7 KB

13. Example Call Duration Data for Dispersion Analysis.mp4

MP4

41.1 MB

13. Example Call Duration Data for Dispersion Analysis_Resource_4 2 Understanding Data Dispersion xlsx.xlsx

XLSX

12.6 KB

14. Excel and Python for Dispersion Calculations.mp4

MP4

30.9 MB

15. Applications of Dispersion Metrics.mp4

MP4

26.3 MB

5 - Descriptive Statistics Visualizing Data

16. Data Visualization Techniques.mp4

MP4

22 MB

16. Data Visualization Techniques_Resource_5 1 Visualizing Telecom Data Excel xlsx.xlsx

XLSX

25.5 KB

17. Practical Visualizing Call Duration Datasets.mp4

MP4

29.5 MB

17. Practical Visualizing Call Duration Datasets_Resource_5 2 Visualizing Telecom Data Python ipynb.bin

BIN

52.9 KB

18. Creating Visuals in Excel.mp4

MP4

19.3 MB

19. Creating Visuals in Python.mp4

MP4

20.8 MB

6 - Introduction to Probability

20. Probability Concepts.mp4

MP4

29.4 MB

21. Permutations and Combinations Simplified.mp4

MP4

30.7 MB

22. Telecom Case Study Spectrum Band combinations.mp4

MP4

27.9 MB

23. Probability Distribution& its types.mp4

MP4

35.4 MB

7 - Normal Distribution

24. Normal Distribution & its properties.mp4

MP4

48 MB

25. Case Study Analyzing Daily Call Durations.mp4

MP4

26.8 MB

25. Case Study Analyzing Daily Call Durations_Resource_7 2 Analyzing Daily Call Durations ipynb.bin

BIN

28.5 KB

26. Z Scores Predicting User Call Behavior.mp4

MP4

21.6 MB

8 - Binomial Distribution in Action

27. Binomial Distribution & its properties.mp4

MP4

32.8 MB

27. Binomial Distribution & its properties_Resource_8 1 Binomial Distribution Excel xlsx.xlsx

XLSX

28.5 KB

28. Predicting Call Quality Using Binomial Models.mp4

MP4

18.4 MB

28. Predicting Call Quality Using Binomial Models_Resource_8 2 Binomial Distribution Python ipynb.bin

BIN

17 KB

29. Excel and Python Implementation.mp4

MP4

99.9 MB

30. Applications of Binomial Distribution.mp4

MP4

21 MB

9 - Poisson Distribution

31. Poisson Distribution & its properties.mp4	MP4	32.7 MB
31. Poisson Distribution & its properties_Resource_9 1 Poisson Distribution Excel xlsx.xlsx	XLSX	15.9 KB
32. Modelling Dropped calls with Poisson Distribution.mp4	MP4	13.1 MB
32. Modelling Dropped calls with Poisson Distribution_Resource_9 2 Poisson Distribution Python ipynb.bin	BIN	26.1 KB
33. Practical Poisson Calculations in Excel and Python.mp4	MP4	52.9 MB
34. Use Cases Poisson Distribution.mp4	MP4	24 MB

8. Understanding Central Tendency.mp4

MP4

39.1 MB

8. Understanding Central Tendency_Resource_3 1 Measures of Central Tendency Python ipynb.bin

BIN

2 KB

9. Example Analyzing Call Duration Data.mp4

MP4

26 MB

9. Example Analyzing Call Duration Data_Resource_3 2 Measures of Central Tendency xlsx.xlsx

XLSX

12.2 KB

4. Python Basics for Data Analysis (Handson).mp4

MP4

54.1 MB

4. Python Basics for Data Analysis (Handson)_Resource_2 1 Python Basics for Data Analysis Handson ipynb.bin

BIN

2.7 KB

5. Loop function in Python.mp4

MP4

32.8 MB

5. Loop function in Python_Resource_2 2 Loop function in Python ipynb.bin

BIN

1.2 KB

6. Using Conditional Statements.mp4

MP4

36.9 MB

6. Using Conditional Statements_Resource_2 3 Using Conditional Statements to Detect Network Congestion ipynb.bin

BIN

1.1 KB

7. Data Visualization.mp4

MP4

50.5 MB

7. Data Visualization_Resource_2 4 Data Visualization Analyzing Network Performance ipynb.bin

BIN

34.4 KB

39. Inferential Statistics Overview.mp4

MP4

35.4 MB

40. Forecasting Data Usage with Inferential Methods.mp4

MP4

17.7 MB

41. Introduction to Hypothesis Testing.mp4

MP4

84 MB

42. Understanding t Tests and Their Variants.mp4

MP4

42.2 MB

43. Step by Step Performing a Two Sample t Test.mp4

MP4

15.4 MB

44. Use Case Predicting 5G Data Speeds Using t Tests.mp4

MP4

47.2 MB

35. Bayes' Theorem Overview.mp4

MP4

17.3 MB

36. Predicting Customer Churn.mp4

MP4

50.8 MB

36. Predicting Customer Churn_Resource_10 2 Predicting Customer Churn xlsx.xlsx

XLSX

36.9 KB

37. Implementing Bayes’ Theorem in Python.mp4

MP4

23.4 MB

38. Use cases Bayes Theorem.mp4

MP4

20.7 MB

2. Exploring Variables Using Examples.mp4

MP4

45.7 MB

2. Exploring Variables Using Examples_Resource_1 2 Exploring Variables Using Telecom Industry Examples xlsx.xlsx

XLSX

14 KB

3. Quantitative Variables Concepts and Applications.mp4

MP4

49.7 MB

3. Quantitative Variables Concepts and Applications_Resource_1 3 Quantitative Variables Concepts and Applications xlsx.xlsx

XLSX

16.3 KB

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Udemy - Applied Statistics and Probability for Data Science - Python

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