| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Foundations of Statistics | |||
| 1. Introduction.mp4 | 65 MB | ||
| 1. Introduction_Resource_1 1 Introduction to Statistics Understanding Data and Datasets 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 | 25.6 MB | ||
| 11. Real World Use Cases Central Tendency.mp4 | 19.3 MB | ||
| 4 - Descriptive Statistics Understanding Data Dispersion | |||
| 12. Dispersion Metrics Range Variance and Standard Deviation.mp4 | 19.8 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 | 41.1 MB | ||
| 13. Example Call Duration Data for Dispersion Analysis_Resource_4 2 Understanding Data Dispersion xlsx.xlsx | 12.6 KB | ||
| 14. Excel and Python for Dispersion Calculations.mp4 | 30.9 MB | ||
| 15. Applications of Dispersion Metrics.mp4 | 26.3 MB | ||
| 5 - Descriptive Statistics Visualizing Data | |||
| 16. Data Visualization Techniques.mp4 | 22 MB | ||
| 16. Data Visualization Techniques_Resource_5 1 Visualizing Telecom Data Excel xlsx.xlsx | 25.5 KB | ||
| 17. Practical Visualizing Call Duration Datasets.mp4 | 29.5 MB | ||
| 17. Practical Visualizing Call Duration Datasets_Resource_5 2 Visualizing Telecom Data Python ipynb.bin | 52.9 KB | ||
| 18. Creating Visuals in Excel.mp4 | 19.3 MB | ||
| 19. Creating Visuals in Python.mp4 | 20.8 MB | ||
| 6 - Introduction to Probability | |||
| 20. Probability Concepts.mp4 | 29.4 MB | ||
| 21. Permutations and Combinations Simplified.mp4 | 30.7 MB | ||
| 22. Telecom Case Study Spectrum Band combinations.mp4 | 27.9 MB | ||
| 23. Probability Distribution& its types.mp4 | 35.4 MB | ||
| 7 - Normal Distribution | |||
| 24. Normal Distribution & its properties.mp4 | 48 MB | ||
| 25. Case Study Analyzing Daily Call Durations.mp4 | 26.8 MB | ||
| 25. Case Study Analyzing Daily Call Durations_Resource_7 2 Analyzing Daily Call Durations ipynb.bin | 28.5 KB | ||
| 26. Z Scores Predicting User Call Behavior.mp4 | 21.6 MB | ||
| 8 - Binomial Distribution in Action | |||
| 27. Binomial Distribution & its properties.mp4 | 32.8 MB | ||
| 27. Binomial Distribution & its properties_Resource_8 1 Binomial Distribution Excel xlsx.xlsx | 28.5 KB | ||
| 28. Predicting Call Quality Using Binomial Models.mp4 | 18.4 MB | ||
| 28. Predicting Call Quality Using Binomial Models_Resource_8 2 Binomial Distribution Python ipynb.bin | 17 KB | ||
| 29. Excel and Python Implementation.mp4 | 99.9 MB | ||
| 30. Applications of Binomial Distribution.mp4 | 21 MB | ||
| 9 - Poisson Distribution | |||
| 31. Poisson Distribution & its properties.mp4 | 32.7 MB | ||
| 31. Poisson Distribution & its properties_Resource_9 1 Poisson Distribution Excel xlsx.xlsx | 15.9 KB | ||
| 32. Modelling Dropped calls with Poisson Distribution.mp4 | 13.1 MB | ||
| 32. Modelling Dropped calls with Poisson Distribution_Resource_9 2 Poisson Distribution Python ipynb.bin | 26.1 KB | ||
| 33. Practical Poisson Calculations in Excel and Python.mp4 | 52.9 MB | ||
| 34. Use Cases Poisson Distribution.mp4 | 24 MB | ||
| 8. Understanding Central Tendency.mp4 | 39.1 MB | ||
| 8. Understanding Central Tendency_Resource_3 1 Measures of Central Tendency Python ipynb.bin | 2 KB | ||
| 9. Example Analyzing Call Duration Data.mp4 | 26 MB | ||
| 9. Example Analyzing Call Duration Data_Resource_3 2 Measures of Central Tendency xlsx.xlsx | 12.2 KB | ||
| 4. Python Basics for Data Analysis (Handson).mp4 | 54.1 MB | ||
| 4. Python Basics for Data Analysis (Handson)_Resource_2 1 Python Basics for Data Analysis Handson ipynb.bin | 2.7 KB | ||
| 5. Loop function in Python.mp4 | 32.8 MB | ||
| 5. Loop function in Python_Resource_2 2 Loop function in Python ipynb.bin | 1.2 KB | ||
| 6. Using Conditional Statements.mp4 | 36.9 MB | ||
| 6. Using Conditional Statements_Resource_2 3 Using Conditional Statements to Detect Network Congestion ipynb.bin | 1.1 KB | ||
| 7. Data Visualization.mp4 | 50.5 MB | ||
| 7. Data Visualization_Resource_2 4 Data Visualization Analyzing Network Performance ipynb.bin | 34.4 KB | ||
| 39. Inferential Statistics Overview.mp4 | 35.4 MB | ||
| 40. Forecasting Data Usage with Inferential Methods.mp4 | 17.7 MB | ||
| 41. Introduction to Hypothesis Testing.mp4 | 84 MB | ||
| 42. Understanding t Tests and Their Variants.mp4 | 42.2 MB | ||
| 43. Step by Step Performing a Two Sample t Test.mp4 | 15.4 MB | ||
| 44. Use Case Predicting 5G Data Speeds Using t Tests.mp4 | 47.2 MB | ||
| 35. Bayes' Theorem Overview.mp4 | 17.3 MB | ||
| 36. Predicting Customer Churn.mp4 | 50.8 MB | ||
| 36. Predicting Customer Churn_Resource_10 2 Predicting Customer Churn xlsx.xlsx | 36.9 KB | ||
| 37. Implementing Bayes’ Theorem in Python.mp4 | 23.4 MB | ||
| 38. Use cases Bayes Theorem.mp4 | 20.7 MB | ||
| 2. Exploring Variables Using Examples.mp4 | 45.7 MB | ||
| 2. Exploring Variables Using Examples_Resource_1 2 Exploring Variables Using Telecom Industry Examples xlsx.xlsx | 14 KB | ||
| 3. Quantitative Variables Concepts and Applications.mp4 | 49.7 MB | ||
| 3. Quantitative Variables Concepts and Applications_Resource_1 3 Quantitative Variables Concepts and Applications xlsx.xlsx | 16.3 KB |
Applied Statistics & Probability for Data Science: Python
https://WebToolTip.com
Published 12/2025
Created by Rahul kaundal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 8m ) | Size: 1.48 GB
Solve Real Problems with Data: An In-Depth Guide to Statistics, Probability, Hypothesis testing using Python & Excel
What you'll learn
Master Foundational Probability & Statistics
Perform Robust Data Analysis with Python
Communicate Data-Driven Insights
Learners will gain hands-on skills for manipulating data and preparing it for deeper analysis
Learn Descriptive Statistics, Probability and Distributions indepth with industry use cases
Requirements
No programming experience required
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| 4.1 GB | freecoursewb | 4 months | 0 | 0 | |
| 2.8 GB | freecoursewb | 6 months | 0 | 0 | |
| 814.7 MB | freecoursewb | 8 months | 0 | 0 | |
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