Download Udemy - Applied Statistics and Probability for Data Science - Python torrent

Udemy - Applied Statistics and Probability for Data Science - Python

Torrent:	Udemy - Applied Statistics and Probability for Data Science - Python
Description:	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
Downloads:	53
Category:	Other /Tutorials
Size:	1.5 GB
Show Files »	[ WebToolTip.com ] Udemy - Applied Statistics and Probability for Data Science - Python Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Foundations of Statistics 1. Introduction.mp4 (65.0 MB) 1. Introduction_Resource_1 1 Introduction to Statistics Understanding Data and Datasets xlsx.xlsx (13.2 KB) 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 (14.0 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) 10 - Bayes' Theorem and Predictive Analytics 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) 11 - Inferential Statistics and Hypothesis Testing 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 (84.0 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) 2 - Python Basics for Analytics 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) 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) 8. Understanding Central Tendency.mp4 (39.1 MB) 8. Understanding Central Tendency_Resource_3 1 Measures of Central Tendency Python ipynb.bin (2.0 KB) 9. Example Analyzing Call Duration Data.mp4 (26.0 MB) 9. Example Analyzing Call Duration Data_Resource_3 2 Measures of Central Tendency xlsx.xlsx (12.2 KB) 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 (22.0 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 (48.0 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 (17.0 KB) 29. Excel and Python Implementation.mp4 (99.9 MB) 30. Applications of Binomial Distribution.mp4 (21.0 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 (24.0 MB) Bonus Resources.txt (0.1 KB) files
Added:	2026-01-10 04:39:52
Language:	English
Peers:	Seeders : 12 , Leechers : 9
Tags:	IT & Software Statistics Udemy
Release name:	Udemy - Applied Statistics and Probability for Data Science - Python
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