[Udemy] - Data Statistics with Full Stack Python [Getnewcourses]
Torrent Info
| Category | Other |
| Added | Friday 2nd June 2023 08:39:42 AM (3 years ago) |
| Size | 2.8 GB |
| Peers | 1 Peers (0 Seeders and 1 leechers) update |
| Downloaded | 1 times |
| Uploader | abia9220 Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 0 |
| Leechers | 1 |
Torrent Screenshots
NFO
No NFO was added for this torrent.
| Filename | Size |
|---|---|
| Visit Freecourseit.com.url | 342 bytes |
| Visit Getnewcourses.com.url | 343 bytes |
| ReadMe.txt | 627 bytes |
| 1 - Python Fundamentals/ReadMe.txt | 627 bytes |
| 1 - Python Fundamentals/Code Password.mp4 | 966.8 KB |
| 8 - Exploratory Data Analysis/Introduction.mp4 | 2.2 MB |
| 9 - Simple Linear Regression/Residual Square Error (RSE).mp4 | 2.6 MB |
| 1 - Python Fundamentals/Python Introduction.mp4 | 4.3 MB |
| 5 - Inferential Statistics/Commulative Distribution.mp4 | 4.8 MB |
| 1 - Python Fundamentals/Logical Operations.mp4 | 5.1 MB |
| 3 - Pandas/Operations Part1.mp4 | 5.9 MB |
| 9 - Simple Linear Regression/Introduction to Machine Learning.mp4 | 6.0 MB |
| 5 - Inferential Statistics/Inferential Statistics.mp4 | 6.0 MB |
| 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part3.mp4 | 6.0 MB |
| 1 - Python Fundamentals/List Part1.mp4 | 6.0 MB |
| 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part4.mp4 | 6.1 MB |
| 6 - Hypothesis Testing/t- distribution Part1.mp4 | 6.2 MB |
| 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part5.mp4 | 7.1 MB |
| 6 - Hypothesis Testing/Critical Value Method.mp4 | 7.3 MB |
| 5 - Inferential Statistics/Central Limit Theorem.mp4 | 7.4 MB |
| 5 - Inferential Statistics/Confidence Interval Part2.mp4 | 7.6 MB |
| 5 - Inferential Statistics/Expected Values Part2.mp4 | 8.2 MB |
| 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part2.mp4 | 8.5 MB |
| 6 - Hypothesis Testing/Types of Error.mp4 | 8.9 MB |
| 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part1.mp4 | 9.0 MB |
| 6 - Hypothesis Testing/More Examples.mp4 | 9.4 MB |
| 9 - Simple Linear Regression/Introduction to Linear Regression (LR).mp4 | 10.0 MB |
| 5 - Inferential Statistics/Normal Distribution.mp4 | 10.8 MB |
| 6 - Hypothesis Testing/t- distribution Part2.mp4 | 11.1 MB |
| 5 - Inferential Statistics/PDF.mp4 | 11.7 MB |
| 1 - Python Fundamentals/String Part2.mp4 | 12.9 MB |
| 5 - Inferential Statistics/Expected Values Part1.mp4 | 13.4 MB |
| 5 - Inferential Statistics/Probability Distribution.mp4 | 13.5 MB |
| 3 - Pandas/Merging Part 1.mp4 | 13.7 MB |
| 5 - Inferential Statistics/z Score.mp4 | 13.8 MB |
| 8 - Exploratory Data Analysis/Segmented Analysis.mp4 | 13.9 MB |
| 3 - Pandas/Pivot Table.mp4 | 14.2 MB |
| 5 - Inferential Statistics/Sampling Distribution.mp4 | 14.6 MB |
| 4 - Some Fun With Maths/Linear Algebra - 2D to nD Part2.mp4 | 14.6 MB |
| 2 - Numpy/Introduction.mp4 | 14.7 MB |
| 6 - Hypothesis Testing/Examples.mp4 | 15.4 MB |
| 3 - Pandas/Merging Part2.mp4 | 15.7 MB |
| 4 - Some Fun With Maths/Linear Algebra - Going From 2D to nD Part1.mp4 | 16.0 MB |
| 6 - Hypothesis Testing/NULL and Alternate Hypothesis.mp4 | 16.1 MB |
| 5 - Inferential Statistics/Without Experiment.mp4 | 16.5 MB |
| 1 - Python Fundamentals/Numeric Operations in Python.mp4 | 16.8 MB |
| 6 - Hypothesis Testing/Introduction.mp4 | 17.4 MB |
| 3 - Pandas/loc and iloc.mp4 | 17.5 MB |
| 1 - Python Fundamentals/Tuples.mp4 | 17.5 MB |
| 8 - Exploratory Data Analysis/Data Cleaning part2.mp4 | 17.6 MB |
| 1 - Python Fundamentals/List Part3.mp4 | 18.0 MB |
| 5 - Inferential Statistics/Confidence Interval Part1.mp4 | 19.4 MB |
| 9 - Simple Linear Regression/Types of Machine Learning.mp4 | 19.6 MB |
| 3 - Pandas/Reading CSV.mp4 | 20.0 MB |
| 1 - Python Fundamentals/List Part2.mp4 | 20.8 MB |
| 6 - Hypothesis Testing/One_Two Tailed Tests.mp4 | 20.9 MB |
| 3 - Pandas/Introduction.mp4 | 21.0 MB |
| 3 - Pandas/Operations Part2.mp4 | 21.4 MB |
| 5 - Inferential Statistics/Sampling.mp4 | 22.0 MB |
| 3 - Pandas/groupby.mp4 | 22.7 MB |
| 6 - Hypothesis Testing/p Value.mp4 | 22.8 MB |
| 3 - Pandas/Indexes.mp4 | 23.5 MB |
| 1 - Python Fundamentals/Installation of Python and Anaconda.mp4 | 24.1 MB |
| 9 - Simple Linear Regression/LR Case Study Part3.mp4 | 24.7 MB |
| 1 - Python Fundamentals/Sets.mp4 | 26.1 MB |
| 9 - Simple Linear Regression/LR Case Study Part2.mp4 | 27.6 MB |
| 8 - Exploratory Data Analysis/Data Sourcing and Cleaning part6.mp4 | 28.0 MB |
| 1 - Python Fundamentals/List Part4.mp4 | 28.2 MB |
| 1 - Python Fundamentals/Dictionaries.mp4 | 28.2 MB |
| 3 - Pandas/Series.mp4 | 29.0 MB |
| 9 - Simple Linear Regression/R Square.mp4 | 29.1 MB |
| 9 - Simple Linear Regression/Some Fun With Maths Behind LR.mp4 | 29.4 MB |
| 11 - Loan Analysis Project/Problem Statement.mp4 | 29.5 MB |
| 7 - Data Visualization/Seaborn on Time Series Data.mp4 | 30.4 MB |
| 1 - Python Fundamentals/If else Loop.mp4 | 30.8 MB |
| 8 - Exploratory Data Analysis/Univariate Analysis Part1.mp4 | 30.8 MB |
| 5 - Inferential Statistics/Probability Theory.mp4 | 31.3 MB |
| 3 - Pandas/DataFrame.mp4 | 31.4 MB |
| 9 - Simple Linear Regression/How LR Works.mp4 | 32.0 MB |
| 11 - Loan Analysis Project/Segmented Univariate Analysis.mp4 | 32.5 MB |
| 8 - Exploratory Data Analysis/Bivariate Analysis.mp4 | 33.1 MB |
| 1 - Python Fundamentals/Comprehensions.mp4 | 33.5 MB |
| 8 - Exploratory Data Analysis/Univariate Analysis Part2.mp4 | 34.5 MB |
| 1 - Python Fundamentals/for while Loop.mp4 | 36.1 MB |
| 11 - Loan Analysis Project/Data Analysis - Univariate & Bivariate Analysis.mp4 | 37.3 MB |
| 6 - Hypothesis Testing/z Table.mp4 | 37.8 MB |
| 1 - Python Fundamentals/Functions.mp4 | 39.1 MB |
| 9 - Simple Linear Regression/Installing Anaconda & using Jupyter Notebook.mp4 | 41.6 MB |
| 8 - Exploratory Data Analysis/Data Cleaning part1.mp4 | 43.3 MB |
| 4 - Some Fun With Maths/Linear Algebra - Matrix Part2.mp4 | 46.4 MB |
| 1 - Python Fundamentals/String Part1.mp4 | 47.9 MB |
| 11 - Loan Analysis Project/Lending Club Default Analysis - Data Understanding and Data Cleaning.mp4 | 49.6 MB |
| 1 - Python Fundamentals/Variables in Python.mp4 | 50.4 MB |
| 8 - Exploratory Data Analysis/Derived Columns.mp4 | 50.7 MB |
| 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning - Part 2.mp4 | 53.2 MB |
| 5 - Inferential Statistics/Binomial Distribution.mp4 | 54.1 MB |
| 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 1.mp4 | 54.4 MB |
| 2 - Numpy/Numpy Operations Part1.mp4 | 57.3 MB |
| 4 - Some Fun With Maths/Linear Algebra - Matrix Part1.mp4 | 58.2 MB |
| 7 - Data Visualization/Case Study.mp4 | 60.4 MB |
| 9 - Simple Linear Regression/LR Case Study Part1.mp4 | 72.8 MB |
| 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Data Cleaning Part 1.mp4 | 79.3 MB |
| 2 - Numpy/Numpy Operations Part2.mp4 | 80.1 MB |
| 7 - Data Visualization/Matplotlib.mp4 | 86.0 MB |
| 7 - Data Visualization/Seaborn.mp4 | 91.6 MB |
| 4 - Some Fun With Maths/Linear Algebra - Vectors.mp4 | 93.5 MB |
| 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project Brief.mp4 | 101.0 MB |
| 10 - Real World Problem - Investment Requirement Analysis for a Company/Investment Project_Funding_Country_Sector Analysis Part 2.mp4 | 120.9 MB |
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