| 1 -4_Probability - Methods.pdf | 1.6 MB | ||
| 1 -About Iris Dataset.mp4 | 9.3 MB | ||
| 1 -Introduction to Probability.mp4 | 17.8 MB | ||
| 1 -Measure of Central Tendency.mp4 | 150.1 MB | ||
| 1 -Population and Sample.mp4 | 49.9 MB | ||
| 1 -Probability with Python - Marginal Probability.mp4 | 92.3 MB | ||
| 1 -Sampling Techniques.mp4 | 48.6 MB | ||
| 10 -Probability Tree Example - 1.mp4 | 51.1 MB | ||
| 11 -Probability Tree Example - 2.mp4 | 24.7 MB | ||
| 12 -Bayes Theorem.mp4 | 65.3 MB | ||
| 13 -Bayes Theorem Example - 1.mp4 | 51.6 MB | ||
| 14 -Independent and Dependent Events.mp4 | 52.6 MB | ||
| 15 -Example Questions - Independent and Dependent.mp4 | 30 MB | ||
| 16 -Summary.mp4 | 26.2 MB | ||
| 17 -Probability Matrix.mp4 | 69.9 MB | ||
| 18 -Probability Tree with Probability Matrix.mp4 | 27 MB | ||
| 2 -Classical Method - A Priori Probability.mp4 | 54.7 MB | ||
| 2 -Exercise question.mp4 | 58.4 MB | ||
| 2 -Marginal Probability Examples in Python.mp4 | 31 MB | ||
| 2 -Open Jupyter Notebook and Import Libraries with Pandas.mp4 | 67.5 MB | ||
| 2 -Variable, Measurement and Data.mp4 | 57.3 MB | ||
| 3 -Data Measurement - Nominal, Ordinal, Interval, Ratio.mp4 | 59.5 MB | ||
| 3 -Generate Contingency Table using Group by.mp4 | 41.2 MB | ||
| 3 -Load Dataset and Dimensions of data using Pandas.mp4 | 26.5 MB | ||
| 3 -Measure Of Spread.mp4 | 46.8 MB | ||
| 3 -Relative Frequency of Occurrence - Empirical Probability.mp4 | 54.9 MB | ||
| 4 -Data Measurement - Example.mp4 | 14.2 MB | ||
| 4 -Generate Contingency Table using Pivot table.mp4 | 23.1 MB | ||
| 4 -Measure of Spread - Quartiles.mp4 | 69.4 MB | ||
| 4 -Measuring Central Tendencies of data using Pandas.mp4 | 52.1 MB | ||
| 4 -Subjective Probability.mp4 | 18.6 MB | ||
| 5 -Calculating Probabilities - in Casino Game.mp4 | 69.1 MB | ||
| 5 -Generate Contingency Table using Cross Tab.mp4 | 15.2 MB | ||
| 5 -Measure of Spread - Box and Whisker Plot.mp4 | 84.5 MB | ||
| 5 -Measuring Spread and Variability of data using Pandas.mp4 | 110.6 MB | ||
| 6 -Measure of Variability - Variance and Standard Deviation.mp4 | 79.2 MB | ||
| 6 -Probability of Winning - Roulette.mp4 | 64.9 MB | ||
| 6 -Visualizing Spread in Box Plot.mp4 | 59.6 MB | ||
| 7 -Mutually Exclusive and Intersection Events.mp4 | 78.6 MB | ||
| 7 -Visualizing Spread in Box Plot for all columns.mp4 | 42.1 MB | ||
| 8 -Conditional Probability.mp4 | 33.4 MB | ||
| 9 -Probability Tree.mp4 | 41.4 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 44 total files | |||
Essential Statistics for Data Science With Python
https://WebToolTip.com
Published 8/2025
Created by datascience Anywhere,G Sudheer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 41 Lectures ( 6h 10m ) | Size: 2.1 GB
Learn Core Statistical Concepts and Apply Them to Real Data with Python
What you'll learn
Explain the role of statistics in data science and why it is essential for data analysis.
Analyze dataset distributions using skewness, kurtosis, and visualization techniques.
Apply probability rules and concepts to model uncertainty and randomness in data.
Use Python (with pandas) to perform descriptive statistical analysis and visualize key insights.
Bridge theoretical concepts with practical coding to prepare for inferential statistics and machine learning.
Requirements
Basic knowledge of Python programming (variables, lists, functions, loops).
Familiarity with Jupyter Notebook or any Python environment.
Very basic understanding of data (rows, columns, datasets).
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