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[ CourseLala com ] Udemy - Data Analysis And Data Visualization With Python
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1. Introduction
1. Installing Python.mp4
1. Installing Python.srt
2. Installing Jupyter Notebook.mp4
2. Installing Jupyter Notebook.srt
3. Installing PyCharm.mp4
3. Installing PyCharm.srt
4. Python Programs In Many Ways.mp4
4. Python Programs In Many Ways.srt
10. Dealing With Missing Data
1. Missing Data Imputation - Lecture 1.mp4
1. Missing Data Imputation - Lecture 1.srt
2. Missing Data Imputation - Lecture 2.mp4
2. Missing Data Imputation - Lecture 2.srt
11. Random Variables
1. What Is A Random Variable.mp4
1. What Is A Random Variable.srt
2. Random Variables - An Exercise.mp4
2. Random Variables - An Exercise.srt
3. Types Of Random Variables.mp4
3. Types Of Random Variables.srt
4. Probability Mass And Density Function.mp4
4. Probability Mass And Density Function.srt
5. Uniform Distribution And Cumulative Distribution Function.mp4
5. Uniform Distribution And Cumulative Distribution Function.srt
6. Calculating Expectations.mp4
6. Calculating Expectations.srt
7. Calculating Variance.mp4
7. Calculating Variance.srt
8. Probability Distribution With Python.mp4
8. Probability Distribution With Python.srt
12. Statistical Inference
1. Point Estimation.mp4
1. Point Estimation.srt
2. Characteristics of a Good Point Estimator.mp4
2. Characteristics of a Good Point Estimator.srt
3. MLE, Least Square, MVUE.mp4
3. MLE, Least Square, MVUE.srt
13. Test Of Hypothesis
1. Test Of Hypothesis.mp4
1. Test Of Hypothesis.srt
2. The Basics Of Normality Test.mp4
2. The Basics Of Normality Test.srt
3. Test Of Normality - Lecture 2.mp4
3. Test Of Normality - Lecture 2.srt
4. Test Of Normality - Lecture 3.mp4
4. Test Of Normality - Lecture 3.srt
14. Contingency Tables
1. Contingency Table - Lecture 1.mp4
1. Contingency Table - Lecture 1.srt
2. Contingency Table - Lecture 2.mp4
2. Contingency Table - Lecture 2.srt
15. Linear Regression
1. Understanding Linear Regression.mp4
1. Understanding Linear Regression.srt
2. Estimating Coefficients Of Linear Regression.mp4
2. Estimating Coefficients Of Linear Regression.srt
3. Understanding t-value and p-value.mp4
3. Understanding t-value and p-value.srt
4. Multiple R-square And Residual Standard Error.mp4
4. Multiple R-square And Residual Standard Error.srt
5. Linear Regression With Python.mp4
5. Linear Regression With Python.srt
16. Logistic Regression
1. Understanding Logistic Regression Problems.mp4
1. Understanding Logistic Regression Problems.srt
2. Understanding Data For Logistic Regression.mp4
2. Understanding Data For Logistic Regression.srt
3. Explaining A Logistic Regression Model.mp4
3. Explaining A Logistic Regression Model.srt
4. Fitting A Logistic Regression Model.mp4
4. Fitting A Logistic Regression Model.srt
5. Logistic Regression With Python.mp4
5. Logistic Regression With Python.srt
2. Working With Numbers In Python
1. Defining Numbers In Python.mp4
1. Defining Numbers In Python.srt
2. Basic Operations On Numbers.mp4
2. Basic Operations On Numbers.srt
3. The Built-in Python Functions.mp4
3. The Built-in Python Functions.srt
3. Working With Strings In Python
1. Defining Strings In Python.mp4
1. Defining Strings In Python.srt
2. Accessing Strings Elements In Python.mp4
2. Accessing Strings Elements In Python.srt
3. Concatenation And Slicing Of Strings.mp4
3. Concatenation And Slicing Of Strings.srt
4. Other String Operators In Python.mp4
4. Other String Operators In Python.srt
4. Handling Files In Python
1. File Handling In Python - Lesson 1.mp4
1. File Handling In Python - Lesson 1.srt
2. File Handling In Python - Lesson 2.mp4
2. File Handling In Python - Lesson 2.srt
3. File Handling In Python - Lesson 3.mp4
3. File Handling In Python - Lesson 3.srt
5. Modules And Packages
1. Module Creations And Usage.mp4
1. Module Creations And Usage.srt
2. Package Creation And Importing.mp4
2. Package Creation And Importing.srt
6. The NumPy Library
1. Starting With NumPy Library.mp4
1. Starting With NumPy Library.srt
2. Working With Arrays Using NumPy Library.mp4
2. Working With Arrays Using NumPy Library.srt
7. Basic Statistics
1. Statistics And Its Applications.mp4
1. Statistics And Its Applications.srt
2. Types Of Variables And Scales.mp4
2. Types Of Variables And Scales.srt
3. Describing Data.mp4
3. Describing Data.srt
4. Distribution And Measure Of Central Tendency.mp4
4. Distribution And Measure Of Central Tendency.srt
5. Measure Of Dispersion.mp4
5. Measure Of Dispersion.srt
6. Skewness And kurtosis.mp4
6. Skewness And kurtosis.srt
7. Box And Whisker Plot, Scatter Plot And Correlation Coefficient.mp4
7. Box And Whisker Plot, Scatter Plot And Correlation Coefficient.srt
8. Data Manipulation With Pandas Library In Python
1. Starting With Pandas.mp4
1. Starting With Pandas.srt
2. Slicing Of A Sequence.mp4
2. Slicing Of A Sequence.srt
3. DataFrame In Pandas.mp4
3. DataFrame In Pandas.srt
4. Data Slicing And Grouping.mp4
4. Data Slicing And Grouping.srt
5. Filtering And Sorting Data.mp4
5. Filtering And Sorting Data.srt
9. Data Visualization With Python
1. Data Visualization - Starting With Matplotlib.mp4
1. Data Visualization - Starting With Matplotlib.srt
2. Data Visualization - The Dataset.mp4
2. Data Visualization - The Dataset.srt
3. Data Analysis And Visualization.mp4
3. Data Analysis And Visualization.srt
Bonus Resources.txt
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