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[ DevCourseWeb com ] Udemy - Python Data Analysis Bootcamp for Beginners - All in One
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Name:[ DevCourseWeb com ] Udemy - Python Data Analysis Bootcamp for Beginners - All in One
Infohash: 5C38B4470761FFF127E3733BE56427B1B908EC2D
Total Size: 2.41 GB
Magnet: Magnet Download
Seeds: 2
Leechers: 3
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-10-20 03:49:05 (Update Now)
Torrent added: 2024-02-01 20:30:06
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1. Setting Up Your Data Analysis Environment
1. Installing Python and Jupyter Notebook.html
1.1 Mac.pdf
1.2 Windows.pdf
2. Setting Up The AI Environment ChatGPT.html
2.1 Instructions of setting up ChatGPT.pdf
10. Statistical Analysis and Hypothesis Testing
1. One sample T-test.mp4
2. Independent sample T-test.mp4
3. One way analysis of variance (ANOVA).mp4
4. Chi-square test for independence.mp4
5. Pearson correlation analysis.mp4
6. Linear regression analysis.mp4
7. Hypothesis Testing and Analysis.html
11. Understanding Python Errors
1. Module not found error.mp4
2. Syntax error.mp4
3. Key error.mp4
4. Index error.mp4
5. Attribute error.mp4
6. Value error.mp4
7. Type error.mp4
12. Handling Errors in Python
1. Debugging errors in seconds.mp4
2. Enhancing python codes.mp4
2. Python Programming Fundamentals - Level 1
1. Why Python.mp4
2. Your First Python Code Getting Started.mp4
3. Variables and naming conventions.mp4
4. Data types integers, float, strings, boolean.mp4
5. Type conversion and casting.mp4
6. Arithmetic operators (+, -, , , %, ).mp4
7. Comparison operators (, =, =, ==, !=).mp4
8. Logical operators (and, or, not).mp4
9. Python Programming Basics – Level 1.html
3. Python Programming Fundamentals - Level 2
1. Lists creation, indexing, slicing, modifying.mp4
2. Sets unique elements, operations.mp4
3. Dictionaries key-value pairs, methods.mp4
4. Conditional statements (if, elif, else).mp4
5. Logical expressions in conditions.mp4
6. Looping structures (for loops, while loops).mp4
7. Defining, Creating and Calling functions.mp4
8. Python Programming Basics – Level 2.html
4. What is Data Analysis
1. Understanding data analysis.mp4
2. Step-by-step data analysis procedure.mp4
3. Practice dataset and quizz instructions.html
Practice datasets
Extra Data.xlsx
Extra Variable.xlsx
sales data.xlsx
__MACOSX
Practice datasets
_Extra Data.xlsx
_Extra Variable.xlsx
_sales data.xlsx
5. Clean Dataset for Integrity and Validity
1. Importing dataset into Jupyter Notebook.mp4
2. Imputing missing values with SimpleImputer.mp4
3. Finding and dealing with inconsistent data.mp4
4. Identify and assign correct dataset.mp4
5. Dealing with duplicate values.mp4
6. Data Cleaning in Python.html
6. Manipulate Data to Increase the Functionality
1. Sorting and arranging dataset.mp4
2. Conditional Filtering of dataset.mp4
3. Merging extra data with the dataset.mp4
4. Concatenating variables within dataset.mp4
5. Data Manipulation.html
7. Explore dataset and generate significant insights
1. What is exploratory data analysis.mp4
2. Frequency and percentage analysis.mp4
3. Descriptive analysis for numeric data.mp4
4. Grouping analysis - numeric measure by nominal data.mp4
5. Pivot table - a tabulation of insights.mp4
6. Crosstabulation - categorical vs categorical data.mp4
7. Correlation - numeric vs numeric data.mp4
8. Exploratory data analysis.html
8. What is Statistical Data Analysis
1. Various aspects of hypothesis testing.mp4
2. Confidence level, significance level, p-value.mp4
3. Steps in hypothesis testing.mp4
4. Statistical data analysis.html
9. Transforming Data into Normal Distribution
1. Test normality of numeric data.mp4
2. Square root transformation method.mp4
3. Logarithm transformation method.mp4
4. Boxcox transformation method.mp4
5. Yeo-johnson transformation method.mp4
6. Data Transformation.html
Bonus Resources.txt
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