Torrent Contents Size: 2.4 GB
Udemy - Python Data Analysis Bootcamp for Beginners - All in One
▼ show more 63 files
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1. Debugging errors in seconds.mp4
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MP4
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22.9 MB
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1. Importing dataset into Jupyter Notebook.mp4
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MP4
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39.1 MB
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1. Installing Python and Jupyter Notebook.html
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HTML
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204.8 B
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1. Lists creation, indexing, slicing, modifying.mp4
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73.6 MB
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1. Module not found error.mp4
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8.6 MB
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1. One sample T-test.mp4
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70.2 MB
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1. Sorting and arranging dataset.mp4
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30.9 MB
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1. Test normality of numeric data.mp4
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42.8 MB
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1. Understanding data analysis.mp4
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10.6 MB
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1. Various aspects of hypothesis testing.mp4
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30.4 MB
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1. What is exploratory data analysis.mp4
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27.9 MB
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1. Why Python.mp4
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32.5 MB
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1.1 Mac.pdf
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PDF
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1.5 MB
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1.2 Windows.pdf
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PDF
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929.7 KB
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2. Conditional Filtering of dataset.mp4
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71.6 MB
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2. Confidence level, significance level, p-value.mp4
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27.4 MB
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2. Enhancing python codes.mp4
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26 MB
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2. Frequency and percentage analysis.mp4
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165.7 MB
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2. Imputing missing values with SimpleImputer.mp4
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81.1 MB
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2. Independent sample T-test.mp4
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57.3 MB
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2. Sets unique elements, operations.mp4
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38.8 MB
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2. Setting Up The AI Environment ChatGPT.html
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HTML
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102.4 B
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2. Square root transformation method.mp4
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37.8 MB
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2. Step-by-step data analysis procedure.mp4
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9.8 MB
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2. Syntax error.mp4
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9.5 MB
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2. Your First Python Code Getting Started.mp4
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14.5 MB
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2.1 Instructions of setting up ChatGPT.pdf
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PDF
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409.1 KB
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3. Descriptive analysis for numeric data.mp4
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95.7 MB
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3. Dictionaries key-value pairs, methods.mp4
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44.6 MB
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3. Finding and dealing with inconsistent data.mp4
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61.8 MB
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3. Key error.mp4
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7.4 MB
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3. Logarithm transformation method.mp4
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37.1 MB
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3. Merging extra data with the dataset.mp4
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31.2 MB
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3. One way analysis of variance (ANOVA).mp4
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67.3 MB
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3. Practice dataset and quizz instructions.html
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HTML
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307.2 B
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3. Steps in hypothesis testing.mp4
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29.8 MB
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3. Variables and naming conventions.mp4
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28.1 MB
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4. Boxcox transformation method.mp4
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37.9 MB
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4. Chi-square test for independence.mp4
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83.6 MB
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4. Concatenating variables within dataset.mp4
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31.4 MB
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4. Conditional statements (if, elif, else).mp4
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28.1 MB
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4. Data types integers, float, strings, boolean.mp4
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28.9 MB
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4. Grouping analysis - numeric measure by nominal data.mp4
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113.6 MB
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4. Identify and assign correct dataset.mp4
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40.3 MB
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4. Index error.mp4
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MP4
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6.9 MB
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4. Statistical data analysis.html
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HTML
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204.8 B
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5. Attribute error.mp4
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MP4
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8.6 MB
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5. Data Manipulation.html
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HTML
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204.8 B
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5. Dealing with duplicate values.mp4
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28.2 MB
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5. Logical expressions in conditions.mp4
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40.1 MB
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5. Pearson correlation analysis.mp4
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82.5 MB
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5. Pivot table - a tabulation of insights.mp4
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144.4 MB
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5. Type conversion and casting.mp4
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46.6 MB
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5. Yeo-johnson transformation method.mp4
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41.6 MB
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6. Arithmetic operators (+, -, , , %, ).mp4
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32.6 MB
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6. Crosstabulation - categorical vs categorical data.mp4
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68.6 MB
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6. Data Cleaning in Python.html
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HTML
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204.8 B
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6. Data Transformation.html
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HTML
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204.8 B
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6. Linear regression analysis.mp4
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103.8 MB
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6. Looping structures (for loops, while loops).mp4
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34.8 MB
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6. Value error.mp4
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7.8 MB
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7. Comparison operators (, =, =, ==, !=).mp4
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35.3 MB
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7. Correlation - numeric vs numeric data.mp4
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27.1 MB
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7. Defining, Creating and Calling functions.mp4
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21.3 MB
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7. Hypothesis Testing and Analysis.html
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HTML
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204.8 B
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7. Type error.mp4
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MP4
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8.3 MB
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8. Exploratory data analysis.html
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HTML
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204.8 B
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8. Logical operators (and, or, not).mp4
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MP4
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32.1 MB
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8. Python Programming Basics – Level 2.html
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HTML
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204.8 B
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9. Python Programming Basics – Level 1.html
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HTML
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204.8 B
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Bonus Resources.txt
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TXT
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409.6 B
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Extra Data.xlsx
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XLSX
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10.5 KB
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Extra Variable.xlsx
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XLSX
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33 KB
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Get Bonus Downloads Here.url
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URL
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204.8 B
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_Extra Data.xlsx
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XLSX
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307.2 B
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_Extra Variable.xlsx
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XLSX
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307.2 B
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_sales data.xlsx
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XLSX
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307.2 B
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sales data.xlsx
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XLSX
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85 KB
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