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| _Extra Data.xlsx |
344б |
| _Extra Variable.xlsx |
344б |
| _sales data.xlsx |
344б |
| 1.1 Mac.pdf |
1.52Мб |
| 1.2 Windows.pdf |
929.75Кб |
| 1. Debugging errors in seconds.mp4 |
22.91Мб |
| 1. Importing dataset into Jupyter Notebook.mp4 |
39.10Мб |
| 1. Installing Python and Jupyter Notebook.html |
232б |
| 1. Lists creation, indexing, slicing, modifying.mp4 |
73.57Мб |
| 1. Module not found error.mp4 |
8.55Мб |
| 1. One sample T-test.mp4 |
70.21Мб |
| 1. Sorting and arranging dataset.mp4 |
30.87Мб |
| 1. Test normality of numeric data.mp4 |
42.77Мб |
| 1. Understanding data analysis.mp4 |
10.57Мб |
| 1. Various aspects of hypothesis testing.mp4 |
30.42Мб |
| 1. What is exploratory data analysis.mp4 |
27.89Мб |
| 1. Why Python.mp4 |
32.48Мб |
| 2.1 Instructions of setting up ChatGPT.pdf |
409.15Кб |
| 2. Conditional Filtering of dataset.mp4 |
71.64Мб |
| 2. Confidence level, significance level, p-value.mp4 |
27.41Мб |
| 2. Enhancing python codes.mp4 |
25.97Мб |
| 2. Frequency and percentage analysis.mp4 |
165.69Мб |
| 2. Imputing missing values with SimpleImputer.mp4 |
81.07Мб |
| 2. Independent sample T-test.mp4 |
57.32Мб |
| 2. Sets unique elements, operations.mp4 |
38.77Мб |
| 2. Setting Up The AI Environment ChatGPT.html |
138б |
| 2. Square root transformation method.mp4 |
37.78Мб |
| 2. Step-by-step data analysis procedure.mp4 |
9.85Мб |
| 2. Syntax error.mp4 |
9.47Мб |
| 2. Your First Python Code Getting Started.mp4 |
14.52Мб |
| 3. Descriptive analysis for numeric data.mp4 |
95.69Мб |
| 3. Dictionaries key-value pairs, methods.mp4 |
44.56Мб |
| 3. Finding and dealing with inconsistent data.mp4 |
61.76Мб |
| 3. Key error.mp4 |
7.43Мб |
| 3. Logarithm transformation method.mp4 |
37.05Мб |
| 3. Merging extra data with the dataset.mp4 |
31.16Мб |
| 3. One way analysis of variance (ANOVA).mp4 |
67.35Мб |
| 3. Practice dataset and quizz instructions.html |
303б |
| 3. Steps in hypothesis testing.mp4 |
29.81Мб |
| 3. Variables and naming conventions.mp4 |
28.14Мб |
| 4. Boxcox transformation method.mp4 |
37.90Мб |
| 4. Chi-square test for independence.mp4 |
83.64Мб |
| 4. Concatenating variables within dataset.mp4 |
31.35Мб |
| 4. Conditional statements (if, elif, else).mp4 |
28.05Мб |
| 4. Data types integers, float, strings, boolean.mp4 |
28.90Мб |
| 4. Grouping analysis - numeric measure by nominal data.mp4 |
113.57Мб |
| 4. Identify and assign correct dataset.mp4 |
40.34Мб |
| 4. Index error.mp4 |
6.93Мб |
| 4. Statistical data analysis.html |
165б |
| 5. Attribute error.mp4 |
8.60Мб |
| 5. Data Manipulation.html |
165б |
| 5. Dealing with duplicate values.mp4 |
28.24Мб |
| 5. Logical expressions in conditions.mp4 |
40.14Мб |
| 5. Pearson correlation analysis.mp4 |
82.52Мб |
| 5. Pivot table - a tabulation of insights.mp4 |
144.41Мб |
| 5. Type conversion and casting.mp4 |
46.56Мб |
| 5. Yeo-johnson transformation method.mp4 |
41.61Мб |
| 6. Arithmetic operators (+, -, , , %, ).mp4 |
32.60Мб |
| 6. Crosstabulation - categorical vs categorical data.mp4 |
68.58Мб |
| 6. Data Cleaning in Python.html |
165б |
| 6. Data Transformation.html |
165б |
| 6. Linear regression analysis.mp4 |
103.80Мб |
| 6. Looping structures (for loops, while loops).mp4 |
34.81Мб |
| 6. Value error.mp4 |
7.76Мб |
| 7. Comparison operators (, =, =, ==, !=).mp4 |
35.26Мб |
| 7. Correlation - numeric vs numeric data.mp4 |
27.09Мб |
| 7. Defining, Creating and Calling functions.mp4 |
21.28Мб |
| 7. Hypothesis Testing and Analysis.html |
165б |
| 7. Type error.mp4 |
8.33Мб |
| 8. Exploratory data analysis.html |
165б |
| 8. Logical operators (and, or, not).mp4 |
32.12Мб |
| 8. Python Programming Basics – Level 2.html |
165б |
| 9. Python Programming Basics – Level 1.html |
165б |
| Bonus Resources.txt |
386б |
| Extra Data.xlsx |
10.46Кб |
| Extra Variable.xlsx |
32.95Кб |
| Get Bonus Downloads Here.url |
182б |
| sales data.xlsx |
84.98Кб |