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