| 1. Debugging errors in seconds.mp4 | 22.9 MB | ||
| 1. Importing dataset into Jupyter Notebook.mp4 | 39.1 MB | ||
| 1. Installing Python and Jupyter Notebook.html | 204.8 B | ||
| 1. Lists creation, indexing, slicing, modifying.mp4 | 73.6 MB | ||
| 1. Module not found error.mp4 | 8.6 MB | ||
| 1. One sample T-test.mp4 | 70.2 MB | ||
| 1. Sorting and arranging dataset.mp4 | 30.9 MB | ||
| 1. Test normality of numeric data.mp4 | 42.8 MB | ||
| 1. Understanding data analysis.mp4 | 10.6 MB | ||
| 1. Various aspects of hypothesis testing.mp4 | 30.4 MB | ||
| 1. What is exploratory data analysis.mp4 | 27.9 MB | ||
| 1. Why Python.mp4 | 32.5 MB | ||
| 1.1 Mac.pdf | 1.5 MB | ||
| 1.2 Windows.pdf | 929.7 KB | ||
| 2. Conditional Filtering of dataset.mp4 | 71.6 MB | ||
| 2. Confidence level, significance level, p-value.mp4 | 27.4 MB | ||
| 2. Enhancing python codes.mp4 | 26 MB | ||
| 2. Frequency and percentage analysis.mp4 | 165.7 MB | ||
| 2. Imputing missing values with SimpleImputer.mp4 | 81.1 MB | ||
| 2. Independent sample T-test.mp4 | 57.3 MB | ||
| 2. Sets unique elements, operations.mp4 | 38.8 MB | ||
| 2. Setting Up The AI Environment ChatGPT.html | 102.4 B | ||
| 2. Square root transformation method.mp4 | 37.8 MB | ||
| 2. Step-by-step data analysis procedure.mp4 | 9.8 MB | ||
| 2. Syntax error.mp4 | 9.5 MB | ||
| 2. Your First Python Code Getting Started.mp4 | 14.5 MB | ||
| 2.1 Instructions of setting up ChatGPT.pdf | 409.1 KB | ||
| 3. Descriptive analysis for numeric data.mp4 | 95.7 MB | ||
| 3. Dictionaries key-value pairs, methods.mp4 | 44.6 MB | ||
| 3. Finding and dealing with inconsistent data.mp4 | 61.8 MB | ||
| 3. Key error.mp4 | 7.4 MB | ||
| 3. Logarithm transformation method.mp4 | 37.1 MB | ||
| 3. Merging extra data with the dataset.mp4 | 31.2 MB | ||
| 3. One way analysis of variance (ANOVA).mp4 | 67.3 MB | ||
| 3. Practice dataset and quizz instructions.html | 307.2 B | ||
| 3. Steps in hypothesis testing.mp4 | 29.8 MB | ||
| 3. Variables and naming conventions.mp4 | 28.1 MB | ||
| 4. Boxcox transformation method.mp4 | 37.9 MB | ||
| 4. Chi-square test for independence.mp4 | 83.6 MB | ||
| 4. Concatenating variables within dataset.mp4 | 31.4 MB | ||
| 4. Conditional statements (if, elif, else).mp4 | 28.1 MB | ||
| 4. Data types integers, float, strings, boolean.mp4 | 28.9 MB | ||
| 4. Grouping analysis - numeric measure by nominal data.mp4 | 113.6 MB | ||
| 4. Identify and assign correct dataset.mp4 | 40.3 MB | ||
| 4. Index error.mp4 | 6.9 MB | ||
| 4. Statistical data analysis.html | 204.8 B | ||
| 5. Attribute error.mp4 | 8.6 MB | ||
| 5. Data Manipulation.html | 204.8 B | ||
| 5. Dealing with duplicate values.mp4 | 28.2 MB | ||
| 5. Logical expressions in conditions.mp4 | 40.1 MB | ||
| 5. Pearson correlation analysis.mp4 | 82.5 MB | ||
| 5. Pivot table - a tabulation of insights.mp4 | 144.4 MB | ||
| 5. Type conversion and casting.mp4 | 46.6 MB | ||
| 5. Yeo-johnson transformation method.mp4 | 41.6 MB | ||
| 6. Arithmetic operators (+, -, , , %, ).mp4 | 32.6 MB | ||
| 6. Crosstabulation - categorical vs categorical data.mp4 | 68.6 MB | ||
| 6. Data Cleaning in Python.html | 204.8 B | ||
| 6. Data Transformation.html | 204.8 B | ||
| 6. Linear regression analysis.mp4 | 103.8 MB | ||
| 6. Looping structures (for loops, while loops).mp4 | 34.8 MB | ||
| 6. Value error.mp4 | 7.8 MB | ||
| 7. Comparison operators (, =, =, ==, !=).mp4 | 35.3 MB | ||
| 7. Correlation - numeric vs numeric data.mp4 | 27.1 MB | ||
| 7. Defining, Creating and Calling functions.mp4 | 21.3 MB | ||
| 7. Hypothesis Testing and Analysis.html | 204.8 B | ||
| 7. Type error.mp4 | 8.3 MB | ||
| 8. Exploratory data analysis.html | 204.8 B | ||
| 8. Logical operators (and, or, not).mp4 | 32.1 MB | ||
| 8. Python Programming Basics – Level 2.html | 204.8 B | ||
| 9. Python Programming Basics – Level 1.html | 204.8 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Extra Data.xlsx | 10.5 KB | ||
| Extra Variable.xlsx | 33 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| _Extra Data.xlsx | 307.2 B | ||
| _Extra Variable.xlsx | 307.2 B | ||
| _sales data.xlsx | 307.2 B | ||
| sales data.xlsx | 85 KB | ||
| ▲ 78 total files | |||
Python Data Analysis Bootcamp for Beginners: All in One
https://DevCourseWeb.com
Published 1/2024
Created by Md Shahriar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 59 Lectures ( 7h 4m ) | Size: 2.41 GB
Master Python Essentials, Data Cleaning, Manipulation, Analysis, Transformation, Statistics, Hypothesis Testing and More
What you'll learn:
Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions.
Learn to regulate program flow, use loops and conditional statements like if, elif, and else.
Acquire skills to use Python lists, dictionaries, tuples, and sets.
Learn NumPy and Pandas the key Python packages for data manipulation and computing.
Learn how to quickly fix NameError, TypeError, IndentationError, and other issues.
Harness the power of ChatGPT for real-time code suggestions, completion, and improvement.
Learn and apply the data analysis methodology, from data cleaning to hypothesis testing, in real-world applications.
Increase your critical thinking and problem-solving skills for data analysis, decision-making, and recommendation.
Use value counts, percentage, group by, pivot tables, correlation, and regression professionally and realistically.
Solve over 60+ real-world data analytical questions to practice applying data analysis to various circumstances.
Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions.
Learn Python for data analysis using industry-standard libraries and tools.
Master statistical inference, draw meaningful findings, and make data-driven decisions.
Develop critical thinking, data analysis, and practical recommendations for informed decision-making.
Requirements:
No coding experience is needed
Desire to learn data analysis in python
| torrent name | size | uploader | age | seed | leech |
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| 1.8 GB | freecoursewb | 4 days | 72 | 11 | |
| 2.2 GB | freecoursewb | 4 days | 39 | 13 | |
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Udemy - Data Structures and Algorithms and LeetCode - CPP and Python Posted by
freecoursewb in Other
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633.7 MB | freecoursewb | 1 week | 16 | 4 |
| 3.4 GB | freecoursewb | 1 week | 15 | 8 | |
| 1 GB | freecoursewb | 2 weeks | 0 | 0 |
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