Udemy - Python Data Analysis Bootcamp For Beginners - All In One

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Udemy - Python Data Analysis Bootcamp for Beginners - All in OneUdemy - Python Data Analysis Bootcamp for Beginners - All in One

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Udemy - Python Data Analysis Bootcamp for Beginners - All in One.torrent
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5c38b4470761fff127e3733be56427b1b908ec2d
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2.4 GB in 77 files
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Uploaded on 01-02-2024 by our crawler pet called "Spidey".
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Description

[ DevCourseWeb.com ] Python Data Analysis Bootcamp for Beginners: All in One



If You Need More Stuff, kindly Visit and Support Us -->> 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



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



Get More Tutorials and Support Us -->> https://FreeCourseWeb.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Setting Up Your Data Analysis Environment/1. Installing Python and Jupyter Notebook.html232 B
~Get Your Files Here !/1. Setting Up Your Data Analysis Environment/1.1 Mac.pdf1.5 MB
~Get Your Files Here !/1. Setting Up Your Data Analysis Environment/1.2 Windows.pdf929.7 KB
~Get Your Files Here !/1. Setting Up Your Data Analysis Environment/2. Setting Up The AI Environment ChatGPT.html138 B
~Get Your Files Here !/1. Setting Up Your Data Analysis Environment/2.1 Instructions of setting up ChatGPT.pdf409.1 KB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/1. One sample T-test.mp470.2 MB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/2. Independent sample T-test.mp457.3 MB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/3. One way analysis of variance (ANOVA).mp467.3 MB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/4. Chi-square test for independence.mp483.6 MB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/5. Pearson correlation analysis.mp482.5 MB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/6. Linear regression analysis.mp4103.8 MB
~Get Your Files Here !/10. Statistical Analysis and Hypothesis Testing/7. Hypothesis Testing and Analysis.html165 B
~Get Your Files Here !/11. Understanding Python Errors/1. Module not found error.mp48.6 MB
~Get Your Files Here !/11. Understanding Python Errors/2. Syntax error.mp49.5 MB
~Get Your Files Here !/11. Understanding Python Errors/3. Key error.mp47.4 MB
~Get Your Files Here !/11. Understanding Python Errors/4. Index error.mp46.9 MB
~Get Your Files Here !/11. Understanding Python Errors/5. Attribute error.mp48.6 MB
~Get Your Files Here !/11. Understanding Python Errors/6. Value error.mp47.8 MB
~Get Your Files Here !/11. Understanding Python Errors/7. Type error.mp48.3 MB
~Get Your Files Here !/12. Handling Errors in Python/1. Debugging errors in seconds.mp422.9 MB
~Get Your Files Here !/12. Handling Errors in Python/2. Enhancing python codes.mp426 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/1. Why Python.mp432.5 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/2. Your First Python Code Getting Started.mp414.5 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/3. Variables and naming conventions.mp428.1 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/4. Data types integers, float, strings, boolean.mp428.9 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/5. Type conversion and casting.mp446.6 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/6. Arithmetic operators (+, -, , , %, ).mp432.6 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/7. Comparison operators (, =, =, ==, !=).mp435.3 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/8. Logical operators (and, or, not).mp432.1 MB
~Get Your Files Here !/2. Python Programming Fundamentals - Level 1/9. Python Programming Basics – Level 1.html165 B
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/1. Lists creation, indexing, slicing, modifying.mp473.6 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/2. Sets unique elements, operations.mp438.8 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/3. Dictionaries key-value pairs, methods.mp444.6 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/4. Conditional statements (if, elif, else).mp428.1 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/5. Logical expressions in conditions.mp440.1 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/6. Looping structures (for loops, while loops).mp434.8 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/7. Defining, Creating and Calling functions.mp421.3 MB
~Get Your Files Here !/3. Python Programming Fundamentals - Level 2/8. Python Programming Basics – Level 2.html165 B
~Get Your Files Here !/4. What is Data Analysis/1. Understanding data analysis.mp410.6 MB
~Get Your Files Here !/4. What is Data Analysis/2. Step-by-step data analysis procedure.mp49.8 MB
~Get Your Files Here !/4. What is Data Analysis/3. Practice dataset and quizz instructions.html303 B
~Get Your Files Here !/4. What is Data Analysis/Practice datasets/Extra Data.xlsx10.5 KB
~Get Your Files Here !/4. What is Data Analysis/Practice datasets/Extra Variable.xlsx33 KB
~Get Your Files Here !/4. What is Data Analysis/Practice datasets/sales data.xlsx85 KB
~Get Your Files Here !/4. What is Data Analysis/__MACOSX/Practice datasets/_Extra Data.xlsx344 B
~Get Your Files Here !/4. What is Data Analysis/__MACOSX/Practice datasets/_Extra Variable.xlsx344 B
~Get Your Files Here !/4. What is Data Analysis/__MACOSX/Practice datasets/_sales data.xlsx344 B
~Get Your Files Here !/5. Clean Dataset for Integrity and Validity/1. Importing dataset into Jupyter Notebook.mp439.1 MB
~Get Your Files Here !/5. Clean Dataset for Integrity and Validity/2. Imputing missing values with SimpleImputer.mp481.1 MB
~Get Your Files Here !/5. Clean Dataset for Integrity and Validity/3. Finding and dealing with inconsistent data.mp461.8 MB
~Get Your Files Here !/5. Clean Dataset for Integrity and Validity/4. Identify and assign correct dataset.mp440.3 MB
~Get Your Files Here !/5. Clean Dataset for Integrity and Validity/5. Dealing with duplicate values.mp428.2 MB
~Get Your Files Here !/5. Clean Dataset for Integrity and Validity/6. Data Cleaning in Python.html165 B
~Get Your Files Here !/6. Manipulate Data to Increase the Functionality/1. Sorting and arranging dataset.mp430.9 MB
~Get Your Files Here !/6. Manipulate Data to Increase the Functionality/2. Conditional Filtering of dataset.mp471.6 MB
~Get Your Files Here !/6. Manipulate Data to Increase the Functionality/3. Merging extra data with the dataset.mp431.2 MB
~Get Your Files Here !/6. Manipulate Data to Increase the Functionality/4. Concatenating variables within dataset.mp431.4 MB
~Get Your Files Here !/6. Manipulate Data to Increase the Functionality/5. Data Manipulation.html165 B
~Get Your Files Here !/7. Explore dataset and generate significant insights/1. What is exploratory data analysis.mp427.9 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/2. Frequency and percentage analysis.mp4165.7 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/3. Descriptive analysis for numeric data.mp495.7 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/4. Grouping analysis - numeric measure by nominal data.mp4113.6 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/5. Pivot table - a tabulation of insights.mp4144.4 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/6. Crosstabulation - categorical vs categorical data.mp468.6 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/7. Correlation - numeric vs numeric data.mp427.1 MB
~Get Your Files Here !/7. Explore dataset and generate significant insights/8. Exploratory data analysis.html165 B
~Get Your Files Here !/8. What is Statistical Data Analysis/1. Various aspects of hypothesis testing.mp430.4 MB
~Get Your Files Here !/8. What is Statistical Data Analysis/2. Confidence level, significance level, p-value.mp427.4 MB
~Get Your Files Here !/8. What is Statistical Data Analysis/3. Steps in hypothesis testing.mp429.8 MB
~Get Your Files Here !/8. What is Statistical Data Analysis/4. Statistical data analysis.html165 B
~Get Your Files Here !/9. Transforming Data into Normal Distribution/1. Test normality of numeric data.mp442.8 MB
~Get Your Files Here !/9. Transforming Data into Normal Distribution/2. Square root transformation method.mp437.8 MB
~Get Your Files Here !/9. Transforming Data into Normal Distribution/3. Logarithm transformation method.mp437.1 MB
~Get Your Files Here !/9. Transforming Data into Normal Distribution/4. Boxcox transformation method.mp437.9 MB
~Get Your Files Here !/9. Transforming Data into Normal Distribution/5. Yeo-johnson transformation method.mp441.6 MB
~Get Your Files Here !/9. Transforming Data into Normal Distribution/6. Data Transformation.html165 B
~Get Your Files Here !/Bonus Resources.txt386 B

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