Python for Data Analysis: Projects to Power Your Resume

سرفصل های دوره

Master Python for Data Analysis: Dive into Pandas, Visualization, and Real-World Projects to add to your Resume!

1. Introduction to the Course and Installation

1.1 Python for Data Analysis- Essential Files.zip

1. Introduction to the Course

2. Install Python and Anaconda on Windows

3. Install Python and Anaconda on Mac

4. Accessing the materials needed for the course.html

2. Introduction to Spyder and Python

1. Introduction to Spyder

2. Basic Run Through of Python

3. Basic Foundations of Python

4. Basics of Python Quiz.html

5. Exploring Basic Python Structures.html

3. Introduction to Numpy

1. Introduction to Numpy

2. Calculating Statistics with Numpy

3. Indexing and Slicing with Numpy

4. Numpy Overview.html

5. Practical NumPy Analyzing and Manipulating Data.html

4. Introduction to Pandas

1. Introduction to Pandas

2. Accessing Data in a DataFrame

3. Grouping and Aggregating Data with DataFrames

4. How to Merge DataFrames

5. Pandas Overview.html

6. Practical Pandas Dataframe Operations and Analysis.html

5. Project 1 Analyzing Amazon Sales Data

1.1 Amazon Sales Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Analyzing Amazon Sales Data - Introduction

2.1 Amazon Sales Project.zip

2.2 Slides and Project Brief Python for Data Analysis.pdf

2. Importing, Exploring and Cleaning Data

3. Aggregating Sales Data

4. Renaming Columns and Exporting Data

5. Uploading code to Github

6. Testing what youve learned in Project 1.html

7. Exploring Sales Data with Pandas.html

6. Project 2 Analyzing E-commerce Orders

1.1 Ecommerce Orders Project.zip

1. Analyzing E-commerce Orders - Introduction

2.1 Ecommerce Orders Project.zip

2. Setting the Working Directory in Python

3. Loading Data Files and Checking Data Quality

4. Handling Missing Values in Python

5. Checking for Duplicate Data

6. Filtering Data on Python

7. Merging and Joining DataFrames

8. Creating Data Visualizations

9. Editing and Customizing Plots in Python

10. Creating a Scatter Plot

11. Creating a Stacked Bar Chart

12. Creating Boxplots on Python

13. Creating Subplots in Python

14. Test your Project 2 Knowlege.html

15. Exploring and Visualizing E-commerce Data with Pandas and Matplotlib.html

7. Project 3 Analyzing Pizza Sales

1.1 Pizza Sales Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Analyzing Pizza Sales and Importing Data

2.1 Pizza Sales Project.zip

2.2 Slides and Project Brief Python for Data Analysis.pdf

2. Exploring Data Frames and Descriptive Statistics

3. Dealing with Rows and Columns in Pandas

4. Understanding Indexing in DataFrames

5. Truncating DataFrames and Series in Python

6. Filtering DataFrames

7. Working with missing data

8. Deleting specific rows and columns in a DataFrame

9. Sorting DataFrames

10. Grouping on Python

11. Merging and Concatenating in Python

12. Changing cases in Python

13. Replacing text in Dataframe Columns

14. Removing Whitespaces from Columns

15. Generating a boxplot

16. Project Closeoff

17. Test your Project 3 Knowledge.html

18. Practical Data Manipulation and Visualization in Python.html

8. Project 4 Loan Analysis Overview

1.1 Loan Analysis Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Loan Analysis Overview - Introduction

2.1 Loan Analysis Project.zip

2.2 Slides and Project Brief Python for Data Analysis.pdf

2. Importing Data on Python

3. Joining Data on Python

4. Steps to clean data in Python

5. Introduction to Functions in Python

6. Creating a Function on the Loan Dataset

7. Conditional Statements on Python

8. Practical Application of Functions and Conditions

9. Working with Conditional Statements and Averages in Functions

10. Classes in Python

11. Data Visualizations on Python

12. Quick Overview of Subplots in Python

13. Test your Project 4 Knowledge.html

14. Python Data Analysis and Object-Oriented Programming Exercise.html

9. Project 5 Sentiment Analysis

1.1 Sentiment Analysis Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Sentiment Analysis - Introduction

2.1 Slides and Project Brief Python for Data Analysis.pdf

2. Loading and Reviewing Data

3. Detecting Languages and using try and except

4. Cleaning Text Data

5. Developing a sentiment function

6. Creating a Wordcloud

7. Creating a countplot for sentiment

8. Testing your Project 5 Knowledge.html

10. Conclusion

1. Conclusion

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تولید کننده: Udemy