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Python for Data Analysis: Projects to Power Your Resume

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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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    تاریخ انتشار: ۶ فروردین ۱۴۰۳
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