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Update README.md to include tutorial on Pandas
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alushaks authored Jun 12, 2024
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Expand Up @@ -21,6 +21,11 @@ Welcome to the Data Analysis Tutorial repository! This repository contains a com
3. [Advanced Charting Techniques](01_Excel/02_Intermediate/03_Advanced_Charting.md)
4. [Conditional Formatting](01_Excel/02_Intermediate/04_Conditional_Formatting.md)
5. [Data Validation](01_Excel/02_Intermediate/05_Data_Validation.md)
6. [Creating an Invoice](01_Excel/02_Intermediate/06_Creating_an_Invoice.md)
7. [Case Scenarios](01_Excel/02_Intermediate/07_Case_Scenarios.md)
1. [Budget Tracking](01_Excel/02_Intermediate/07_Case_Scenarios/01_Budget_Tracking.md)
2. [Sales Reporting](01_Excel/02_Intermediate/07_Case_Scenarios/02_Sales_Reporting.md)
3. [Inventory Management](01_Excel/02_Intermediate/07_Case_Scenarios/03_Inventory_Management.md)
3. [Excel Advanced](01_Excel/03_Advanced/README.md)
1. [Macros](01_Excel/03_Advanced/01_Macros.md)
2. [VBA Programming](01_Excel/03_Advanced/02_VBA_Programming.md)
Expand All @@ -44,6 +49,19 @@ Welcome to the Data Analysis Tutorial repository! This repository contains a com
8. [Error Handling](02_Python_Basics/08_Error_Handling.md)
9. [Object-Oriented Programming](02_Python_Basics/09_Object_Oriented_Programming.md)
3. [Pandas](03_Pandas/README.md)
1. [Getting Started](03_Pandas/01_Getting_Started.md)
2. [Installing Jupyter Notebook and Pandas](03_Pandas/02_Installing_Jupyter_Pandas.md)
3. [Introduction to Jupyter Notebook](03_Pandas/03_Introduction_to_Jupyter_Notebook.md)
4. [Pandas Basics](03_Pandas/04_Pandas_Basics.md)
1. [Series and DataFrame](03_Pandas/04_Pandas_Basics/01_Series_and_DataFrame.md)
2. [Reading Data](03_Pandas/04_Pandas_Basics/02_Reading_Data.md)
3. [Data Inspection](03_Pandas/04_Pandas_Basics/03_Data_Inspection.md)
4. [Data Cleaning](03_Pandas/04_Pandas_Basics/04_Data_Cleaning.md)
5. [Data Manipulation](03_Pandas/04_Pandas_Basics/05_Data_Manipulation.md)
6. [Data Aggregation and Grouping](03_Pandas/04_Pandas_Basics/06_Data_Aggregation_and_Grouping.md)
7. [Data Visualization with Pandas](03_Pandas/04_Pandas_Basics/07_Data_Visualization_with_Pandas.md)
5. [Case Studies and Examples](03_Pandas/05_Case_Studies_and_Examples.md)
6. [Additional Resources](03_Pandas/06_Additional_Resources.md)
4. [Data Visualization](04_Data_Visualization/README.md)
5. [Machine Learning](05_Machine_Learning/README.md)
6. [Deep Learning](06_Deep_Learning/README.md)
Expand Down Expand Up @@ -75,6 +93,11 @@ Each directory contains tutorials and resources relevant to its topic. Below is
- Advanced Charting Techniques
- Conditional Formatting
- Data Validation
- Creating an Invoice
- Case Scenarios
- Budget Tracking
- Sales Reporting
- Inventory Management
3. **Excel Advanced**
- Macros
- VBA Programming
Expand All @@ -101,6 +124,20 @@ Each directory contains tutorials and resources relevant to its topic. Below is
9. Object-Oriented Programming
3. **Pandas**
- Tutorials on using the Pandas library for data manipulation and analysis.
- **Subtopics include:**
1. Getting Started
2. Installing Jupyter Notebook and Pandas
3. Introduction to Jupyter Notebook
4. Pandas Basics
- Series and DataFrame
- Reading Data
- Data Inspection
- Data Cleaning
- Data Manipulation
- Data Aggregation and Grouping
- Data Visualization with Pandas
5. Case Studies and Examples
6. Additional Resources
4. **Data Visualization**
- Techniques for visualizing data using various Python libraries.
5. **Machine Learning**
Expand Down

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