Excel Automation for Accountants Using Python

Course Description

Embark on a transformative 25-day journey to master Python for Excel automation. Over this condensed timeframe, immerse yourself in the essentials of Python programming tailored specifically for accountants.In the initial phase, devote time to mastering Python basics, including syntax, variables, and control flow. Then, swiftly transition to applying Python skills to Excel automation tasks using the OpenPyXL library.Throughout the course, engage in hands-on exercises and practical projects designed to reinforce learning and application. By the end of the journey, you’ll possess the proficiency to automate routine Excel tasks efficiently, enabling you to streamline workflows and optimize productivity in just 25 days.

Python Basics

• Basic syntax, variables, and data types
• Operators and expressions
• Control flow: if statements, loops, and control structures
• Functions and modules
• Working with Data in Python

Data structures

• lists, tuples, dictionaries
• NumPy for numerical computing
• Pandas for data manipulation
• Data visualization with Matplotlib and Seaborn

Excel Automation with Python and OpenPyXL

• Excel automation and its benefits
• Installing Python, OpenPyXL, and other required libraries
• Basic operations with OpenPyXL: opening, reading, and saving Excel files
• Reading and writing data to Excel files
• Manipulating Excel sheets: adding/deleting rows and columns, merging cells, setting styles

Statistical Analysis with Statsmodels

• Introduction to statistical analysis with Statsmodels
• Exploratory data analysis (EDA) using Statsmodels
• Linear regression analysis
• Logistic regression analysis
• Time series analysis
• Hypothesis testing and confidence intervals

Advanced Data Visualization with Seaborn

• Introduction to Seaborn for advanced data visualization
• Creating complex plots and charts using Seaborn
• Visualizing relationships between multiple variables
• Customizing plots with Seaborn styles and themes
• Incorporating Seaborn with Matplotlib for enhanced visualization

Handling Excel Warnings and Errors

• Debugging techniques for Excel automation scripts
• Error handling strategies in Python for Excel-related tasks
• Best practices for robust Excel automation with Python and OpenPyXL

Project Work and Case Studies

• Applying learned concepts to real-world scenarios in accounting, finance, or data analysis