Python Bootcamp for Finance and Accounting
Step into the world of Python, the leading programming language for data analytics and automation. This bootcamp is tailored for finance and accounting professionals, whether you're completely new to coding or seeking to expand your technical skill set.
Course Description
Our Python Bootcamp is geared toward Accounting and Finance professionals. This course will introduce you to the basics of Python where you will learn how to apply some of its powerful data manipulation, analysis, and automation capabilities. This course has everything you need to get started!
Python is one of the fastest growing tools in accounting and finance. In this course, you’ll first learn the very introductory basics like what is Python, how do you install it on your computer and how Python works with data analysis and manipulation tools.
At completion you will know how you can use Python to import/export data, automate tasks, and do different types of analysis.
In this course, you'll learn...
Course Objectives
Python programming fundamentals, including setup and using Jupyter Notebooks.
How to import, manipulate, and export data using Python libraries like Pandas and NumPy.
Techniques for automating repetitive tasks, such as processing large datasets and consolidating Excel files.
Performing basic to intermediate analytics and generating actionable insights.
Building scalable tools for finance and accounting, such as predictive models and data aggregation scripts.
Real-world use cases and applications tailored specifically to accounting and finance professionals.
How you'll apply these skills...
Automate time-consuming processes like data imports, cleaning, and reporting to increase efficiency.
Analyze financial and accounting data to uncover trends and provide actionable insights.
Build tools for cash flow predictions, reconciliation, and data validation tasks.
Save hours of manual work by automating recurring tasks across multiple data sources.
Transition into more tech-forward finance roles, positioning yourself as a versatile and indispensable team member.
Stay competitive in an evolving industry where programming and analytics are becoming essential skills.
Course Content
Additional Info
Format
5-20 min. videos, 2 quizzes, and a final assessment
Field of study
Computer Software & App
CPE Credits
CPEs 3.0
Prerequisites
You should have an intermediate knowledge of Statistics (e.g. Tabular Data, Summary Statistics, Sata Summaries, Regressions, etc.) If you aren’t comfortable with data and statistics we recommend first taking Intro to Data Analytics and/or Stats for Data Analytics courses.