Data Analytics with Python
Field: Data Analytics | Delivery Method: Self Study | CPE Hours: 20.0
Description
Dive into the exciting world of data analytics using Python! Our course is designed specifically for internal auditors intent on boosting their data analysis skills. Learn how to install and set up Python, a leading programming language in analytics, in a user-friendly and engaging manner.
No prior programming experience? No problem!
This course is designed to take you from novice to intermediate. You'll feel comfortable creating new Python environments, and running a server from your computer. We will equip you with the skills to tackle wrangling data in Python with confidence.
So why wait? Register now and take your first step into the realm of Python for data analytics.
Need more reasons?
* Python is a general purpose language that can be used for data analytics, data science, and beyond
* Learning to code adds more value to your brand than any proprietary software
* Your next employer may not use the proprietary analytics platform you’re currently using
* Leaving audit? The proprietary audit software isn't used outside of internal audit
* Sharing ACL scripts with your stakeholders doesn't get you very far
* Train your brain to think programmatically
* Build a Python capable team around you
* Learn with an accountability partner and / or a coworker
* Separate yourself from the pack
* Prove to yourself that you can do it
After completing this course, you will be able to:
- Install and set up Miniconda on a Windows system
- Create Python environments
- Manage Conda packages
- Understand the basics of Python programming including variables, data types, functions, and file operations
- Prompt Generative Artificial Intelligence (GenAI) to write Python code and troubleshoot errors
- Transition smoothly from Excel to Python
CPE Hours: 20.0
Assurance of Learning: Optionally - submit a final project (Worth an additional 5.0 CPE)
Field of Study: Data Analytics
Prerequisites: Basic knowledge of the Windows Operating System and using data in Microsoft Excel.
Who Should Attend: This course is designed for internal auditors at all levels seeking fluency to read and write Python for Data Analysis.
Advanced Preparation: Must have a Windows computer with the ability to install new programs. Note: Windows Administrator access is not required.
Program Level: Basic
Delivery Method: Self Study
Format: Mixed Media - Audio, Text, Video
Your Instructor
Jamie Ontiveros is an experienced professional who specializes in audit, data analytics, operations, risk management, and product development. He has a background in Lean methodologies and is skilled in driving efficiency and innovation while identifying areas for improvement.
With expertise in risk management, Jamie has led teams in each every line from the “three lines of defense" model. Jamie's career spans across various industries, including internal audit positions at Amazon and Comcast.
With expertise in data analytics and engineering, Jamie delivers data-driven insights and implements continuous monitoring processes for his employers and clients. Jamie’s proactive problem-solving approach improves compliance while driving insights.
Jamie holds advanced degrees in Software Design & Programming and Business Administration, along with several certifications in auditing, risk management, and process improvement. He is the founder of Audit Ri.sk Media LLC, and also the co-Founder of cRisk Academy. His dedication to continuous improvement and knowledge sharing makes him a unique author in our community. Connect with Jamie on LinkedIn.