PyForward: Data Analysis with Python for Finance
What you'll learn
- Python
- Data Analysis
- Computational Analytics
- Pandas
- NumPy
- Python Data Analysis
- Financial Data Analysis
- History of Computer Science
- History of Computational Analytics
- Computer Science
- Computational Analytics
Requirements
- No programming experience. Familiarity with mathematics up to Algebra.
Description
Start Your Journey in Coding and Data Analysis. PyForward will enable you to have more freedom, resilience, and career sustainability in these uncertain economic times. This course will help you write and understand your first lines of code, learn the basics of Python, and complete your first Python data analysis project. Additionally, the course will lay out next steps including finding projects, showing your work, improving your resume, networking, and landing a job.
Python is being integrated in Microsoft Excel, pivotal in AI and Machine Learning, data visualization and tools like Airflow and Knime. Be on the cutting edge--be one of the first in your firm to understand how to use these tools effectively! In Finance, Python is used for process automation, reducing reporting and reconciliation process times, eliminating End User Computing (EUCs) and meeting Regulatory requirements.
FREEDOM - Expand Your Options
Take charge of your career! Choose your own path and work on your own terms whether that is in the office, hybrid, or fully remote. Learning Python will give you the freedom to move up at your firm, transition to a technology career, or switch to a better finance role in another industry.
RESILIENCE - Strength Through Value
Analyzing data with Python is a high-demand skill in finance that will enable you to work faster and more efficiently. Individuals with high-demand skills that generate value to the firm will be the last to fire and the first to rehire.
CAREER SUSTAINABILITY - Lead Your Career
Expand your knowledgebase and gain a skillset that will be useful as we enter the bold world of the generative AI revolution and an explosion in data that needs to be quickly analyzed and understood.
Who this course is for:
- Finance professionals, data analysts, and aspiring software and data engineers.
- Beginner Python developers interested in data science and software engineering
Instructor
- 5.0 Instructor Rating
- 3 Reviews
- 12 Students
- 4 Courses
Keith Alexander Ashe spent his career using data and technology to transform processes and systems. Although he took a couple programming courses in high school and college; he ultimately used weekend projects, self-paced learning, and on-the-job experience to become a full stack software developer. Mr. Ashe previously worked at Booz Allen, Gartner, Citibank, Happy Money, and Rollbar before launching his own consulting firm, Ordinal Prime.
His last project was working as a contractor with the Bill & Melinda Gates Foundation's Institute for Disease Modeling to prepare Starsim for a public beta release. Starsim is an open-source, stochastic disease simulation modeling tool built using Python.
He created the PyForward training series because he wanted to make it easier for others to start coding in Python. He is a graduate of Florida A&M University and Columbia University with a BS and MS in Industrial Engineering, respectively. He also earned a Lean Six Sigma Blackbelt from Villanova University.