Data Analysis with Python for Finance Professionals

PyForward. Python is coming to Excel. Start learning to analyze data using Python. Focus on Finance Professionals.

Ratings: 5.00 / 5.00




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.

What You Will Learn!

  • Python
  • Data Analysis
  • Computational Analytics
  • Pandas
  • NumPy
  • Python Data Analysis
  • Financial Data Analysis

Who Should Attend!

  • Finance professionals, data analysts, and aspiring software and data engineers.
  • Beginner Python developers interested in data science and software engineering