GenAI for Financial Data Analysis
Learn to harness Generative AI for financial data analysis. Extract actionable insights, automate workflows, and build custom AI tools using ChatGPT, Microsoft Co-Pilot, Huggingface, and more while applying ethical best practices.
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Course Overview
In my experience working with the hospitality industry, we leveraged AI tools to create valuable insights that transformed how we understood marketing effectiveness, revenue segmentation, and pricing strategies.
By using AI-driven data analysis and visualization tools, we streamlined the process and gained a competitive edge in decision-making. This firsthand experience showcased how powerful AI can be when applied to real-world financial data.
This course is designed to take learners with a basic understanding of financial data and AI concepts to the next level, focusing on practical applications of Generative AI (GEN AI) in financial data analysis. You’ll dive deep into specific use cases, learning how to use AI tools to extract actionable insights from financial data. We’ll demonstrate AI tools in action, showing how to optimize financial strategies through data analysis, all while highlighting the best practices to maximize GEN AI’s potential in finance.
One of the unique aspects of this course is its focus on hands-on learning. Not only will you explore the use of AI tools, but you’ll also get an overview of building custom AI tools using open-source models, ensuring you can apply what you learn directly to real-world scenarios.
We will explore Ai tools like Microsoft Co-Pilot, Chat GPT, Datarobot, Chartpixel and Huggingface to create custom tools.
Skills You Will Gain
Course Includes
- 1 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
Learning Outcomes (At the end of this program, you will be able to...)
- Apply GEN AI techniques to solve specific financial data analysis problems.
- Implement AI tools and models tailored to various financial use cases.
- Navigate challenges and optimize AI applications in finance, including using open-source models to build custom AI solutions.
- Apply best practices to ensure ethical, efficient, and effective AI deployment in financial contexts.
Prerequisites
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Basic understanding of financial analysis and AI/machine learning concepts.
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Familiarity with data handling and statistical methods.
Who Should Attend
Financial analysts, data scientists, and finance professionals with fundamental knowledge of financial data analysis and AI concepts. Ideal for those looking to apply GEN AI to real-world financial problems.
Curriculum
Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.
Meet Your Expert Instructors
Manish Gupta
VIEW MY CHANNELFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.
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