Certified AI & Data Analytics Practitioner (C-AIDAP)™
The Certified AI & Data Analytics Practitioner (AIDAP) program is your ultimate gateway to mastering the latest technological advancements in data analytics and artificial intelligence. Designed for ambitious finance professionals, this program offers a unique blend of theoretical insights, practical …
Overview
The Certified AI & Data Analytics Practitioner (AIDAP) program is your ultimate gateway to mastering the latest technological advancements in data analytics and artificial intelligence. Designed for ambitious finance professionals, this program offers a unique blend of theoretical insights, practical applications, and real-world case studies, ensuring you stay ahead in the rapidly evolving financial landscape.
The curriculum covers the full spectrum of data analytics and AI applications in finance. From foundational concepts like financial data analysis and visualization to advanced skills such as programming in Python, R, and SQL, the program ensures you are well-versed in every essential area. You will gain hands-on experience with the most advanced tools, including Power BI, ChatGPT, Copilot, Perplexity, FinGPT, and more.
What truly sets AIDAP apart is its focus on generative AI and its transformative potential in finance. The program dives deep into AI-powered solutions for financial forecasting, risk management, compliance, and advanced analytics, empowering you to deliver innovative insights and strategies in your organization.
By the end of this program, you’ll not only have mastered the latest technologies but also gained the ability to apply them strategically to solve real-world financial challenges.
Curriculum
Curriculum
- 9 Sections
- 28 Lessons
- 66 Hours
- 1. Finance Fundamentals for a Data-Driven EraNavigate the evolving world of finance, leveraging data-driven insights to optimize decision-making and unlock new opportunities.4
- 2. Mastering AI in Excel for Financial AnalysisHarness the power of AI within Excel to streamline financial analysis, enhance accuracy, and drive smarter outcomes with confidence2
- 3. Power BI for Financial Data AnalysisUncover actionable insights using Power BI, transforming complex financial data into clear, strategic visualizations.3
- 4. Financial Reporting and Analysis with Power BIElevate your financial reporting processes through Power BI, ensuring clarity, precision, and strategic alignment in every report.3
- 5. Data Visualization and StorytellingTransform financial data into compelling stories, bridging the gap between raw numbers and impactful business strategies.3
- 6. Programming for Finance - Python, SQL, and RMaster programming languages like Python, SQL, and R to build robust financial models, analyze datasets, and advance your technical expertise.3
- 7. Generative AI and the Future of FinanceDiscover how generative AI is reshaping the financial sector, fostering innovation while maintaining ethical and sustainable practices.3
- 8. Deep Dive into CopilotExplore Copilot's transformative capabilities, empowering financial professionals with intelligent automation and actionable insights.4
- 9. Data Governance and Compliance in AI-Powered FinanceNavigate the challenges of AI-powered finance with robust data governance strategies, ensuring compliance while enabling innovation responsibly.3
Instructor
FAQs
Students List
Features
- ChatGPT
- Google Gemini
- FP&A Automation
- Finance Automation
- Accounting Automation
- AI in Finance
- Agentic AI in Finance
- Perplexity AI
- Microsoft Copilot
- Power BI
- R
- Python
- SQL
- n8n
- Prompt Engineering
Target audiences
- Finance Professionals: Analysts, planners, and strategists eager to integrate advanced data analytics into their workflows.
- Finance Leaders: CFOs, directors, and managers driving digital transformation and innovation in their organizations.
- Data Enthusiasts: Data analysts and BI specialists seeking to expand their expertise with cutting-edge tools and AI applications.
- Tech-Savvy Professionals: Individuals aiming to master tools like Python, R, SQL, Power BI, and advanced AI applications in a financial context
- Ambitious Learners: Anyone looking to future-proof their career at the intersection of finance, technology, and data science.