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There are 4 modules in this course
In this final course, you'll apply generative AI to scenario planning and root cause analysis. The target learner for this course is a seasoned data professional or an aspiring analyst. This comprehensive program empowers.
Upon completion of this course, you'll be able to:
- Conduct scenario analysis using generative AI models
- Perform root cause analysis with AI assistance
- Identify and assess potential risks using AI-powered techniques
- Develop data-driven strategies based on AI-generated scenario insights
Explore diverse hypothetical scenarios and their potential impacts on data, utilizing generative AI to enhance scenario planning and risk assessment.
What's included
14 videos10 readings4 assignments
Show info about module content
14 videos•Total 67 minutes
The perplexed planner: Navigating uncertainty with scenario analysis•3 minutes
Demystifying scenario analysis: Understanding its role in decision-making•6 minutes
The role of scenario analysis in strategic planning: A deep dive•6 minutes
Predicting the future with data•2 minutes
Predicting future worlds with Generative Models•6 minutes
AI tools for scenario analysis•6 minutes
The human element: Interpreting AI-generated scenarios•5 minutes
Scenario sliders: Exploring the what-ifs•2 minutes
Demo: Fine-tuning AI scenarios with parameter adjustments•6 minutes
What If? The art of tweaking AI Scenarios for maximum insight•6 minutes
The risk navigator: Charting a course through uncertainty•3 minutes
Demo: Interpreting AI scenario outputs: Making sense of the data•5 minutes
Scenario analysis for risk mitigation: Proactive strategies for success•6 minutes
10 readings•Total 100 minutes
Scenario and root cause analysis with generative AI syllabus•10 minutes
GenAI Tools for Data Analysis: A Practical Guide•10 minutes
Scenario analysis fundamentals•10 minutes
Scenario analysis in the age of AI: The impact of generative AI•10 minutes
Generative AI and scenario modeling•10 minutes
Ethical considerations in AI-powered scenario analysis•10 minutes
The importance of data inputs in scenario analysis•10 minutes
Scenario analysis for different time horizons•10 minutes
Quantifying risk in scenario analysis•10 minutes
Scenario analysis and decision trees: Visualizing your choice•10 minutes
4 assignments•Total 75 minutes
Practice Assignment: Scenario analysis•30 minutes
Practice Assignment: Introduction to scenario analysis•15 minutes
Practice Assignment: Generative AI for scenario simulation•15 minutes
Practice Assignment: Adjusting Inputs and Parameters•15 minutes
Root cause analysis
Module 2•4 hours to complete
Module details
Uncover the underlying causes of trends and incidents within data, harnessing generative AI for in-depth analysis and the development of preventative solutions.
What's included
15 videos5 readings5 assignments
Show info about module content
15 videos•Total 78 minutes
The data detective's casebook: Cracking the root cause mystery•2 minutes
The importance of root cause analysis: Going beyond the surface•6 minutes
Unraveling root causes with proven methods•6 minutes
When to use which RCA method: Choosing the right tool for the job•6 minutes
AI's pattern recognition•2 minutes
Generative AI: The data analyst's detective tool•6 minutes
Identifying anomalies and spotting the outliers•6 minutes
Correlation vs. causation: The great data debate•2 minutes
Demo: AI-powered correlation analysis•6 minutes
From patterns to root causes•6 minutes
Navigating the maze of causality in big data•7 minutes
Decoding the matrix: How AI reveals hidden patterns in your data•6 minutes
Generative AI as your problem-solving partner•3 minutes
The art of recommending solutions•6 minutes
Demo: Using AI for solution modeling•6 minutes
5 readings•Total 50 minutes
5 whys, fishbone diagrams, and more: A guide to RCA methodologies•10 minutes
Comprehensive guide to root cause analysis methodologies•10 minutes
Natural language processing for RCA: Unlocking insights from text data•10 minutes
Data correlation vs. causation•10 minutes
Turning insights into action•10 minutes
5 assignments•Total 105 minutes
Graded Assignment: Root cause analysis•30 minutes
Practice Assignment: Root cause analysis methodologies•15 minutes
Practice Assignment: Generative AI in root cause identification•15 minutes
Practice Assignment: Using AI for data pattern analysis•15 minutes
Activity: Root cause analysis with generative AI•30 minutes
Risk identification and management
Module 3•3 hours to complete
Module details
Employ generative AI to identify and assess potential risks in datasets, facilitating the creation of effective risk mitigation strategies.
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What will I get if I subscribe to this Specialization?
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Is financial aid available?
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