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Christopher Klaus

This course is designed to introduce business analysts to the transformative capabilities of Generative Artificial Intelligence (GenAI). Learners will explore practical strategies to leverage GenAI in various business analysis tasks, enhancing efficiency and productivity. Through a combination of discussions, demonstrations, and hands-on activities, participants will gain a deep understanding of how GenAI can be integrated into business processes and decision-making.

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This course is designed to introduce business analysts to the transformative capabilities of Generative Artificial Intelligence (GenAI). Learners will explore practical strategies to leverage GenAI in various business analysis tasks, enhancing efficiency and productivity. Through a combination of discussions, demonstrations, and hands-on activities, participants will gain a deep understanding of how GenAI can be integrated into business processes and decision-making.

This course is tailored for business analysis managers, team leads, and business analysts who are keen to identify GenAI opportunities and guide their teams toward more efficient, innovative practices. Aspiring business analysts looking to future-proof their skills and gain a competitive edge by mastering the integration of GenAI in business analytics will also find this course valuable.

Participants should be familiar with fundamental business analysis concepts and workflows, including business process modeling and requirements gathering, data handling with SQL, and analytics development with tools such as Tableau. An open mindset towards new technologies and a willingness to experiment and learn how GenAI can enhance business analytics workflows is essential.

Whether you're an experienced business analyst looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency, productivity, and creativity in your work.

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What's inside

Syllabus

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Taught by Christopher Klaus, who is recognized for their work in generative AI
Sharpens these professional skills: Business Process Modeling, SQL, and Tableau
Develops skills and knowledge that are useful for personal growth and development
Builds a strong foundation for beginners in GenAI for Business Analysis
Explores generative AI, which is standard in the business analytics industry
May require SQL and Tableau software, which may incur costs

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Reviews summary

Genai for business analysts: practical insights

According to the course design and stated objectives, learners can expect this course to be a highly practical introduction to leveraging Generative AI for business analysis. It's designed to provide faster insights and enhance efficiency and productivity in daily tasks. The curriculum emphasizes hands-on activities and demonstrations, aiming to future-proof skills and equip business analysts to apply GenAI directly in their workflows. It assumes familiarity with core BA concepts, SQL, and Tableau.
Provides a strong foundational understanding of GenAI.
"This course serves as a comprehensive introduction to GenAI's capabilities for business analysts."
"I expect it will cover the core aspects of integrating GenAI without going into excessive technical depth."
"It's well-suited for professionals looking for a strong foundation in GenAI applications."
Requires foundational BA, SQL, and Tableau knowledge.
"Familiarity with fundamental business analysis concepts, SQL, and Tableau is definitely a prerequisite."
"The course builds on existing knowledge of business process modeling and data handling."
"It's important to have an open mindset towards new technologies and be willing to experiment."
Helps professionals stay competitive in evolving tech.
"Taking this course feels like a necessary step to future-proof my skills in the AI era."
"It's essential for anyone looking to gain a competitive edge by mastering GenAI in analytics."
"I feel better equipped to handle new technologies in my professional role."
Emphasizes real-world integration and hands-on learning.
"The practical strategies for integrating GenAI into business processes are very valuable."
"I appreciated the blend of demonstrations and hands-on activities."
"It helped me understand how to apply GenAI immediately in a practical setting."
Course is highly relevant and applicable to BA roles.
"This course truly aligns with what a business analyst needs for GenAI."
"I found the content directly applicable to my tasks as a business analyst."
"It clearly outlines how GenAI can streamline business analysis workflows."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in GenAI for Business Analysts: Faster Insights with these activities:
SQL Practice
Refreshes your understanding of SQL, making it easier to follow along with the course material.
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  • Review SQL syntax and commands
  • Practice writing SQL queries to extract data
  • Complete online SQL tutorials or exercises
Refresher: Data Handling
Refresh the fundamentals of data handling, such as data manipulation, structuring, and querying techniques, to enhance proficiency for this course.
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  • Review basic SQL commands for data querying and manipulation
  • Practice data cleaning and transformation techniques
Review basic statistics and probability concepts
Refreshes your understanding of the foundational statistical concepts covered in this course, such as mean, median, standard deviation, and probability distributions.
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  • Review lecture notes or textbooks on basic statistics
  • Solve practice problems to reinforce your understanding
  • Take online quizzes or assessments to test your knowledge
22 other activities
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Review SQL Fundamentals
Solidify your SQL foundation to ensure a solid understanding of data handling concepts.
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  • Review basic SQL commands
  • Practice writing SQL queries
  • Work through example SQL exercises
Review SQL
Reinforce existing SQL knowledge to better prepare for the course's emphasis on data handling.
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Show steps
  • Review basic SQL syntax and commands.
  • Practice writing queries to retrieve and filter data.
  • Create and modify tables and indexes.
Form a study group to discuss GenAI concepts and applications
Encourages collaborative learning and knowledge sharing, deepening your understanding of complex GenAI concepts and their applications.
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Show steps
  • Identify fellow learners or colleagues interested in forming a study group
  • Establish regular meeting times and locations
  • Choose topics for discussion and prepare materials
  • Facilitate group discussions and share insights
Participate in Online Study Groups
Enhance understanding and critical thinking through discussions and collaboration with peers.
Show steps
  • Collaborate on projects and assignments.
  • Join or create study groups on platforms such as Discord or Slack.
  • Participate in discussions, ask questions, and share insights.
Guided Tutorials: Generative AI Applications
Explore tutorials that demonstrate the practical applications of Generative AI in various industries and domains, fostering a deeper understanding of its potential.
Show steps
  • Identify relevant tutorials on Generative AI applications
  • Follow tutorials to learn specific use cases and implementation techniques
  • Experiment with provided code examples and datasets
Practice data cleaning and manipulation skills
Strengthens your ability to prepare and transform data for analysis, enhancing your proficiency in extracting meaningful insights.
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  • Use Python or R to clean and manipulate datasets
  • Handle missing values, outliers, and data inconsistencies
  • Practice data transformation techniques such as normalization and binning
Complete Python Coding Exercises
Strengthen Python programming skills by solving coding problems related to business analytics.
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  • Identify and install Python libraries and tools.
  • Solve coding exercises on platforms like LeetCode or HackerRank.
  • Build small Python scripts for data manipulation and analysis.
GenAI Prompt Engineering Drills
Develop proficiency in crafting effective GenAI prompts to enhance the quality of your outputs.
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Show steps
  • Complete online GenAI prompt engineering exercises
  • Practice writing prompts for various GenAI tasks
  • Analyze successful GenAI prompts and identify best practices
Practice Drills: AI-Powered Tools
Engage in coding and problem-solving exercises using AI-powered tools, reinforcing the practical aspects of Generative AI integration.
Show steps
  • Identify platforms or online resources offering AI-powered tools
  • Solve coding challenges and complete hands-on exercises
Attend industry conferences or meetups on GenAI
Connects you with professionals in the field, providing opportunities to learn about industry trends, share knowledge, and expand your network.
Browse courses on Generative AI
Show steps
  • Research upcoming industry conferences or meetups focused on GenAI
  • Register and attend the events
  • Engage with speakers, attendees, and potential collaborators
Explore Tableau's Data Analytics Features
Gain practical experience with Tableau to enhance data visualization and analysis skills.
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Show steps
  • Access Tableau's online tutorials and documentation.
  • Complete guided exercises to create interactive dashboards and visualizations.
  • Experiment with different data sources and chart types.
GenAI-Powered Business Case Analysis
Apply GenAI to solve real-world business problems, demonstrating its practical value and enhancing your analytical skills.
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Show steps
  • Identify a business problem that can be addressed with GenAI
  • Gather and analyze data relevant to the problem
  • Develop and implement a GenAI-based solution
Peer-Led Discussions: Business Case Studies
Join or lead discussions with peers, analyzing real-world business case studies where Generative AI was successfully implemented, providing insights into practical applications.
Show steps
  • Identify relevant case studies and prepare discussion points
  • Facilitate or participate in peer discussions, sharing perspectives and experiences
Explore advanced GenAI techniques using online tutorials
Keeps you abreast of the latest advancements in GenAI by providing hands-on experience with cutting-edge techniques and applications.
Browse courses on Generative AI
Show steps
  • Identify reputable online platforms offering GenAI tutorials
  • Select tutorials aligned with your learning goals
  • Follow the tutorials and complete the accompanying exercises
  • Experiment with different GenAI models and algorithms
Collaborative GenAI Project Discussions
Engage with peers to discuss and refine GenAI project ideas, fostering innovation and knowledge sharing.
Show steps
  • Form a study group or join an online community
  • Share GenAI project ideas and provide feedback
  • Collaborate on refining project plans and methodologies
Develop a case study or project showcasing your GenAI analysis skills
Provides you with a platform to apply your GenAI knowledge to real-world scenarios, demonstrating your proficiency and enhancing your portfolio.
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Show steps
  • Identify a business problem or opportunity suitable for GenAI analysis
  • Gather and preprocess relevant data
  • Apply GenAI techniques to analyze the data and generate insights
  • Develop a case study or project report documenting your findings and recommendations
Attend a Data Analytics Hackathon
Challenge oneself and expand knowledge by participating in a data analytics hackathon.
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Show steps
  • Research upcoming data analytics hackathons.
  • Form a team or join an existing one.
  • Brainstorm and develop a solution within the hackathon time frame.
Project: AI-Powered Solution Proposal
Develop a comprehensive proposal outlining an AI-powered solution to a business problem, showcasing the integration of Generative AI capabilities in real-world scenarios.
Show steps
  • Identify and define a specific business problem
  • Research and explore potential AI-powered solutions
  • Design and develop a detailed solution proposal
  • Present the proposal to stakeholders or peers
Develop a GenAI Use Case Proposal
Apply course concepts by proposing a specific use case for GenAI in a business setting.
Show steps
  • Research GenAI's capabilities and potential applications.
  • Identify a business problem or opportunity.
  • Develop a detailed proposal outlining the GenAI solution.
Advanced GenAI Techniques Workshops
Enhance your understanding of advanced GenAI techniques through structured workshops, expanding your capabilities.
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Show steps
  • Identify workshops aligned with your interests and skill level
  • Attend workshops led by industry experts
  • Complete hands-on exercises and projects
GenAI Hackathon Participation
Engage in a GenAI hackathon to test your skills, collaborate with others, and contribute to innovative GenAI applications.
Show steps
  • Find a GenAI hackathon that aligns with your interests
  • Form a team or join an existing one
  • Develop and implement a GenAI-based solution within the time limit
Contribute to GenAI Open-Source Projects
Make meaningful contributions to the GenAI community by collaborating on open-source projects, deepening your understanding and gaining practical experience.
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Show steps
  • Identify open-source GenAI projects that align with your skills
  • Review project documentation and codebase
  • Propose and implement enhancements or bug fixes

Career center

Learners who complete GenAI for Business Analysts: Faster Insights will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GenAI for Business Analysts: Faster Insights.
As a comprehensive reference, this book covers the full spectrum of generative AI, from foundational concepts to advanced techniques and applications, providing a deep understanding of the field.
Focuses on the techniques of requirements elicitation. It provides practical guidance on how to interview stakeholders, analyze their needs, and document the requirements in a clear and concise way. The book valuable resource for anyone who needs to gather requirements for software projects.
Classic work on the economics of efficiency. Pigou, a leading economist, analyzes the factors that determine economic efficiency and how it can be improved.
Provides a practical guide to agile requirements. It covers topics such as agile requirements gathering, analysis, and management. The book valuable resource for anyone who wants to use agile methods to gather and manage software requirements.
Written by one of the pioneers of GANs, this book introduces the fundamental concepts and techniques of generative adversarial networks, with a focus on practical applications.
This classic collection of essays foundational text in the study of judgment and decision-making, outlining key heuristics and biases that affect human judgment. It is essential reading for graduate students and researchers in psychology, economics, and behavioral science.
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This contemporary book explores the concept of 'noise' – unwanted variability in judgments – and its detrimental effects on decision-making in various professional fields. It's essential for graduate students and professionals seeking to deepen their understanding of judgment and improve decision quality.
Essential for anyone looking to deepen their understanding of SQL performance and optimization. explains how databases execute queries and provides insights into writing efficient SQL code. It's highly recommended for developers and database administrators aiming to improve application performance.
Authored by a Nobel laureate, this seminal work introduces the concept of bounded rationality, arguing that individuals make decisions based on simplified models of the world due to cognitive limitations. It cornerstone text for advanced students and researchers in economics, psychology, and artificial intelligence.
Drawing on the world of poker, this book teaches readers how to make better decisions in uncertain environments by thinking in terms of probabilities and outcomes. It's highly relevant for understanding decision-making under uncertainty and is valuable for students and professionals in fields with inherent risk.
Based on a large-scale forecasting tournament, this book identifies the traits and techniques of highly accurate forecasters. It's relevant for anyone interested in improving their predictive abilities and making better decisions in uncertain environments, particularly valuable for professionals.
Provides a comprehensive overview of business analysis and valuation, with a focus on the role of the Business Analyst. It covers all aspects of business analysis and valuation, from financial analysis to business planning and forecasting.
Explores the systematic ways in which people defy rational economic predictions, offering numerous examples of irrational behavior in decision-making. It's excellent for gaining a broad understanding of behavioral economics and its impact on choices. It serves as valuable additional reading to complement theoretical concepts.
Provides a practical guide to requirements elicitation. It covers topics such as interview techniques, stakeholder analysis, and requirements documentation. The book valuable resource for anyone who needs to gather requirements for software projects.
Provides a comprehensive overview of requirements engineering, covering topics such as elicitation, analysis, specification, and management. It also includes case studies and exercises to help readers apply the concepts they learn.
Introduces a simple and effective technique for capturing and managing software requirements. User stories are a great way to express the needs of stakeholders in a clear and concise way. The book valuable resource for anyone who wants to use user stories in their software development projects.
Provides a practical guide to user story mapping. User story mapping popular technique for gathering and managing software requirements. The book valuable resource for anyone who wants to learn more about user story mapping.
Dives into common mistakes and suboptimal solutions in database design and SQL coding, explaining how to identify and correct them. It's crucial for deepening understanding and writing more robust and maintainable SQL. It's a valuable resource for developers and database professionals seeking to improve their practices.
Argues that an excessive number of choices can lead to decreased satisfaction, anxiety, and decision paralysis. It's highly relevant for understanding the psychological impact of choice on well-being and valuable read for all audiences.
Examines the impact of rare and unpredictable events (black swans) on decision-making and the limitations of relying on normal distributions. It's highly relevant for understanding risk and uncertainty in complex systems and is valuable for advanced students and professionals.
Focuses on using SQL specifically for data analysis, covering techniques beyond basic querying to transform and gain insights from data. It's suitable for those who have a foundational understanding of SQL and want to apply it in a data analysis context. It's relevant for data scientists and analysts.
While focused on MySQL, this book provides in-depth coverage of database and SQL performance tuning that is applicable to other systems. It's essential for those working with large datasets and high-traffic applications. It's a comprehensive guide for optimizing SQL queries and database infrastructure.
Offers a structured and systematic approach to decision-making, outlining a process for identifying objectives, alternatives, and consequences. It's a practical guide suitable for a broad audience, from high school to professionals, looking to improve their decision-making skills.
Tailored for aspiring data scientists, this book focuses on the SQL skills needed for data analysis, including dataset construction and manipulation. It bridges the gap between basic SQL and its application in data science workflows. Relevant for those entering or working in the data science field.
Introduces the Naturalistic Decision Making (NDM) framework, focusing on how experienced individuals make decisions in complex, real-world settings. It offers a different perspective than traditional rational choice theory and is valuable for those interested in decision-making in high-stakes environments.
While focused on T-SQL (for Microsoft SQL Server), this book provides a deep and rigorous understanding of SQL fundamentals that are applicable to many dialects. It's highly regarded for its clear explanations and challenging examples, making it excellent for solidifying core concepts. It's often used by professionals working with SQL Server.
Offers an approachable and practical introduction to SQL, particularly for those interested in data analysis and storytelling. It uses PostgreSQL for examples but the concepts are widely applicable. It's great for beginners and those who want to apply SQL skills to real-world data tasks.
Provides a hands-on approach to learning and practicing SQL through a variety of problems. It's an excellent supplement to theoretical learning and helps solidify understanding through practical application. Suitable for all levels looking to improve their problem-solving skills with SQL.
This academic book explores the concept of bounded rationality and the use of heuristics in decision-making, offering an alternative perspective to purely rational models. It is more suitable for graduate-level students and researchers interested in the theoretical underpinnings of decision processes.
Outlines the principles the author developed and used to achieve success in life and business, including his approach to decision-making. It provides a framework for developing personal and organizational decision-making processes and is particularly relevant for professionals and those in leadership roles.
A practical guide to data visualization using Tableau, emphasizing the principles and best practices of effective data storytelling.
While not solely focused on personal decision-making, this book classic in understanding the factors that influence our decisions and compliance. It's highly relevant for understanding external factors that impact choices and is valuable for students and professionals in marketing, sales, and psychology.
Explores the relationship between innovation and efficiency. Jorgenson, a prominent economist, offers evidence that innovation can lead to significant improvements in productivity and economic growth.
Provides a comprehensive overview of the Unified Process for requirements analysis and design. The Unified Process popular software development process that is used by many organizations around the world. The book valuable resource for anyone who wants to learn more about the Unified Process.
Provides a practical guide to use-case driven requirements engineering. Use-case driven requirements engineering popular approach to requirements engineering that is used by many organizations around the world. The book valuable resource for anyone who wants to learn more about use-case driven requirements engineering.
Provides a historical perspective on the understanding and management of risk, a critical element in decision-making under uncertainty. It's valuable for gaining a deeper appreciation of the evolution of decision theory and is particularly relevant for students of finance, economics, and history.
Offers practical tips and techniques for writing more effective and efficient SQL code. It's a great resource for improving coding style and avoiding common pitfalls. Suitable for those with some SQL experience looking to refine their skills.
A deep dive into how the SQL Server Query Optimizer works, which is essential for advanced performance tuning. is highly technical and geared towards those who need to understand the low-level details of query execution. It's valuable for database administrators and senior developers.
A practical guide to using Tableau effectively, covering best practices, performance optimization, and data storytelling.
Focuses on the technical aspects of BPM, discussing workflow modeling languages, execution engines, and performance analysis techniques.
Covers Lean Six Sigma methodologies, which combine BPM and quality improvement principles to enhance process efficiency and effectiveness.

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