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GenAI for Business Analysts

Faster Insights

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

GenAI for Business Analysts: Faster Insights
This course introduces business analysts to the transformative capabilities of Generative AI (GenAI), offering practical strategies to enhance efficiency and productivity in various tasks. Through discussions, demonstrations, and hands-on activities, participants will learn how to integrate GenAI into business processes and decision-making.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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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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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  • 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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  • 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.
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  • 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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  • 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.
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  • 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.
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  • 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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  • 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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  • 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.
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  • 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.
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  • 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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  • 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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  • 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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  • 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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  • 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:

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