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Vinita Silaparasetty

Welcome to the transformative world of Generative AI for Business Intelligence Analysts. This course will equip you with the knowledge and practical skills to leverage Generative AI (GenAI) in your daily workflows, enhancing your data-driven decision-making abilities. Through interactive discussions, video tutorials, and hands-on activities, you will learn how to streamline data exploration, elevate data visualization techniques, automate routine tasks, and unveil hidden insights within complex datasets.

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Welcome to the transformative world of Generative AI for Business Intelligence Analysts. This course will equip you with the knowledge and practical skills to leverage Generative AI (GenAI) in your daily workflows, enhancing your data-driven decision-making abilities. Through interactive discussions, video tutorials, and hands-on activities, you will learn how to streamline data exploration, elevate data visualization techniques, automate routine tasks, and unveil hidden insights within complex datasets.

This course is ideal for team leaders and managers aiming to leverage GenAI to enhance efficiency and innovation, Business Intelligence Analysts seeking to refine their skills and streamline workflows, and career transitioners aspiring to break into the BI field with advanced, sought-after GenAI knowledge.

Learners should have a basic understanding of data exploration and analysis principles, including familiarity with data types, basic statistics, and data visualization methods. Proficiency in using data manipulation tools like spreadsheets is advantageous.

Upon completion of this course, learners will have the knowledge to unleash the transformative power of GenAI, ushering in a new era of efficiency, productivity and data driven insights in their roles as BI Analysts.

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What's inside

Syllabus

BI Analysts: Unleashing Business Insights with GenAI
This course is designed to empower learners with the necessary knowledge and skills to harness this innovative technology and enhance their data driven decision making abilities. Learners will dive into the world of GenAI, exploring its functionalities and learning practical strategies for seamless integration into their daily workflows.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills relevant in BI field, which may help with career transition
Designed for professionals hoping to enhance efficiency and innovation
Covers advanced sought-after knowledge for BI field
Assumes familiarity with basic statistics and data visualization
May not be suitable for learners with no data exploration experience

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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 Intelligence Analysts with these activities:
Understand foundation of statistics
Reviewing statistics fundamentals will enhance your understanding of data manipulation, visualization, and analysis techniques covered in this course.
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  • Review concepts of mean, median, mode, and standard deviation
  • Practice solving probability and hypothesis testing problems
Join a study group to collaborate on Generative AI projects
Engage in collaborative learning through a study group, sharing knowledge and insights on Generative AI.
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  • Find or create a study group with shared interests.
  • Establish clear goals and expectations for the group.
  • Work together on Generative AI projects, seeking diverse perspectives.
Practice GenAI coding challenges
Sharpen your coding skills and apply GenAI techniques by completing coding challenges on platforms like LeetCode or Kaggle.
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  • Select appropriate coding challenges that focus on GenAI.
  • Attempt to solve the challenges using your knowledge and research skills.
  • Review your solutions and identify areas for improvement.
  • Participate in online discussions or forums to learn from others' approaches.
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Explore GenAI Tools
Completing guided tutorials will provide hands-on experience and in-depth understanding of GenAI tools and their functionalities.
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  • Follow online tutorials on using GenAI platforms like ChatGPT or Jasper
  • Experiment with different GenAI tools to understand their capabilities and limitations
Data Exploration Exercises with Python
Enhance your practical skills in data exploration by practicing with Python coding exercises. This will strengthen your ability to prepare and analyze data effectively.
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  • Install Python and familiarize yourself with its data manipulation libraries.
  • Complete online tutorials or exercises on data exploration techniques using Python.
  • Work through data exploration challenges and debug your code.
Practice Data Manipulation Techniques
Regular practice of data manipulation techniques will solidify your understanding and improve your proficiency in handling complex datasets.
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  • Use data manipulation tools to clean, transform, and analyze datasets
  • Solve data manipulation challenges and exercises
Participate in Peer Review Sessions
Engage with fellow learners in peer review sessions to exchange feedback and perspectives on your GenAI-related work. This will help you identify areas for improvement and strengthen your critical thinking abilities.
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  • Join online or offline study groups or discussion forums.
  • Share your work with peers and actively participate in providing and receiving feedback.
Create a data-driven presentation using Generative AI
Develop and present a compelling data-driven presentation enhanced by Generative AI's insights.
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  • Define the presentation topic and objectives.
  • Harness Generative AI to generate engaging visuals and insights.
  • Craft a compelling narrative and deliver the presentation effectively.
Explore online tutorials for advanced Generative AI techniques
Stay abreast of the latest Generative AI advancements through guided online tutorials.
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  • Identify reputable sources for Generative AI tutorials.
  • Select tutorials that align with your learning objectives.
  • Follow the tutorials diligently, implementing the techniques in your projects.
Develop GenAI-Powered Dashboard
Creating a GenAI-powered dashboard will allow you to apply your knowledge and skills in using GenAI to enhance data-driven decision-making.
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  • Identify key metrics and insights to be displayed on the dashboard
  • Integrate GenAI tools to automate data analysis and visualization
  • Design and develop an interactive and user-friendly dashboard interface
Mentor Junior BI Analysts
Enhance your leadership and communication skills by mentoring junior BI analysts. This will reinforce your understanding of GenAI concepts and allow you to share your knowledge, fostering a supportive learning environment.
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  • Volunteer as a mentor in industry organizations or online communities.
  • Provide guidance and support to junior analysts on GenAI-related topics.
Practice automating data exploration with Generative AI
Practice using Generative AI tools to automate data exploration and extract insights.
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  • Identify a dataset for exploration.
  • Use Generative AI to generate data visualizations.
  • Interpret and draw insights from the visualizations.
Create a GenAI Resource Hub
Organize and share valuable GenAI resources, such as tutorials, tools, and articles, by creating a centralized hub. This will benefit the broader GenAI community and consolidate your knowledge.
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  • Gather a comprehensive collection of relevant GenAI resources.
  • Create a website or online platform to host and organize the resources.
Apply GenAI to Solve Real-World Problems
Volunteering your skills in applying GenAI to real-world problems will provide valuable practical experience and contribute to meaningful outcomes.
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  • Identify organizations working on social or environmental issues
  • Offer your GenAI expertise to analyze data, develop solutions, or create innovative tools
  • Collaborate with team members and stakeholders to drive impact
Develop a GenAI-Based Data Analysis Project
Apply your acquired knowledge and skills by developing a GenAI-based data analysis project. This hands-on experience will challenge you to integrate GenAI techniques into a practical application, solidifying your understanding.
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  • Define a specific business problem or research question that GenAI can address.
  • Gather and prepare the necessary data.
  • Implement GenAI techniques to analyze and extract insights from the data.
  • Present your findings and recommendations in a clear and concise manner.
Contribute to GenAI Open-Source Projects
Deepen your understanding of GenAI by actively participating in open-source projects. This will expose you to real-world challenges and allow you to contribute to the GenAI community.
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  • Identify GenAI open-source projects that align with your interests.
  • Contribute code, documentation, or support to the project.

Career center

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

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