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  1. Courses
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  3. GenAI for Business Intelligence Analysts

GenAI for Business Intelligence Analysts

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.

Vinita Silaparasetty
Vinita Silaparasetty
Business | core | 1 hour 10 minutes |   Published: Jul 2024
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
96.3%RECOMMEND*

This course includes:

  • 70 minutes of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Welcome to  GenAI Academy's course on Generative AI for Business Intelligence Analysts! The field of data analysis is experiencing a significant transformation due to the rise of Generative Artificial Intelligence (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. Through a combination of interactive discussions, video tutorials, and hands-on activities, learners will develop a comprehensive understanding of how GenAI can streamline data exploration, elevate data visualization techniques, automate routine tasks and unveil hidden insights within complex datasets.  The course also addresses the ethical considerations surrounding GenAI in BI, highlighting the possible risks and obstacles, providing participants with guidelines for responsible implementation. 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.  This course is designed for budding analysts who aim to future proof their skills and experienced BI professionals looking to stay ahead of the game. 

Skills You Will Gain

Automation
Business Intelligence
Data Analysis
Data Visualization
Generative AI

Learning Outcomes (At the end of this program you will be able to)

  • Clarify the concept of GenAI and its key functions in the context of business intelligence. 
  • Exploring best practices for integrating GenAI solutions into your own BI team. 
  • Data Protection and Security; Emphasize the significance of safeguarding data privacy and security in GenAI powered BI endeavors. Examine recommended practices for securing sensitive information and upholding responsible data management throughout the integration of GenAI. 

Prerequisites

Understanding of data exploration and analysis principles, problem-solving abilities, critical thinking skills, and experience with data visualization tools.

 

 

Who Should Attend

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.

Curriculum

Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: GenAI for Business Intelligence Analysts

Segment 01 - Introduction to GenAI for Business Intelligence Analysts

Segment 02 - Glossary for GenAI and Business Intelligence Analyst

Segment 03 - History & Background For GenAI and Business Intelligence Analysts

Segment 04 - Demo for Analysis of Competitor Data Using Claude 2

Segment 05 - Demo for Ad-hoc Reporting with GPT- 4o

Segment 06 - Demo for Pattern Recognition with Claude.ai

Segment 07 - Remediating Risks and Ethical Concerns

Segment 08 - Demo for Market Trend Identification with Claude 2

Segment 09 - Demo for Report Summarization with Gemini

Segment 10 - Practice Project for Business Intelligence Analysts

Segment 11 - Closing Thoughts: What’s Next

Vinita Silaparasetty

Vinita Silaparasetty

I am a seasoned data science professional with a rich background in leveraging advanced technologies to uncover insights and drive innovation. My journey in the field has been marked by a deep expertise in Python, R, and Julia, specializing in Generative AI, Machine Learning, and Deep Learning. I take pride in translating complex data and algorithms into actionable insights, making sophisticated tools and methodologies accessible to learners and practitioners alike. My extensive experience includes creating and delivering engaging course content on TensorFlow, Keras, and other key technologies, helping individuals and organizations harness the power of data to solve real-world problems. In my role as an educator, I have authored and instructed numerous data science courses, focusing on a range of topics from computer vision and natural language processing to cloud computing and data visualization. I am committed to providing practical, hands-on learning experiences that empower students to apply their knowledge effectively. My teaching philosophy centers around making advanced data science concepts understandable and applicable, ensuring that learners not only grasp the theoretical aspects but also gain the practical skills necessary for success in the field. With a proven track record of creating impactful learning materials and providing personalized mentorship, I aim to inspire and equip the next generation of data scientists. My courses and training sessions are designed to address diverse learning needs, from foundational principles to advanced techniques, ensuring that every participant can advance their skills and achieve their career goals. Whether it’s through interactive tutorials, in-depth project work, or tailored coaching, I strive to foster a learning environment where knowledge and innovation thrive.
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