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Home >Courses >Business Intelligence Tools for Researchers: From Data to Insights

12/10/2024

Registration closes 12/10/2024
Mentor Based

Business Intelligence Tools for Researchers: From Data to Insights

Transform Research Data into Insightful Dashboards and Reports with Business Intelligence

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 5 Days
  • Starts: 10 December 2024
  • Time: 5 PM IST

About This Course

Participants will learn the fundamentals of business intelligence and explore popular BI tools such as Tableau, Power BI, and Google Data Studio. Through hands-on practice, they will develop skills in data cleaning, analysis, visualization, and reporting, enabling them to transform raw data into meaningful insights for their research.

Aim

This workshop equips researchers with the skills to leverage business intelligence (BI) tools to analyze, visualize, and interpret data. It is designed to help researchers gain actionable insights from data using leading BI platforms, supporting data-driven decision-making in academic and scientific research.

Workshop Objectives

  • Understand the role of BI in transforming research data into actionable insights.
  • Develop proficiency in key BI tools such as Tableau, Power BI, and Google Data Studio.
  • Learn best practices for data cleaning, analysis, and visualization.
  • Create interactive dashboards and reports to present research findings.
  • Gain hands-on experience in a real-world BI project for research.

Workshop Structure

  • Day 1: Fundamentals of Business Intelligence
  • BI Concepts and Architectures
  • Role of BI in Research and Analytics
  • Data Warehousing and Data Marts
  • Introduction to ETL Processes
  • Day 2: Mastery of BI Tools
  • In-depth with Tableau and Power BI
  • Connecting and Transforming Data Sources
  • Advanced Calculations and Data Modeling
  • Custom Visualizations and Scripting
  • Day 3: Data Analytics and Reporting
  • Building Interactive Dashboards
  • Real-time Data Analysis
  • KPI Development and Monitoring
  • Sharing and Collaboration Features
  • Day 4: Integrating BI with Advanced Analytics
  • Incorporating Predictive Analytics
  • Machine Learning Integration
  • Text and Sentiment Analysis
  • Case Studies in Research BI Applications
  • Day 5: Governance, Security, and Future Trends
  • Data Governance and Compliance
  • Security Best Practices in BI Tools
  • Cloud BI Solutions
  • Emerging Trends in BI (AI and Augmented Analytics)

Who Should Enrol?

  • Academic researchers, data analysts, PhD scholars, and research professionals interested in data-driven insights.

Important Dates

Registration Ends

12/10/2024
IST 1:00 pm

Workshop Dates

12/10/2024 – 12/14/2024
IST 5 PM

Workshop Outcomes

  • Ability to transform raw research data into clear, actionable insights.
  • Proficiency in key BI tools and data visualization best practices.
  • Skills in designing and sharing BI dashboards for research applications.
  • Practical experience in BI-driven research data analysis and reporting.

Meet Your Mentor(s)

Mentor Photo

DR G. RESHMA

Assistant Professor
Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology (PVPSIT), Vijayawada, Andhra Pradesh, India.

Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years . . . of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.

Fee Structure

Student Standard fee

₹1999 | $55

Ph.D. Scholar / Researcher Standard fee

₹2599 | $60

Academician / Faculty Standard fee

₹3599 | $65

Industry Professional Standard fee

₹6499 | $100

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

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Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

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