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Introduction to AI-Powered BI Tools

This course provides an in-depth exploration of the innovative landscape of AI-enhanced Business Intelligence (BI) tools.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

– This course provides an in-depth exploration of the innovative landscape of AI-enhanced Business Intelligence (BI) tools, highlighting the integration of artificial intelligence (AI) and machine learning (ML) into conventional BI systems to streamline insights, bolster decision-making, and optimize business operations.
– Participants will delve into the transformative impact of AI on data analytics, focusing on key areas such as predictive and prescriptive analytics, anomaly detection, and natural language processing (NLP).
– The curriculum includes hands-on experience with leading BI tools, including Power BI, Tableau, and Google Data Studio, allowing learners to apply AI techniques in real-world scenarios.
– Emphasis will be placed on understanding how these advanced technologies can automate data interpretation and enhance the overall efficiency of business processes.
– By the end of the course, participants will be equipped with the knowledge and skills necessary to leverage AI-driven insights for strategic decision-making in their organizations.

CERTIFICATION:

  1. Upon completion, participants will receive a Certificate in AI-Powered Business Intelligence Tools, demonstrating their ability to leverage AI technologies within BI tools for smarter, data-driven decision-making.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

– Comprehend the significance of artificial intelligence and machine learning within the realm of Business Intelligence (BI) and their impact on data analysis and decision-making processes.
– Acquire knowledge of the key AI-enhanced functionalities available in leading BI platforms, including Power BI and Tableau, to leverage their full potential.
– Gain expertise in the application of AI-driven analytics, such as developing predictive models and conducting anomaly detection, to extract valuable insights from data.
– Explore the role of natural language processing (NLP) in improving user interaction with data in BI, enabling more intuitive and efficient data exploration.
– Develop the ability to create and analyze AI-generated reports and dashboards, thereby supporting informed, data-driven business decisions and strategies to boost performance and profitability.

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Course Curriculum

Introduction to AI and BI
  • Overview of AI and Machine Learning in BI
  • Key differences between traditional BI and AI-powered BI
  • The benefits of integrating AI into BI workflows
  • Real-world examples of AI use cases in BI tool
Key AI Features in BI Tools
  1. AI capabilities in Power BI, Tableau, and Google Data Studio
  2. Overview of machine learning, automation, and AI integration
  3. The role of AI in data visualization and predictive analytics
  4. Hands-on: Exploring AI-powered features in popular BI tools
Predictive Analytics with AI in BI
  1. Introduction to predictive modeling and forecasting
  2. Using AI to predict trends, sales, and customer behavior
  3. Hands-on: Creating a predictive model in Power BI or Tableau
  4. Case study: Business applications of predictive analytics in BI
Anomaly Detection and Insights Generation
  1. How AI detects anomalies and outliers in data
  2. Using AI to identify performance issues, risks, and opportunities
  3. Hands-on: Setting up anomaly detection in Tableau or Power BI
  4. Real-world case study: Improving business processes with anomaly detection
Natural Language Processing (NLP) in BI
  1. Understanding how NLP is integrated into BI tools
  2. Using AI for conversational BI: Natural language queries and reports
  3. How NLP simplifies data analysis for non-technical users
  4. Hands-on: Using NLP features in BI tools to interact with data
AI-Driven Decision-Making and Reporting
  1. How AI in BI supports strategic decision-making
  2. Using AI-generated insights for business growth and operational improvements
  3. Integrating AI-driven recommendations into business workflows
  4. Hands-on: Developing AI-driven reports and dashboards for decision-makers
Ethical Considerations and Challenges in AI-powered BI
  1. Addressing biases in AI models and ensuring fair decision-making
  2. Data privacy and security concerns in AI-powered BI applications
  3. Managing transparency and accountability in AI-based insights
  4. Best practices for responsible AI use in BI
  5.  

Training Features

Video Tutorials

In-depth guides on using AI features in BI tools like Power BI and Tableau.

Interactive Exercises

Hands-on practice with AI-powered functionalities in BI software.

Real-World Case Studies

Examples of businesses successfully integrating AI with BI for improved results.

Live Q&A Sessions

Weekly interactions with AI and BI experts for support and insights.

Capstone Project

A comprehensive project applying AI in a real-world BI scenario.

Certification

A globally recognized certificate upon completing the course.

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