AI For Data Analytics

AI for Data Analytics Course – AI-Powered Data Analysis & Business Intelligence

Learn how to analyse data, automate reporting, and generate business insights using artificial intelligence. This hands-on course covers AI-powered data analytics, business intelligence, predictive analytics, dashboards, and modern AI tools to help you make smarter, data-driven decisions.

What You’ll Learn

By the end of this course, you will be able to:

• Understand the role of AI in modern data analytics.
• Clean, prepare, and transform datasets using AI-assisted workflows.
• Perform AI-powered exploratory data analysis (EDA).
• Create professional dashboards and visual reports.
• Apply predictive analytics for business forecasting.
• Understand machine learning concepts for business analytics.
• Automate reporting and repetitive analytics tasks using AI.
• Use AI assistants to analyse structured and unstructured data.
• Build business intelligence solutions using modern AI tools.
• Complete real-world analytics projects suitable for your professional portfolio.

Course Features

• Instructor-Led Live Interactive Training
• Real Business Case Studies
• Hands-on AI Analytics Projects
• Interactive Dashboards
• AI Productivity Workflows
• Portfolio Development
• Career Guidance for Data Professionals
• Resume & LinkedIn Optimization
• Certificate of Completion
• Updated Curriculum Aligned with the 2026 Data Analytics Industry

Course Requirements

• Basic Excel or spreadsheet knowledge is recommended.
• No programming experience required.
• No advanced mathematics required.
• Laptop or desktop computer.
• Stable Internet connection.
• Interest in Data Analytics and Business Intelligence.

Tools & Technologies

Students will gain practical experience using modern AI-powered analytics platforms, including:

• Microsoft Power BI
• Power BI Copilot
• Microsoft Fabric (Overview)
• ChatGPT Advanced Data Analysis
• Microsoft Copilot
• Google Gemini
• Tableau Pulse
• Excel with AI Features
• NotebookLM
• AutoML Platforms (Concepts)
• Power Query
• DAX Fundamentals
• SQL with AI Assistance (Introduction)

Who Is This Course For?

This course is ideal for:

• Data Analysts
• Business Analysts
• Financial Analysts
• Marketing Analysts
• Power BI Users
• Excel Professionals
• Students
• Business Professionals
• Managers
• Anyone interested in AI-powered Data Analytics

Career Opportunities

After completing this course, learners can pursue roles such as the following:

• Data Analyst
• Business Intelligence Analyst
• AI Data Analyst
• Business Analyst
• Reporting Analyst
• Data Visualization Specialist
• Decision Support Analyst
• Power BI Analyst
• Analytics Consultant
• Junior Data Scientist (Foundation Level)

Industries

• Banking & Financial Services
• Retail & E-commerce
• Healthcare
• Telecommunications
• Logistics & Supply Chain
• Manufacturing
• Marketing & Advertising
• Government
• Technology Companies

Certifications Preparation

This course provides a practical foundation that supports preparation for modern data analytics and business intelligence certifications, including:

• Microsoft Power BI Data Analyst Associate (PL-300)
• Microsoft Fabric Analytics Engineer (DP-600 – Foundation Knowledge)
• Google Advanced Data Analytics Professional Certificate
• Microsoft Applied Skills – Power BI Learning Paths
• AWS Certified AI Practitioner (Foundation Knowledge)

Note: This course develops practical AI-powered data analytics skills but does not include official certification exam vouchers.

 FAQs

Do I need Python or R programming?

No. The course focuses on AI-powered, low-code and no-code analytics tools, making it suitable for beginners and business professionals.

What projects will I build?

You’ll complete real-world projects, including sales dashboards, customer churn prediction, financial reporting, marketing analytics, and executive business intelligence dashboards.

Which AI tools are included?

You’ll gain hands-on experience with Power BI, Power BI Copilot, ChatGPT Advanced Data Analysis, Microsoft Copilot, Google Gemini, Tableau Pulse, NotebookLM, Power Query, and other modern AI analytics tools.

Will I receive a certificate?

Yes. Learners who successfully complete the course and practical projects receive a Sigma Hub Academy Certificate of Completion.