No-Code Data Analytics with Generative AI

Description:

In the era of artificial intelligence, data analytics is no longer limited to programmers and data scientists. Generative AI empowers professionals to extract insights from data, visualize trends, and make data-driven decisions—without writing a single line of code.

This hands-on course introduces participants to AI-driven no-code analytics tools, including ChatGPT. Attendees will learn how to clean, analyze, and visualize data efficiently, leveraging AI to automate workflows and uncover actionable insights.

By the end of the course, participants will be proficient in using AI-powered no-code tools for data exploration, business intelligence, and predictive analytics.

Duration: 1 Day

Course Code: BDT470

Learning Objectives:

After completing this course, participants will be able to:

• Understand the role of AI in modern data analytics.
• Use generative AI for data interpretation, analysis, and insights generation.
• Leverage AI-powered automation tools for data cleaning and transformation.
• Identify trends and patterns in data without coding.
• Apply AI-powered data analytics in decision-making processes.

• Basic understanding of data concepts

• Gen AI enthusiast

Course Outline:

Introduction to No-Code AI for Data Analytics

• The evolution of data analytics and AI’s role
• Understanding no-code vs. traditional analytics
• Overview of AI-powered no-code tools

Data Preparation and Cleaning with AI

• Using AI to clean and structure data
• Automated data formatting and transformation
• Hands-on: Cleaning datasets with AI

Data Analysis and Insights Generation

• Exploring datasets using AI-powered no-code tools
• Identifying key trends and anomalies
• Hands-on: Generating AI-assisted insights with ChatGPT

Visual Analytics with No-Code AI

• Building interactive visualizations
• Customizing visualizations and reports
• Hands-on: Generating and refining creative visualizations

Predictive Analytics with No-Code AI

• Introduction to AI-driven forecasting
• Making data-driven predictions without coding
• Hands-on: Predictive modeling with no-code AI

Real-World Applications and Best Practices

• Case studies: AI-powered data analytics in business
• Ethical considerations in AI-driven decision-making
• Hands-on: Applying AI-powered data analytics to a real-world dataset

Training material provided: Yes (Digital format)