AI for Data Analysis (No Coding)

Learn how to do powerful data analysis without coding using AI to explore, visualize, and interpret business data directly in Excel, Sheets, or BI tools.
June 24, 2026
01:00 PM - 02:30 PM (Eastern Time)
Duration: 1 Day
Hours: 1 Hour 30 Minutes
Training Level: All Levels
Virtual Class Id: 55253
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded
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Description:

AI for Data Analysis (No Coding) is designed to help professionals, students, and business users unlock the power of data without needing programming skills. Traditionally, data analysis required knowledge of tools like Python or SQL, but modern AI platforms now allow users to upload datasets, ask questions in plain language, and instantly generate insights, charts, and reports. This makes data-driven decision-making more accessible than ever before.

In this topic, learners will explore how to clean, organize, and analyze data using intuitive AI tools and interfaces. They will learn to identify trends, detect anomalies, and generate visualizations with simple prompts. AI can also help summarize findings, create dashboards, and provide recommendations based on patterns in the data.

By removing technical barriers, this approach empowers users from non-technical backgrounds to confidently work with data and extract meaningful insights. Whether for business reporting, marketing analysis, finance, or operations, AI-driven no-code analysis enables faster, smarter decisions and improves overall productivity in a data-centric world.

Course Objectives:

  • Understand the fundamentals of data analysis and its role in decision-making.
  • Explain how AI enables data analysis without the need for programming skills.
  • Import, clean, and organize datasets using no-code AI tools.
  • Use natural language prompts to explore data and generate insights.
  • Create charts, graphs, and dashboards automatically with AI assistance.
  • Identify trends, patterns, and anomalies in data using AI-powered analysis.
  • Generate summaries and reports based on data insights.
  • Apply AI tools to real-world use cases such as business, marketing, finance, and operations.
  • Evaluate data quality and ensure accuracy in AI-generated outputs.
  • Combine human judgment with AI insights to make informed, data-driven decisions.

Who is the Target Audience?

  • Business professionals
  • Analysts

Basic Knowledge:

  • Basic spreadsheet knowledge

Curriculum
Total Duration: 1 Hour 30 Minutes
Data Cleaning
Insight Generation
Visualization Basics
AI-Driven Analysis