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AI for Data Analysis for Beginners: ChatGPT, Excel, SQL

Learn AI-powered data analysis using ChatGPT, Excel, SQL, dashboards, automation & business analytics workflows

  1. Topics
  2. Business
  3. ChatGPT & Generative AI

AI for Data Analysis for Beginners: ChatGPT, Excel, SQL

InstructorData Science Academy
Duration6h 40m
Students1,497
Rating4.1 (6)

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Coupon history

Comidoc has tracked 18 coupons for this course since 2026, last checked 47m ago. On average, a new coupon appears roughly every 9 days.

Coupon codeDiscountAddedStatusLifetime
PACKTFREE100% offOct 9, 202609:31 PM UTCExpired22d 18h
OCTFREE02100% offOct 2, 202610:44 PM UTCExpired29d 17h
OCTFREE01100% offOct 2, 202606:47 PM UTCExpired~30 daysRan full term
SEPTFREE02100% offSep 2, 202603:33 AM UTCExpired30d 12h
SEPTFREE01100% offSep 2, 202603:29 AM UTCExpired30d 13h
SEPTFREE03100% offSep 2, 202603:15 AM UTCExpired~31 daysRan full term
Sponsored
Price
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$14.99
Coupon
100/100 uses left
Last checked 47m ago
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Comidoc Analysis

AI-Integrated Data Analysis Fundamentals

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Strengths

AI-Centric Workflows

Lessons integrate ChatGPT for prompt engineering, SQL assistance, and dashboard insights.

Diverse Tool Progression

The sequence moves from spreadsheet fundamentals through database querying to visualization and machine learning.

Limitations

Lack of Applied Practice

The curriculum consists of video lectures without explicit projects, labs, or coding exercises.

Best suited to

  • Beginners seeking an overview of AI-driven analytics
  • Business professionals wanting to understand modern BI tools

Less suited to

  • Learners requiring hands-on coding practice
  • Those seeking deep technical mastery of SQL or Machine Learning

Comidoc Score

5.9/10

Worth considering
Beginner-friendly

Comidoc verdict

Lessons progress from an introduction to modern data analysis through Excel, SQL, and Power BI, eventually touching on machine learning integration.

The primary strength lies in the conceptual integration of AI tools like ChatGPT into standard business intelligence workflows. This provides a high-level view of how generative AI can assist with prompt engineering and automated insights. However, the absence of hands-on exercises or practical assignments means learners must find their own ways to apply these skills.

This course is best suited for complete beginners or business professionals who want a conceptual understanding of how AI-powered analytics tools function within a modern professional environment.

Score breakdown

Curriculum depth
8.0

The curriculum covers multiple distinct areas including spreadsheets, databases, and machine learning.

Applied learning
2.8

The course lacks explicit projects, quizzes, or hands-on coding exercises.

Clarity & experience
5.8

A single signal suggests the content provides insightful context regarding human and AI collaboration.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns with the stated goal of teaching beginners Excel, SQL, and Power BI.