Building Data Analyst AI Agent || Skool.Mahasun

Course Details

Agent Systems & Applications
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Building Data Analyst AI Agent

By Srimugunthan Dhandapani,
24/Mar/2025
0 Students

Course Description

Building a Data Analyst AI Agent

Building a Data Analyst AI Agent involves creating an intelligent system capable of performing key tasks traditionally done by data analysts, such as analyzing data, generating insights, running queries, visualizing trends, and producing reports. This AI agent leverages machine learning models, data processing pipelines, and automation tools to streamline the data analysis workflow.

Why Build a Data Analyst AI Agent?

Automating Repetitive Tasks: A Data Analyst AI Agent can automate routine tasks like data cleaning, basic statistical analysis, and report generation, freeing up time for more advanced and creative work.
Scalability: It can handle large datasets and provide real-time insights, which is challenging for human analysts.
Consistency: The agent ensures that the same analytical techniques are applied consistently across datasets, removing the possibility of human error.
Insight Generation: Beyond basic analysis, the AI can spot trends, generate predictive models, and suggest new avenues for exploration that a human might not immediately notice.

Course Curriculum

Building Data Analyst AI Agent
0h 39m

Srimugunthan Dhandapani,

Technical Lead - Data science, AI & analytics at WellsFargo

Srimugunthan brings over 12 years of experience in data analytics, specializing in prediction models, recommender systems, and more. With a background in computer science and an Executive MBA in product management, he's well-equipped to guide us through the complexities of bias in ML models.