Online Course
Intro to Claude Code for Data Analysis

Learn how to use Claude Code for data analysis, automation, and app development. Build data pipelines, data models, dashboards, web scrapers, reports, and web apps—all with the help of agentic AI

4.9

870 reviews on
10 students already enrolled
  • Institute of Analytics
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

2 hours
  • Lessons (2 hours)

CPE credits:

2
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

  • Data analysts who want to automate analysis and reporting with Claude Code
  • Aspiring data scientists and data engineers exploring agentic AI workflows
  • Developers looking to accelerate coding, debugging, and app development
  • Entrepreneurs who want to create data tools and web applications faster
  • AI enthusiasts interested in practical Claude Code applications

Topics & tools

Artificial IntelligenceClaudeClaude CodeAITheory

Your instructor

Course OVERVIEW

Description

CPE Credits: 2 Field of Study: Information Technology
Delivery Method: QAS Self Study

Master Claude Code for data analysis, automation, and AI-powered development. This hands-on course introduces you to agentic AI and shows you how to use Claude Code to analyze data, write and debug code, automate workflows, and transform raw datasets into valuable business insights.

You’ll learn how to install and configure Claude Code on Windows and macOS, build data engineering pipelines, analyze financial performance, create live dashboards, develop predictive models, assess business risk, and scrape data from the web. You’ll also use Claude Code Desktop to clean datasets, turn CSV files into professional PDF reports, and build functional web applications with minimal coding.

Designed for data analysts, aspiring data scientists, finance professionals, business analysts, and AI enthusiasts, this course focuses on practical, real-world projects. By the end, you’ll understand how to use Claude Code as an AI coding agent for data analysis, data engineering, financial modeling, web scraping, reporting, and application development—even without advanced programming experience.

Prerequisites

  • No prerequisites

Curriculum

21 lessons 13 exercises 1 exam
  • 1. From Chatbots to Claude Code
    14 min
    14 min
    From Chatbots to Agents Free
    The Terminal Revolution Free
    Your AI Senior Developer Free
    Claude’s Architecture Free
    Exercise Free
  • 2. Claude Code Setup
    20 min
    20 min
    Claude Code Windows Installation Free
    Claude Code API Setup Free
    Installing Claude Code on Mac Free
    Exercise Free
  • 3. Agentic Data Engineering
    11 min
    11 min
    Agentic Data Engineering
    Building a Data Pipeline
    Exercise
  • 4. Data Analysis with Claude Code
    26 min
    26 min
    The Executive Audit
    The AI Burn Rate
    The Live Wealth Dashboard
    Exercise
    Predictive Analytics
    The Quant Upgrade
    The Risk Auditor
    Exercise
  • 5. Web Scraping
    9 min
    9 min
    Web Scraper Architecture
    Scraper Logic and Debugging
    Exercise
  • 6. Claude Code Desktop
    14 min
    14 min
    Claude Code Desktop
    Cleaning Data
    CSV to PDF Report
    Building Web Apps with Claude Code
    Exercise
  • 7. Course exam
    30 min
    30 min
    Course exam

Free lessons

From Chatbots to Agents

1.1 From Chatbots to Agents

5 min

The Terminal Revolution

1.2 The Terminal Revolution

2 min

Your AI Senior Developer

1.3 Your AI Senior Developer

5 min

Claude’s Architecture

1.4 Claude’s Architecture

2 min

Claude Code Windows Installation

2.1 Claude Code Windows Installation

6 min

Claude Code API Setup

2.2 Claude Code API Setup

5 min

Start for free

4.9

Based on 870 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

$29,000

average salary increase

after moving to an AI and data science career

94%

of AI and data science graduates

successfully change

or advance their careers.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice exams

Track your progress and solidify your knowledge with regular practice exams.

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AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.