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Claude AI for Data Analysis & Business Intelligence
Rating: 5.0 out of 5(18 ratings)
60 students

Claude AI for Data Analysis & Business Intelligence

Analyze data, build dashboards & automate reports with Claude AI — no coding. From raw CSV to executive insights
Last updated 6/2026
English

What you'll learn

  • Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
  • Data Visualization with Python
  • Create, save and serialise data frames in and out of multiple formats.
  • Detect and intelligently fill missing values.
  • Merge data sources into a beautiful whole.
  • Seamlessly work with data from different time zones.
  • Learn the common pitfalls and traps that ensnare beginners and how to avoid them.

Course content

9 sections50 lectures4h 13m total length
  • Introduction3:50
  • Sign Up for Claude AI: Choosing the Right Plan5:40
  • Where to Find Free Sample Datasets for Practice (Kaggle)9:02
  • Data Profiling with Claude AI: Check Your Data First5:34
  • Find Duplicate Records in Your Data with Claude AI6:13
  • Data Cleaning with Claude AI: Fix Messy Data Fast7:47
  • Introduction to Data Analysis with Python & Pandas0:46
  • Real-World Business Problems Solved with Pandas0:52
  • Introduction to Pandas: Python's Data Analysis Tool1:22
  • How to Install Python & Jupyter Notebook for Pandas4:38

Requirements

  • No coding, statistics, or prior data experience required
  • A Claude account (the course shows you how to choose a plan)
  • A spreadsheet program for some exercises
  • A willingness to follow along with the hands-on labs — that's where the learning happens

Description

Most data analysis courses teach you a tool. This one teaches you a workflow — the exact, repeatable process of turning a messy spreadsheet into decisions a CEO can act on, using Claude AI as your analyst.

By the end, you won't just "know about AI." You'll have personally taken a real, public sales dataset of over 10,000 rows from raw download to a cleaned file, a KPI dashboard, and a one-page executive summary — without writing a single line of code.

This is a do-it-alongside course, not a watch-and-forget course.

Every lesson follows the same proven rhythm: you see the exact prompt to type, you watch Claude produce the real output, and you learn the business decision that output unlocks. You download the same dataset used in the lectures, so every number you produce matches what you see on screen.

What makes this course different

There are plenty of courses on ChatGPT for data, and plenty on Power BI. There are almost none that teach Claude AI specifically for business intelligence — even though Claude is exceptional at exactly this kind of work: reading files, cleaning data, building interactive dashboards, working inside Excel, and writing analysis a manager will actually read.

Instead of toy examples, you'll work the full case study end to end on the famous "Sample Superstore" retail dataset (free and public). Along the way you'll uncover the kind of insights that change how a business operates:

  • A pricing leak where discounts above 20% quietly destroy profit

  • An entire product line sold at a loss that category-level reports were hiding

  • A seasonal pattern showing half the year's revenue lands in just four months

You'll learn to find these in any dataset — including your own company's.

The 10-step workflow you'll master

  • Get and profile your data — spot duplicates, missing values, and trust problems before you analyze anything

  • Clean data the right way — fix duplicates, blanks, and inconsistent labels, and quarantine bad rows instead of silently deleting them

  • Compute the KPIs that matter — revenue, profit, margin, average order value, and loss-making segments

  • Find trends and seasonality — answer "why did sales spike?" and know when to stock up

  • Analyze by category and segment — see where revenue is high but profit is weak

  • Drill down to root causes — go from a vague problem to the exact products and regions responsible

  • Surface the killer insight — the discount, product, or customer pattern quietly costing the business money

  • Write executive summaries — turn numbers into recommendations a decision-maker can approve

  • Build interactive dashboards — KPI cards, trend lines, filters, and drill-downs Claude builds for you

  • Automate the whole thing — set up a monthly reporting pipeline so a full day of analysis runs in minutes

You'll also learn

  • How to use Claude inside Excel for formulas, forecasts, and budget-vs-actuals variance analysis

  • How to research competitors and build market intelligence briefs

  • How to connect Claude to live data sources (Google Drive, Sheets, email) safely, with the right permissions and governance

  • A reusable prompting framework you can apply to any business question

Who this course is for

  • Business analysts and aspiring data analysts who want to work faster and smarter

  • Managers, founders, and team leads who need answers from data but don't have a data team

  • Marketing, finance, and operations professionals who live in spreadsheets

  • Anyone curious about AI who wants a practical, job-ready skill rather than theory

Requirements

  • No coding, statistics, or prior data experience required

  • A Claude account (the course shows you how to choose a plan)

  • A spreadsheet program for some exercises

  • A willingness to follow along with the hands-on labs — that's where the learning happens

What you'll walk away with

Three capstone tracks (sales, finance, or marketing) let you build a portfolio-ready project on data that matters to you. By the final lesson you'll have a complete, automated business intelligence workflow you can put to work immediately — and the confidence to point Claude at any dataset and come back with answers.

Enroll now and turn raw data into decisions.

"What you'll learn" bullets (the 4-line box at the top of the page)

  • Take a real dataset from raw file to cleaned data, dashboard, and executive summary using Claude AI

  • Clean, analyze, and visualize business data without writing any code

  • Build interactive dashboards and automated monthly reporting pipelines

  • Find profit leaks, trends, and root-cause insights in any sales dataset


Who this course is for:

  • Python students that want to learn how to manipulate data professionally. Aspiring data analysts and scientists looking to upgrade their skillset. People who would prefer to spend more time solving interesting problems than formatting data. Old hands at programming that want to see what new methods and industry-leading tools are at their fingertips in the new decade.