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5.0 (1,874)·34h 18m · 323 lectures
$3.00$12–$199up to −98%
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Claude AI for Data Analysis & Business Intelligence
Analyze data, build dashboards & automate reports with Claude AI — no coding. From raw CSV to executive insights
5.019 reviews93 learners
- All Levels
- 4h 35m video
- 53 lectures
- English
- Captions
- Updated 2026
Taught by Asim Noaman Lodhi
- 4h 35m of on-demand video
- 53 lectures across 11 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
10 sections53 lectures4h 35m total
- 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
- Build a KPI Dashboard with Claude AI4:27
- Build a Sales Trend Chart with Claude AI2:35
- Category Analysis with Claude AI: Sales vs. Profit3:15
- Data Transformation with Caude AI11:04
- Importing Pandas & NumPy in Jupyter Notebook2:06
- Viewing Data in Pandas: head(), tail() & info()1:09
- How to Select Columns in Pandas1:09
- Descriptive Statistics in Pandas with describe()3:25
- How to Find Unique Values in Pandas3:17
- How to Filter Data in Pandas1:51
- Limiting Rows in Pandas: head(), tail() & sample()1:52
- Pandas Logical Operators: AND, OR & NOT Conditions0:45
- Handling Missing Data in Pandas with fillna()1:28
- Working with Pandas Series in Python (Hands-On)1:38
- How to Create a DataFrame in Pandas3:51
- Inspecting Pandas Data: info(), dtypes & shape6:40
- search records with loc function4:37
- Search records with iloc function2:33
- Exploratory Data Analysis with Pandas library3:43
- Exploratory Data Analysis II4:30
- Dealing with Missing Values3:12
- Data Visualization for Titanic Dataset4:37
- Data Visualization II2:19
- How to Create Count plot1:50
- How to Create Histogram2:38
- How to Create Bar Plot1:57
- How to create Bar Plot Example0:45
- How to Create Scatter Plot1:52
- How to Create Box Plot1:30
- Pandas Library chearsheet7:35
- What is Data Cleaning6:23
- Data Cleaning with Examples1:28
- EDA Analysis with Chat GPT14:24
- Data Analysis with Google Gemini13:19
About this course
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 cours…
Before you start
- 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
Who it’s 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.
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