Video course · 15 chapters · 216 min · certificate
ChatGPT for Data Analytics: Full Course - from Beginners to Professional
Luke Barousse's ChatGPT for data analytics: setup and prompting, Advanced Data Analysis, connecting and cleaning data, visualisations and best practices, descriptive to prescriptive analytics, hallucinations, custom instructions, GPTs, browsing, plugins like Wolfram, DALL-E, public datasets and web scraping.
What you'll learn
- Set up ChatGPT for analytics
- Use Advanced Data Analysis to clean, visualise and predict
- Apply visualisation best practices
- Run descriptive to prescriptive analyses
- Manage hallucinations and use GPTs
- Source data via public datasets and scraping
Chapters
15 chapters · 215:30-
11:56
01Intro Members
Intro, options and setup
Save 20 hours a week.
-
18:05
02Basics Members
Prompting, settings, images and ADA timeouts
Maximise capabilities.
-
15:53
03ADA Members
ADA intro, data sources and exploration
With vs without.
-
13:37
04Clean Members
Cleaning, visualising and predicting
Data workflow.
-
17:05
05Limits Members
Limitations, security and core visualisation
No internet in ADA.
-
10:39
06Stats Members
Statistical visualisations
Distributions.
-
11:22
07Best practices Members
Visualisation best practices
Better charts.
-
20:36
08Descriptive Members
Data types and descriptive analysis
Salary data.
-
13:51
09Analytics Members
Diagnostic, predictive, prescriptive
Why, what next, what to do.
-
12:53
10Hallucinations Members
Hallucinations
Hot topic.
-
13:13
11Prompts Members
Prompting best practices and custom instructions
Better results.
-
19:28
12GPTs Members
GPTs and browsing
Custom bots.
-
9:42
13Plugins Members
Time-saver plugins and Wolfram
Save time.
-
12:50
14Data sources Members
DALL-E and public datasets
Images and data.
-
14:20
15Scraping Members
Web scraping and wrap-up
Get data.
Jobs this course suits
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