Prompt Engineering for Data Science Training

De opkomst van generatieve AI verandert de manier waarop datawetenschappers en analisten werken. In de Prompt Engineering for Data Science Training leer je hoe je AI-tools zoals ChatGPT en Bard effectief inzet om data te analyseren, manipuleren en visualiseren met behulp van slimme prompts.

Deze bekroonde e-learning biedt je:

• 1 jaar 24/7 toegang tot interactieve videolessen met gesproken uitleg
• Voortgangsbewaking, toetsen per hoofdstuk en directe toepassing
• Hands-on ervaring met prompt engineering in AI-tools

Je ontwikkelt praktische vaardigheden in:

• Data-analyse en datamanipulatie via prompts
• Datavisualisatie met behulp van AI gegenereerde content
• Debuggen, uitleggen en corrigeren van code met prompts
• Werken met ChatGPT (gratis versie) en Bard in realistische scenario's

Wie zou moeten deelnemen?

Deze cursus is ideaal voor:

• Data scientists en data-analisten
• Business intelligence specialisten
• AI-enthousiastelingen en prompt engineers
• Professionals in data-analyse en visualisatie
• Iedereen die AI wil inzetten voor slimmere datagedreven inzichten

Deze LearningKit met meer dan 6:48 leeruren is verdeeld in drie sporen:

Demo Prompt Engineering for Data Science Training

Cursusinhoud

Prompt Engineering for Data: Leveraging Prompts When Working with Data

Course: 1 Hour, 38 Minutes

• Course Overview
• Prompt Engineering for Data Analysis
• Introducing Prompt Engineering
• Getting Set Up for Data Analysis and Visualization
• Creating pandas Series Objects
• Using ChatGPT to Understand Index Labels for pandas Series
• Indexing and Filtering Series Using
• Performing Operations on pandas Series
• Creating pandas DataFrame Objects
• Viewing DataFrame Properties with Generative AI's Help
• Performing DataFrame Indexing Using .locand .iloc
• Course Summary

Prompt Engineering for Data: Basic Data Manipulation Using Generative AI

Course: 1 Hour, 36 Minutes

• Course Overview
• Exploring, Debugging, and Reading CSV Files with Bard
• Reading Data from Multiple Sources
• Writing Data Using Multiple Formats
• Column Dropping and Selection Using Generative AI Tools
• Performing Basic Data Frame Operations
• Using ChatGPT to Iterate over and Sort DataFrames
• Debugging Sorting Issues with Generative AI Help
• Computing New Columns Using Existing Data
• Learning to Use the Apply Function
• Using Chain-of-Thought Prompting for a Sequence of Operations
• Course Summary

Prompt Engineering for Data: Leveraging Prompts for Filtering & Grouping Data

Course: 1 Hour, 49 Minutes

• Course Overview
• Filtering by Column Headers and Row Labels
• Performing Filtering and Querying on Data
• Executing Complex Queries
• Filtering Using Dates and Strings
• Performing Simple Aggregations
• Performing Grouped Aggregations with ChatGPT's Help
• Performing Multi-column Grouping and Split-Apply-Combine
• Using Prompts to Identify and Remove Duplicates
• Cleaning Categorical Data
• Using Prompt Engineering to Deal with Missing Values
• Working with Pivots and Pivot Tables
• Reshaping and Aggregating Data Using Pivot Tables
• Course Summary

Prompt Engineering for Data: Combining & Visualizing Data Using Generative AI

Course: 1 Hour, 45 Minutes

• Course Overview
• Combining DataFrames
• Using Debugging and Explanation Prompts to Combine Data
• Merging Data Using Inner Joins
• Exploring Other Join Types with Google Bard's Help
• Merging on Multiple Columns and Validating Relationships
• Visualizing Time Series Data
• Grouping and Aggregating Time Series Data with Generative AI
• Exploring Univariate Visualizations with Prompt Engineering
• Using ChatGPT's Recommendations for Bivariate Visualizations
  Creating Interactive Time Series Visualizations with Plotly
• Creating Interactive Scatter Plots and seaborn Heatmaps
• Course Summary

Assessment:

• Final Exam: Prompt Engineering for Data Science

Start vandaag nog met de Prompt Engineering for Data Science Training
✔️ Leer werken met prompts voor AI-gedreven data-analyse
✔️ Ontvang een certificaat en praktijkgerichte feedback
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