Prompt Engineering for Data Science Training

The Prompt Engineering for Data Science Training focuses on harnessing the power of generative AI in everyday data analysis practices. You will learn how to craft smart and targeted prompts to leverage AI tools such as ChatGPT and Bard for data analysis, transformation, and visualization.

Key topics include:

• Introduction to generative AI and the role of prompt engineering
• Crafting effective prompts for data analysis and reporting
• Using AI tools (ChatGPT, Bard, and other LLMs) for data cleaning and transformation
• Automating statistical analysis with prompts
• Data visualization with AI-driven techniques
• Combining prompts with Python, SQL, and BI tools
• Best practices for accuracy, transparency, and reproducibility
• Ethical and practical considerations of AI in data science
• Real-world cases and hands-on exercises

By the end of this training, you will have the practical skills to apply generative AI effectively and responsibly in your work as a data analyst or data scientist.

This LearningKit with more than 6:48 hours of learning is divided into three tracks:

Demo Prompt Engineering for Data Science Training

Course content

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

Join the Prompt Engineering for Data Science Training today
✔️ Master AI prompt techniques for data workflows
✔️ Certificate of completion and real-world project skills
Start now and level up your data science with generative AI!