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

Prompt engineering, data science    |    Intermediate
  • 13 videos | 1h 44m 38s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Combining data is a key data manipulation technique and is well supported in the pandas library. Exploratory data analysis involves data visualization to understand the relationships that exist in your data. Prompt engineering can help you pick the right visualization for viewing and understanding relationships between variables and can also generate code for these visuals. You will start this course by combining data in DataFrames learning techniques to join DataFrames using different constructs such as the inner join, left and right joins, and the full outer join. Next, you will delve into time-series analysis and visualization. You will use prompt engineering help to visualize your time series data to identify trends and patterns. Finally, you will explore data visualization in Python. You will begin by crafting univariate visualizations that display information about a single variable. You'll see that tools such as ChatGPT and Bard can help you pick the right visualizations for different use cases. You will explore bivariate visuals and use Plotly to generate interactive visualizations which are more user-friendly and intuitive.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Combine dataframes with vertical stacking
    Debug issues related to pd.concat
    Perform inner joins
    Explore other types of joins
    Perform a join on multiple columns
    Visualize time series data
  • Group and aggregate time series data
    Visualize univariate data
    Explore bivariate visualizations
    Create interactive time series visuals with plotly
    Create interactive scatter charts and heatmaps
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 5s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m 10s
    During this video, you will learn how to combine DataFrames with vertical stacking. FREE ACCESS
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    3.  Using Debugging and Explanation Prompts to Combine Data
    6m 15s
    In this video, find out how to debug issues related to pd.concat. FREE ACCESS
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    4.  Merging Data Using Inner Joins
    10m 37s
    Discover how to perform inner joins. FREE ACCESS
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    5.  Exploring Other Join Types with Google Bard's Help
    9m 24s
    In this video, we will explore other types of joins. FREE ACCESS
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    6.  Merging on Multiple Columns and Validating Relationships
    7m 28s
    In this video, learn how to perform a join on multiple columns. FREE ACCESS
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    7.  Visualizing Time Series Data
    9m 13s
    In this video, discover how to visualize time series data. FREE ACCESS
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    8.  Grouping and Aggregating Time Series Data with Generative AI
    11m 12s
    Find out how to group and aggregate time series data. FREE ACCESS
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    9.  Exploring Univariate Visualizations with Prompt Engineering
    12m 27s
    During this video, you will learn how to visualize univariate data. FREE ACCESS
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    10.  Using ChatGPT's Recommendations for Bivariate Visualizations
    7m 31s
    In this video, we will explore bivariate visualizations. FREE ACCESS
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    11.  Creating Interactive Time Series Visualizations with Plotly
    9m 9s
    Discover how to create interactive time series visuals with plotly. FREE ACCESS
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    12.  Creating Interactive Scatter Plots and seaborn Heatmaps
    8m
    In this video, find out how to create interactive scatter charts and heatmaps. FREE ACCESS
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    13.  Course Summary
    3m 6s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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