Reading Data

سرفصل های دوره

In this course, you'll learn how to read data from various sources, like surveys, sensors, and machines, and how to use Python tools to clean, aggregate, and visualize it. You'll also explore the value of data for different use cases and industries.

1. Course Overview

1. Course Overview

2. Identify and Determine Data Types

1. Quantitative Data Types

2. Demo - Quantitative Data Types with Pandas

3. Categorical Data Types

4. Demo - Categorical Data Types with Pandas

5. Other Data Formats

6. Demo - Reading Other Data Formats

7. Exercise and Solution - Matching Data Types

3. Identify Data Sources

1. Compare and Contrast Data Sources

2. Types of Data Sources

3. Deep Dive - How to Collect Survey Data

4. Demo - How to Collect Survey Data

5. Deep Dive - Other Common Data Sources

6. Demo - Other Common Data Sources

7. Summary

04. Define, Apply, and Visualize Aggregations

01. Applying Aggregations for Data Analysis

02. Basic Aggregations

03. Demo - Basic Aggregations - Part 1

04. Demo - Basic Aggregations - Part 2

05. SQL Commands for Data Analysis

06. Demo - SQL Commands for Data Analysis - Part 1

07. Demo - SQL Commands for Data Analysis - Part 2

08. Visualize Aggregations

09. Demo - Visualize Aggregations

10. Summary

5. Craft Compelling Visuals and Insights from Data

1. Why Do We Visualize Data

2. Determining the Right Visual

3. Interpreting Charts

4. Creating Charts

5. Demo - Creating Charts

6. Summary

6. Conclusion

1. Conclusion

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تولید کننده: PluralSight