Data Analysis with PostgreSQL
2h 31mIntermediate2024-08-13
Authors

Adam Wilbert
Data Visualization Expert
Course details
Get up and running with basic data analysis in PostgreSQL. Join instructor Adam Wilbert in this hands-on, interactive course designed for practicing advanced SQL data analysis techniques to boost your technical know-how, prepare for an interview, or land a new role in the field. This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice to advance your coding skills. Adam helps you improve your skills to perform data analysis in a PostgreSQL database. Learn how to clean and organize a dataset, standardize information in the database, and perform a descriptive analysis.
Skills covered
PostgreSQLDatabase DevelopmentDatabase ManagementData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Get hands-on practice analyzing data with PostgreSQL
- 02 - What you should know
- 03 - CoderPad tour
1. Clean and Organize a Dataset
- 04 - Manipulate text strings with functions
- 05 - Solution - Manipulate text strings with functions
- 06 - Select text that matches a pattern
- 07 - Solution - Select text that matches a pattern
- 08 - Calculations with date and time series data
- 09 - Solution - Calculations with date and time series data
- 10 - Classify and bin data with CASE
- 11 - Solution - Classify and bin data with CASE
2. Standardize Information in the Database
- 12 - Round measurements
- 13 - Solution - Round measurements
- 14 - Cast stored values to a different type
- 15 - Solution - Cast stored values to a different type
- 16 - Work with NULL values in a dataset
- 17 - Solution - Work with NULL values in a dataset
3. Perform a Descriptive Analysis
- 18 - Find the central tendency of a dataset
- 19 - Solution - Find the central tendency of a dataset
- 20 - Measure standard deviation variability
- 21 - Solution - Measure standard deviation variability
- 22 - Calculate the percentile rank of a value
- 23 - Solution - Calculate the percentile rank of a value
- 24 - Aggregate values with a window partition
- 25 - Solution - Aggregate values with a window partition
- 26 - Create a moving window frame
- 27 - Solution - Create a moving window frame
Conclusion
- 28 - Next steps
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