- SQL-for-Data-Analytics VS python-tutorials
- SQL-for-Data-Analytics VS NBA-attendance-prediction
- SQL-for-Data-Analytics VS DataScience-Scripts
- SQL-for-Data-Analytics VS facet
- SQL-for-Data-Analytics VS geospatialdatascience
- SQL-for-Data-Analytics VS geospatial-data-catalogs
- SQL-for-Data-Analytics VS facet
- SQL-for-Data-Analytics VS data-analytics-project-template
- SQL-for-Data-Analytics VS Basketball_Analytics
- SQL-for-Data-Analytics VS walkable
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python-tutorials
Python tutorials in markdown format. These tutorials look at installation on Python and Python IDEs, object orientated programming, the object orientated design pattern known as the Python data model, the concept of inheritance and how the data model is extended for text, numeric and collection based builtins classes and the numeric Python stack.
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Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
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geospatial-data-catalogs
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facet
Rust reflection, serialization, deserialization, pretty printing, etc. — the last proc macro you should need
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data-analytics-project-template
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walkable
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SQL-for-Data-Analytics discussion
SQL-for-Data-Analytics reviews and mentions
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Resources for D205 before it changes to Performance Assessment
WGU Library: use it to read SQL for Data Analytics. You're better off skimming the book since the lessons on uCertify just copy the book (but missing some parts). Clone the repo and do all the activities.
Stats
TrainingByPackt/SQL-for-Data-Analytics is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of SQL-for-Data-Analytics is Jupyter Notebook.