Data Frames | Statistics for Data Analysis.
Essential Statistical Concepts for Data Analysis series is a statistics-for-data-analysis roadmap tutorials for beginners. It highlights some of the fundamental statistical concepts for data analysis, preparing them for data analysis projects and statistics for data science.
► Find the Notebook used here:
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🔗Get the code used here:
Understanding `DataFrames`
🔗Ask a question here : https://github.com/everndah/Statistic...
🔗Course Materials [Work In Progress] : https://everndah.github.io/the-data-a...
► Other Tutorials Mentioned
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[How to Download Datasets]( • How to DOWNLOAD KAGGLE Datasets Tutorial )
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► Reference and Further Reading:
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🔗 Embeddings for Tabular Data: A Survey by Rajat Singh and Srikanta Bedathur.
🔗 Practical Statistics for Data Scientists by Peter Bruce, Andrew Bruce, and Peter Gedeck.
🔗 Pandas Documentation.
🔗 Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney.
🔗 Think Stats Exploratory Data Analysis in Python by Allen B. Downey and Green Tea Press.
► Essential Statistics For Data Analysis Tutorials
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Part I: [ESSENTIAL STATISTICAL Concepts for DATA ANALYSIS]( • ESSENTIAL STATISTICAL Concepts for DA... )
Part II: [Structured and Unstructured Data]( • Structured and Unstructured Data || S... )
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