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1. github.com › MiesnerJacob › statistics-with-python-michigan-universityMiesnerJacob/statistics-with-python-michigan-university

   github.com › MiesnerJacob › statistics-with-python-michigan-university

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   A 3 course series offered by Michigan University which covers statistics and applying it through code. This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language.

2. github.com › Aniket-Mishra › Statistics_with_Python_SpecializationAniket-Mishra/Statistics_with_Python_Specialization

   github.com › Aniket-Mishra › Statistics_with_Python_Specialization

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   Statistics with Python Specialization. This repo contains everything I learnt and did during the specialization training in Statistics with Python Specialization offered by the University of Michigan on Coursera. Course 1: Understanding and Visualizing Data with Python. Completed!

3. medium.com › dunder-data › python-for-data-analysis-a-critical-line-by-line-reviewPython for Data Analysis — A Critical Line-by-Line Review

   medium.com › dunder-data › python-for-data-analysis-a-critical-line-by-line-review

   27 lis 2017 · Review Focuses on Pandas. The main focus of PDA is on the pandas library but it does have material on basic Python, IPython and NumPy, which are covered in chapters 1–4 and in the appendices....

4. www.reddit.com › r › datasciencePython for Data Analysis — A Critical Line-by-Line Review

   www.reddit.com › r › datascience

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   The book begins by erroneously stating that the Series and DataFrame constructors are used often. They are not, This is outright wrong. As someone who has done Data Science in diverse fields, I often find myself parsing text files in weird formats (non csv) and then using the constructor to create the data frame.

5. ksopyla.com › machine-learning › seaborn-wizualizacja-danychPython Seaborn wizualizacja danych na sterydach

   ksopyla.com › machine-learning › seaborn-wizualizacja-danych

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   29 lis 2023 · Kluczowe jest zrozumienie dwóch argumentów tej funkcji: vars, {x,y}_vars pozwalają one określić podzbiór zmiennych (kolumn z dataframe’a), które zostaną wzięte do zestawienia. Rzadko będziemy chcieli wyznaczyć zależności pomiędzy wszystkimi możliwymi zmiennymi.

6. softinery.com › pl › blogWykresy Python: matplotlib i inne biblioteki do wizualizacji -...

   softinery.com › pl › blog

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   Omówiliśmy kilka prostych przykładów tworzenia wykresów przy użyciu biblioteki matplotlib. Oprócz nich mamy do dyspozycji mnóstwo innych typów, takich jak np. wykresy słupkowe, konturowe, czy trójwymiarowe. Są one bardzo dokładnie opisane w dokumentacji matplotlib.

7. online.umich.edu › courses › understanding-and-visualizing-data-with-pythonUnderstanding and Visualizing Data with Python | Michigan Online

   online.umich.edu › courses › understanding-and-visualizing-data-with-python

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   During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python.