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Commonly used Python libraries are: 👉🏻NumPy: This library is used for scientific computing and working with arrays of data. It provides functions for working with arrays of data, including mathematical operations, linear algebra, and random number generation. 👉🏻Pandas: This library is used for data manipulation and analysis. It provides tools for importing, cleaning, and transforming data, as well as tools for working with time series data and performing statistical analysis. 👉🏻Matplotlib: This library is used for data visualization. It provides functions for creating a wide range of plots, including scatter plots, line plots, bar plots, and histograms. 👉🏻Scikit-learn: This library is used for machine learning. It provides a range of algorithms for classification, regression, clustering, and dimensionality reduction, as well as tools for model evaluation and selection. 👉🏻TensorFlow: This library is used for deep learning. It provides a range of tools and libraries for building and training neural networks, including support for distributed training and hardware acceleration.

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FREE RESOURCES TO LEARN DATA ANALYSIS 👇👇 Data Analysis with Python Free Certified Course https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course SQL for Data Analysis FREE COURSE https://bit.ly/3BlvSq7 Data Analysis with Power BI https://learn.microsoft.com/en-us/training/paths/perform-analytics-power-bi/?ns-enrollment-type=Collection&ns-enrollment-id=djwu3eywpk4nm Data Analysis Roadmap https://bit.ly/3YpMM2y Master Data Analysis with Python - Intro to Pandas 2022 [4.7 star ratings out of 5] https://bit.ly/3LkLtLj Free Data Analytics Test https://www.alooba.com/free-data-analytics-test-intro/ Statistical Data Analysis Free Book http://www.sherrytowers.com/cowan_statistical_data_analysis.pdf Data Analysis with Python and Pyspark https://t.me/learndataanalysis/44 Google Data Analytics Capstone Project_With Python https://www.kaggle.com/code/olumideolaoye1/google-data-analytics-capstone-project-with-python ENJOY LEARNING 👍👍

🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022 ⏱ 60 Hours 📦 230 Lessons At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps! Taught By: Dr. Angela Yu Download Full Course: https://t.me/pythonfreebootcamp/2 Download All Courses: https://t.me/programming_guide

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