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python-for-geeks-ebook.pdf6.91 MB
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Basics of Prompt Engineering - 2023.zip256.00 MB
An Introduction to Analysis
William R Wade
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You will have to login and verify your email address to practice these free questions
Repost from Coding Interview Resources
Data_Engineering_Interview_Question_and_Answers_1682785467_1.pdf9.55 KB
Repost from Coding Interview Resources
Data_Engineering_Interview_Question_and_Answers_1682785467_1.pdf9.55 KB
Repost from SQL Programming Resources
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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.
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👉🏻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.
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FREE RESOURCES TO LEARN DATA ANALYSIS
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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
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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
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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 👍👍
