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Python Data Analysis

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master data manipulation and cleaning techniques using Python for accurate analysis and reporting
  • Apply Python libraries like Pandas and NumPy to perform statistical analysis and data visualization
  • Develop skills to extract insights from large datasets for informed decision-making in data science projects
  • Implement data analysis workflows to automate repetitive tasks and improve efficiency
  • Utilize Python to handle real-world data challenges, including missing data and data transformation
  • Create compelling data visualizations to communicate findings effectively to stakeholders

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Lessons | 6

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Munir Ahmad

Good
2025-09-24

Yonas Taye

Its nice
2025-09-02

EL MOSTAFA ATEMNI

Good, and better if the the files can be downloaded, either files.py or files.sqlite in the aim to practise. Any way , thank you MindLsuter, thank you Ben Hoff
2025-05-29

Cristobal De La Cruz Urgell

the best course, very easy understen
2025-03-03

BIRUK TAYE

very nice!!!
2024-01-03

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It has a remarkably simple syntax and vocabulary so you can pick it up relatively quickly, especially compared to more complex languages like C, C++, and Java. Python, for data scientists, is an obvious choice of a language to learn.