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Python In 4 hours

Track :

Programming

Lessons no : 36

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What will you learn in this course?
  • Master Python syntax and basic programming concepts for efficient coding and problem-solving
  • Develop Python scripts for automating repetitive tasks and data processing workflows
  • Implement Python libraries for data analysis, visualization, and reporting in real-world scenarios
  • Create simple web applications and software solutions using Python frameworks and tools
  • Apply Python to organize, analyze, and visualize financial and scientific data effectively
  • Debug and troubleshoot Python code to ensure reliable and error-free programs
  • Utilize Python for data manipulation, cleaning, and transformation in data science projects
  • Integrate Python with databases and APIs for dynamic data retrieval and storage
  • Write clean, maintainable Python code adhering to best practices and coding standards
  • Use Python to develop automation scripts that improve productivity and efficiency
  • Leverage Python libraries for data visualization to communicate insights clearly and effectively
  • Implement Python in various industries such as finance, science, and web development

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 36


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8 Reviews

DEIVY JULIAN VALENCIA C.C. 1125271495

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2025-10-13

muneeb kaleem

It's good course but problem is that it has not training exercises
2025-06-21

Soukayna BAAMMI

Excellent work
2025-03-15

Prakhar Pratap Singh

now I understand it and it is impressing my friends and family thank you
2024-12-31

Hamza Wachtouk

nice course
2024-11-13

Suraj Bhadade

This was amazing course
2024-10-02

DIALLO Thierno Ibrahima

it's so helpfull. Thank u
2024-09-11

T Sharmithasri

How can write exam
2024-02-24

Safi rahman

good
2024-01-21

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Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.