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Python: A Guided Journey from Introduction to Application Specialization

Description

In today’s society, uses for new technologies are broadening in scope and revolutionizing the world. Many new technologies automate redundant tasks so people may complete tasks of greater priority. These new automated technologies depend on the constant innovation of software. To develop software that can increase our efficiency and change the world for the better, it is vital to understand how to code using different programming languages. This specialization introduces the basics of the Python programming language and teaches how to implement solutions to real-world problems using Python syntax. Topics in this course range from utilizing integrated development environments (IDEs) to implementing Python syntax in scripts. Some of the position titles that may benefit from this course are computer scientist, computer engineer, software engineer, software developer, software tester, electrical engineer, mechanical engineer, chemical engineer and aerospace engineer.  You do not need programming or computer science experience to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course! Applied Learning Project In each of these courses, you will complete coding problems that will strengthen your coding skills. At the end of each course, you will be asked to complete a peer review assignment. You will be tasked with creating a simple calculator and working with data to create data type arrays, implement DataFrames, and display the data in a scatter plot. You will also be asked to design an application that will convert a command line application to a GUI, and use your knowledge about machine learning to develop a classifier that helps medical personnel distinguish between malignant and benign tumors. Read more

Microcredentials

Coursera

Free to Audit

1 month at 10 hours a week

Beginner

Paid Certificate

Python: A Guided Journey from Introduction to Application Specialization

Affiliate notice

  • Type
    Microcredentials
  • Provider
    Coursera
  • Pricing
    Free to Audit
  • Duration
    1 month at 10 hours a week
  • Difficulty
    Beginner
  • Certificate
    Paid Certificate

In today’s society, uses for new technologies are broadening in scope and revolutionizing the world. Many new technologies automate redundant tasks so people may complete tasks of greater priority. These new automated technologies depend on the constant innovation of software. To develop software that can increase our efficiency and change the world for the better, it is vital to understand how to code using different programming languages. This specialization introduces the basics of the Python programming language and teaches how to implement solutions to real-world problems using Python syntax. Topics in this course range from utilizing integrated development environments (IDEs) to implementing Python syntax in scripts. Some of the position titles that may benefit from this course are computer scientist, computer engineer, software engineer, software developer, software tester, electrical engineer, mechanical engineer, chemical engineer and aerospace engineer.  You do not need programming or computer science experience to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course! Applied Learning Project In each of these courses, you will complete coding problems that will strengthen your coding skills. At the end of each course, you will be asked to complete a peer review assignment. You will be tasked with creating a simple calculator and working with data to create data type arrays, implement DataFrames, and display the data in a scatter plot. You will also be asked to design an application that will convert a command line application to a GUI, and use your knowledge about machine learning to develop a classifier that helps medical personnel distinguish between malignant and benign tumors. Read more