Python Programming Fundamentals

This course is part of Programming for Python Data Science: Principles to Practice Specialization

Instructors: Andrew D. Hilton +3 more

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What you'll learn

  •   Utilize a Logical Seven Step framework to create algorithms and programs
  •   Create useful test cases and efficiently debug Python code.
  •   Master Python basics (conditionals, loops, mathematical operators, data types)
  •   Develop a Python Program from scratch to solve a given data science problem.

    • Skills you'll gain

  •   Computer Programming
  •   Programming Principles
  •   Microsoft Development Tools
  •   Program Development
  •   Python Programming
  •   Integrated Development Environments
  •   Software Testing
  •   Data Manipulation
  •   Computational Thinking
  •   Debugging
  •   Software Development
  •   Development Environment
  •   Algorithms
  •   Data Analysis

    • There are 4 modules in this course

    By the end of this course, you will learn to: - Gain a stepwise approach to problem-solving using algorithms and programming logic. - Apply common functions, conditional statements, and loops to build Python scripts and programs. - Work with the VS Code programming environment to enhance coding proficiency. - Use testing and debugging strategies to ensure code reliability. - Perform logical and mathematical operations on datasets. In the final week of the course you will apply your new algorithm design and programming skills to a data analysis problem: analyzing heart rate data.

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