Introduction to Programming

Instructor: Dr. Jennifer Coy

Skills you'll gain

  •   Computer Programming
  •   Scripting
  •   Object Oriented Programming (OOP)
  •   Python Programming
  •   Debugging
  •   Data Analysis
  •   Statistical Analysis
  •   NumPy
  •   Data Science
  •   Data Manipulation
  •   Natural Language Processing
  • There are 5 modules in this course

    Here, you will gain a thorough understanding of how to write programs to solve problems, through structured, scaffolded, hands-on exercises with many examples and opportunities to practice. You will learn the foundational concepts of computer science by developing programs in the python programming language (one of the most commonly used languages). We will also use many of the most common python packages -- why reinvent the wheel when you can use well-tested, flexible, pre-built solutions? While these packages can save significant time, it is also important to understand how they do their magic, and if your particular problem is the right fit to be solved by these potential tools. You will encounter the following python packages: numpy, scipy, matplotlib, pandas, seaborn, re (for regular expressions), textblob, nltk, and others. In the process of learning how to program, we will explore different topics at the introductory level, including natural language processing and data analytics. By the end of this course, you will be confident in your ability to solve a problem using the python programming language -- and how to verify that your solution is accurate.

    Control Statements, Loops, and Program Development

    Functions, A Beginning

    Functions, The Ongoing Story

    Conclusion

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