EdX

Scripting with Python (edX)

Scripting with Python (edX)

Explore fundamental programming with hands-on activities that help you build applications using Python. The Python programming language is extremely powerful and commonly used to automate time-intensive activities/tasks for users. This makes Python a good skill to have for any job that requires automation to replace data in a file, rename multiple file names, update Excel spreadsheets or mine data from web pages.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Python can be used as a steppingstone to enter some of the most exciting industries including data science, artificial intelligence, machine learning, software or full-stack development.
Learning the fundamentals of programming concepts with Python includes data types, variables, decision statements, loops, functions and file handling. By developing simple scripts, you can understand how to use common scripting language constructs including lists, literals and regular expressions to build useful applications.
After taking this class, you will be able to:
Write Python scripts with confidence using best practices and coding standards:

  • Evaluate control constructs for program flow
  • Write simple scripts
  • Format scripts following code standards best practices

Solve problems before developing code by designing programs with pseudocode or flowcharts:

  • Write pseudocode to support code design
  • Draw a flowchart using design tools to support code design
  • Develop user interface for input and output
  • Develop script syntax based on a problem statement

Develop fully functional programs using a Python interpreter:

  • Determine the difference between an interpreter and a compiler
  • Run script syntax with an interpreter
  • Write script syntax with an interpreter
  • Develop scripts in an integrated development environment (IDE)
  • Fix script errors
  • Validate user inputs in program development

This is the first course in the introductory, undergraduate-level offering that makes up the larger Business Analytics Foundations and Data Management with Python and SQL MicroBachelors programs. We recommend taking them in order, unless you have a background in these areas already and feel comfortable skipping ahead.

  1. Scripting with Python - starting February 2021
  2. Structured Database Environments with SQL OR Applied Statistics with Python - starting February 2021

This course is part of the Business Analytics Foundations MicroBachelors and Data Management with Python and SQL MicroBachelors.

What you'll learn

  • Translate requirements to solve problems computationally
  • Write scripts using syntax and conventions in accordance with industry standard best practices
  • Develop a fully functional program using industry-relevant tools
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

CS50's Introduction to Artificial Intelligence with Python (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Artificial Intelligence with Python (edX)

Learn to use machine learning in Python in this introductory course on artificial intelligence. AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

Self Paced
Self-Paced
Using Python for Research (edX) EdX
HarvardX,Harvard University

Using Python for Research (edX)

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research. This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects.

Self Paced
Self-Paced
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
Computing in Python II: Control Structures (edX) EdX
Georgia Institute of Technology,GTx

Computing in Python II: Control Structures (edX)

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well. Building on your prior knowledge of variables and operators, this course gets into the meat of programming. Organized into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python.

Self Paced
Self-Paced
LAFF – On Programming for Correctness (edX) EdX
University of Texas at Austin,UTAustinX

LAFF – On Programming for Correctness (edX)

Learn to apply formal methods to systematically develop correct, loop-based programs, an essential skill for computer programmers. Is my program correct? Will it give the right output for all possible permitted inputs? Computers are now essential in everyday life. Incorrect programs lead to frustration in the best case and disaster in the worst. Thus, knowing how to construct correct programs is a skill that all who program computers must strive to master.

Self Paced
Self-Paced
IoT System Design: Software and Hardware Integration (edX) EdX
Waseda University,WasedaX

IoT System Design: Software and Hardware Integration (edX)

Start developing your own Internet of Things (IoT) system with this exploration of the interaction between software and hardware. This course is designed to teach you how systems are developed using IoT technology. Many engineers and developers tend to focus on a single discipline - either software or hardware. However, in today’s connected age it's critical to have a comprehensive understanding of both disciplines and how they are intertwined.

Self Paced
Self-Paced
Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms (edX) EdX
Georgia Institute of Technology,GTx

Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms (edX)

Learn the basics of object-oriented programming and algorithms. Students will build on the skills learned from “Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blueprints of concepts or objects that are represented in a programming problem. Students will leverage the concepts of inheritance, interfaces, and polymorphism to program reusability and flexibility in classes. Finally, students will gain experience walking through and analyzing algorithms that are applied on data (including objects) in many object-oriented programs.

Self Paced
Self-Paced