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Rice University via Coursera

Python Data Representations

4.71,131 ratings at Coursera

Overview

This course will continue the introduction to Python programming that started with Python Programming Essentials. We'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. We will also teach you how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs.

By the end of the course, you will be able to write Python programs that can manipulate data stored in files. This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python

This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development environments.

Syllabus 4

  1. Strings 1.5 hours

    This module will teach you about Python's string data type and its capabilities. Strings are used to represent text within programs.

  2. Basics of Lists 2 hours

    This module will teach you the basics of Python's list data type. Lists are used to hold a sequence of data within programs.

  3. List Manipulation 1.5 hours

    This module will dive further into the use of lists. You will learn how about mutating the contents of a list and the implications of doing so.

  4. File Access 3.5 hours

    This module will teach you how to access files in Python.

Skills you'll practise

Computer ProgrammingPython Programming

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From Rice University, a well-regarded name.
  • Rated 4.7 out of 5 by 1,131 learners.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Scott RixnerProfessor, Computer Science
  • Joe WarrenProfessor, Computer Science

Rice University is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

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