Introduction to Scripting in Python Specialization

Started Nov 13

Introduction to Scripting in Python Specialization

Introduction to Scripting in Python Specialization

Launch Your Career in Python Programming. Master the core concepts of scripting in Python to enable you to solve practical problems.

About This Specialization

This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.

Created by:

courses
4 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

Courses
Beginner Specialization.
No prior experience required.
  1. COURSE 1

    Python Programming Essentials

    Current session: Nov 13
    Commitment
    This is a four week class with an expected workload of 5-7 hours per week.
    Subtitles
    English

    About the Course

    This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and condi
  2. COURSE 2

    Python Data Representations

    Current session: Nov 13
    Commitment
    This is a four week class with an expected workload of 5-7 hours per week.
    Subtitles
    English

    About the Course

    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 progr
  3. COURSE 3

    Python Data Analysis

    Current session: Nov 13
    Commitment
    This is a four week class with an expected workload of 5-7 hours per week.
    Subtitles
    English

    About the Course

    This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We w
  4. COURSE 4

    Python Data Visualization

    Starts November 2017
    Commitment
    This is a four week class with an expected workload of 5-7 hours per week.
    Subtitles
    English

    About the Course

    This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.

Creators

  • Rice University

    The creators of this Specialization are the instructors for the first-year Computer Science classes at Rice University. Their goal is to provide a learning experience that is both practical and challenging.

    Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.

  • Joe Warren

    Joe Warren

    Professor
  • Scott Rixner

    Scott Rixner

    Professor

FAQs

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