About this Course
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Flexible deadlines

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Beginner Level

Approx. 12 hours to complete

Suggested: This is a four week class with an expected workload of 5-7 hours per week....

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 12 hours to complete

Suggested: This is a four week class with an expected workload of 5-7 hours per week....

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Dictionaries

This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.

...
7 videos (Total 45 min), 2 readings, 1 quiz
7 videos
Class Structure4m
Python Dictionaries5m
Defining a Dictionary6m
Dictionary Lookup and Update8m
Checking Keys8m
Handling Dictionary Errors8m
2 readings
Dictionaries - Example10m
Practice Exercises for Dictionaries10m
1 practice exercise
Dictionaries14m
Week
2
1 hour to complete

Tabular Data and Nested Data Structures

This module will teach you about storing tabular data within Python programs using lists and dictionaries.

...
4 videos (Total 32 min), 2 readings, 1 quiz
4 videos
Tabular Data as a Nested List10m
Tabular Data as a Nested Dictionary9m
Displaying Dictionaries5m
2 readings
Tabular Data10m
Practice Exercises for Nested Data Structures10m
1 practice exercise
Nested Representations for Tabular Data14m
Week
3
4 hours to complete

Tabular Data and CSV Files

This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.

...
8 videos (Total 66 min), 4 readings, 2 quizzes
8 videos
Parsing CSV Files6m
Python's CSV Module7m
CSV DictReader10m
CSV Reader Options9m
Experimenting with CSV Methods - Part 18m
Experimenting with CSV Methods - Part 27m
Project Video for Part 19m
4 readings
CSV Files10m
Practice Project: Loading Cancer-Risk Data10m
Project Description: Reading and Writing CSV Files10m
OwlTest: Automated Feedback and Assessment10m
Week
4
2 hours to complete

Organizing Data

This module will teach you how to sort data in Python. You will organize and analyze tabular data.

...
6 videos (Total 53 min), 3 readings, 1 quiz
6 videos
Lambda9m
Advanced Sorting5m
Refactoring Your Code - Part 17m
Refactoring Your Code - Part 27m
Project Video for Part 215m
3 readings
Dictionaries vs. Lists for storing data10m
Practice Project: Processing Cancer-Risk Data10m
Project Description: Analyzing Baseball Data10m
4.7
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Top reviews from Python Data Analysis

By JJan 30th 2019

Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.

By JPAug 24th 2018

This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!

Instructors

Avatar

Scott Rixner

Professor
Computer Science
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Joe Warren

Professor
Computer Science

About Rice University

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....

About the Introduction to Scripting in Python 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....
Introduction to Scripting in Python

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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