This course is part of the Introduction to Scripting in Python Specialization

4.7
stars
818 ratings

Scott Rixner +1 more instructor

32,185 already enrolled

Offered By

Introduction to Scripting in Python SpecializationRice University

About this Course

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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 will also teach you about CSV files and Python's support for reading and writing them.  CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.
By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider 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 uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Course 3 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Introduction to Scripting in Python Specialization

Beginner Level

Approx. 9 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Instructors

Instructor rating

4.83/5 (106 Ratings)

Scott Rixner

Joe Warren

Offered by

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.

Syllabus - What you will learn from this course

Content Rating95%(1,886 ratings)

Week

Week 1

2 hours 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.

2 hours to complete

7 videos (Total 45 min), 2 readings, 1 quiz

Week

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.

1 hour to complete

4 videos (Total 32 min), 2 readings, 1 quiz

Week

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.

4 hours to complete

8 videos (Total 66 min), 4 readings, 2 quizzes

Week

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.

2 hours to complete

6 videos (Total 53 min), 3 readings, 1 quiz

Reviews

4.7

135 reviews

5 stars
76.88%
4 stars
16.05%
3 stars
5.10%
2 stars
1.09%
1 star
0.85%

TOP REVIEWS FROM PYTHON DATA ANALYSIS

by ACSep 11, 2020

This course requires a lot of practice to be able to solve the project. Overall, i feel the practice was a bit less and the final project required a steep learning curve

by MRMay 17, 2020

Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.

by ASMay 15, 2020

One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.

by NLJul 6, 2021

Great programming practice, especially the project for week4. I am more comfortable with lambda now. I am much more helpful to my son in Python classes.

View all reviews

About the Introduction to Scripting in Python Specialization

Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.

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