Python Data Analysis

Python Data Analysis

This course is part of Introduction to Scripting in Python Specialization

Instructors: Scott Rixner

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40,050 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

4.7

(887 reviews)

Beginner level

No prior experience required

Flexible schedule

Approx. 9 hours

Learn at your own pace

95%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

4.7

(887 reviews)

Beginner level

No prior experience required

Flexible schedule

Approx. 9 hours

Learn at your own pace

95%

Most learners liked this course

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

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

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 4 modules in this 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 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.

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

What's included

7 videos2 readings1 assignment

7 videosTotal 44 minutes

Welcome!2 minutesPreview module
Class Structure4 minutes
Python Dictionaries5 minutes
Defining a Dictionary6 minutes
Dictionary Lookup and Update8 minutes
Checking Keys8 minutes
Handling Dictionary Errors8 minutes

2 readingsTotal 20 minutes

Dictionaries - Example10 minutes
Practice Exercises for Dictionaries10 minutes

1 assignmentTotal 30 minutes

Dictionaries30 minutes

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

What's included

4 videos2 readings1 assignment

4 videosTotal 31 minutes

Iteration over Dictionaries6 minutesPreview module
Tabular Data as a Nested List10 minutes
Tabular Data as a Nested Dictionary9 minutes
Displaying Dictionaries5 minutes

2 readingsTotal 20 minutes

Tabular Data10 minutes
Practice Exercises for Nested Data Structures10 minutes

1 assignmentTotal 30 minutes

Nested Representations for Tabular Data30 minutes

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.

What's included

8 videos4 readings2 app items

8 videosTotal 66 minutes

Tables and CSV Files7 minutesPreview module
Parsing CSV Files6 minutes
Python's CSV Module7 minutes
CSV DictReader10 minutes
CSV Reader Options9 minutes
Experimenting with CSV Methods - Part 18 minutes
Experimenting with CSV Methods - Part 27 minutes
Project Video for Part 19 minutes

4 readingsTotal 40 minutes

CSV Files10 minutes
Practice Project: Loading Cancer-Risk Data10 minutes
Project Description: Reading and Writing CSV Files10 minutes
OwlTest: Automated Feedback and Assessment10 minutes

2 app itemsTotal 120 minutes

Project Submission History60 minutes
Project: Reading and Writing CSV Files60 minutes

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

What's included

6 videos3 readings1 app item

6 videosTotal 52 minutes

Sorting7 minutesPreview module
Lambda9 minutes
Advanced Sorting5 minutes
Refactoring Your Code - Part 17 minutes
Refactoring Your Code - Part 27 minutes
Project Video for Part 215 minutes

3 readingsTotal 30 minutes

Dictionaries vs. Lists for storing data10 minutes
Practice Project: Processing Cancer-Risk Data10 minutes
Project Description: Analyzing Baseball Data10 minutes

1 app itemTotal 60 minutes

Project: Analyzing Baseball Data60 minutes

Instructors

Instructor ratings

4.8 (122 ratings)

Scott Rixner

Rice University

11 Courses399,533 learners

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Rice University

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Learner reviews

4.7

887 reviews

5 stars
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4 stars
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3 stars
5.07%
2 stars
1.35%
1 star
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Showing 3 of 887

Reviewed on May 19, 2020

Great class. It might not be perfect for beginners, but good for someone who has had one semester in Python programming. Thank you, everyone!

Reviewed on Jul 11, 2021

Extremely clear explanations, and good practice exercises for evaluation. Builds well upon previous courses in the specialization. Excellent course.

Reviewed on May 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.

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