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Python Data Structures

Approx. 19 hours to complete

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Course Summary

Learn Python for data analysis in this comprehensive course. Gain practical skills in data manipulation, analysis, and visualization using Python, and create data-driven solutions to real-world problems.

Key Learning Points

Learn Python programming language from scratch
Apply Python to data manipulation, analysis, and visualization
Build data-driven solutions to real-world problems

Job Positions & Salaries of people who have taken this course might have

- USA: $65,000 - $95,000
- India: ₹4,00,000 - ₹9,00,000
- Spain: €25,000 - €50,000
- USA: $65,000 - $95,000
- India: ₹4,00,000 - ₹9,00,000
- Spain: €25,000 - €50,000
- USA: $90,000 - $140,000
- India: ₹7,00,000 - ₹20,00,000
- Spain: €40,000 - €70,000
- USA: $65,000 - $95,000
- India: ₹4,00,000 - ₹9,00,000
- Spain: €25,000 - €50,000
- USA: $90,000 - $140,000
- India: ₹7,00,000 - ₹20,00,000
- Spain: €40,000 - €70,000
- USA: $65,000 - $95,000
- India: ₹4,00,000 - ₹9,00,000
- Spain: €25,000 - €50,000

Learning Outcomes

Apply Python programming skills to data analysis
Manipulate, clean, and transform data using Python libraries
Visualize data and create data-driven solutions to real-world problems

Prerequisites or good to have knowledge before taking this course

Basic programming knowledge
Familiarity with Python is helpful but not required

Course Difficulty Level

Intermediate

Course Format

Online, self-paced
Video lectures
Hands-on programming assignments

Similar Courses

Data Science Essentials
Python for Everybody

Related Education Paths

Related Books

Description

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Knowledge

Explain the principles of data structures & how they are used
Create programs that are able to read and write data from files
Store data as key/value pairs using Python dictionaries
Accomplish multi-step tasks like sorting or looping using tuples

Outline

Chapter Six: Strings
Video Welcome - Dr. Chuck
6.1 - Strings
6.2 - Manipulating Strings
Worked Exercise: 6.5
Bonus: Office Hours New York City
Bonus: Monash Museum of Computing History
Fun: The Textbook Authors Meet @PyCon
Reading: Welcome to Python Data Structures
Help Us Learn More About You!
Textbook
Welcome to Python 3
Submitting Assignments
Notice for Auditing Learners: Assignment Submission
Audio Versions of All Lectures
Chapter 6 Quiz

Unit: Installing and Using Python
Demonstration: Using the Python Playground
Windows 10: Installing Python and Writing A Program
Windows: Taking Screen Shots
Macintosh: Using Python and Writing A Program
Macintosh: Taking Screen Shots
Important Reading: Using Python in this Class
Notes on Choice of Text Editor

Chapter Seven: Files
7.1 - Files
7.2 - Processing Files
Demonstration: Worked Exercise 7.1
Bonus: Office Hours Barcelona
Bonus: Gordon Bell - Building Blocks of Computing
Where is the 7.2 worked exercise?
Chapter 7 Quiz

Chapter Eight: Lists
8.1 - Lists
8.2 - Manipulating Lists
8.3 - Lists and Strings
Fun: Python Lists in Paris
Worked Exercise: Lists
Bonus: Office Hours - Chicago
Bonus: Rasmus Lerdorf - Inventing the PHP Language
Chapter 8 Quiz

Chapter Nine: Dictionaries
9.1 - Dictionaries
9.2 - Counting with Dictionaries
9.3 - Dictionaries and Files
Worked Exercise: Dictionaries
Bonus: Office Hours - Amsterdam
Bonus: Brendan Eich - Inventing Javascript
Fun: Dr. Chuck Goes Motocross Racing
Chapter 9 Quiz

Chapter Ten: Tuples
10 - Tuples
Worked Exercise: Tuples and Sorting
Bonus: Office Hours - Puebla, Mexico
Bonus: John Resig - Inventing JQuery
Douglas Crockford: JavaScript Object Notation (JSON)
Fun: The Greatest Taco in the World
Chapter 10 Quiz

Graduation
Graduation Ceremony
Dr.Chuck Wrap Up/What's Next
Please Rate this Course on Class-Central
Post-Course Survey
Keep Learning with Michigan Online

Summary of User Reviews

Find out what students are saying about the Python Data course on Coursera. This course has received a high rating from users who appreciate its comprehensive content and practical approach. Learn Python for data analysis and visualization, and take your skills to the next level with this top-rated course on Coursera.

Key Aspect Users Liked About This Course

The hands-on approach to learning Python for data analysis and visualization was praised by many users.

Pros from User Reviews

Comprehensive content
Practical approach
Interactive assignments
In-depth explanations
Great for beginners

Cons from User Reviews

Slow pace
Some users found the quizzes challenging
Not for advanced users looking for more specialized topics
Lack of personal interaction with instructors
Some users experienced technical difficulties with the platform

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