Rice University - Python Data Analysis
5.0 /5- Offered byCoursera
Python Data Analysis at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Python Data Analysis at Coursera Highlights
- 50% started a new career after completing these courses.
- 43% got a tangible career benefit from this course.
- Earn a shareable certificate upon completion.
Python Data Analysis at Coursera Course details
- 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.
Python Data Analysis at Coursera Curriculum
Dictionaries
Welcome!
Class Structure
Python Dictionaries
Defining a Dictionary
Dictionary Lookup and Update
Checking Keys
Handling Dictionary Errors
Dictionaries - Example
Practice Exercises for Dictionaries
Dictionaries
Tabular Data and Nested Data Structures
Iteration over Dictionaries
Tabular Data as a Nested List
Tabular Data as a Nested Dictionary
Displaying Dictionaries
Tabular Data
Practice Exercises for Nested Data Structures
Nested Representations for Tabular Data
Tabular Data and CSV Files
Tables and CSV Files
Parsing CSV Files
Python's CSV Module
CSV DictReader
CSV Reader Options
Experimenting with CSV Methods - Part 1
Experimenting with CSV Methods - Part 2
Project Video for Part 1
CSV Files
Practice Project: Loading Cancer-Risk Data
Project Description: Reading and Writing CSV Files
OwlTest: Automated Feedback and Assessment
Organizing Data
Sorting
Lambda
Advanced Sorting
Refactoring Your Code - Part 1
Refactoring Your Code - Part 2
Project Video for Part 2
Dictionaries vs. Lists for storing data
Practice Project: Processing Cancer-Risk Data
Project Description: Analyzing Baseball Data
Python Data Analysis at Coursera Admission Process
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