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.
Python Data Analysis
Python Data Analysis
This course is part of Introduction to Scripting in Python Specialization
Instructors: Scott Rixner
Sponsored by Louisiana Workforce Commission
39,399 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(885 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
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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 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
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
What's included
4 videos2 readings1 assignment
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
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
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Learner reviews
4.7
885 reviews
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Showing 3 of 885
AA
4
Reviewed on Dec 4, 2020
more so a data management and cleaning course rather than an actual analysis course. Was expecting more statistical analysis computation
JX
5
Reviewed on Jul 11, 2021
Extremely clear explanations, and good practice exercises for evaluation. Builds well upon previous courses in the specialization. Excellent course.
JD
4
Reviewed on May 17, 2020
This course is good and the instructors way of teaching is quite attractive and interactive. I have learnt a lot during this course.
Recommended if you're interested in Computer Science
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