This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data.
Python Data Analytics
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Python Data Analytics
This course is part of multiple programs.
Instructor: Victor Geislinger
12,049 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.3
(136 reviews)
Beginner level
Recommended experience
21 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Sort, query, and structure data in Pandas, the Python library
Describe how to model and interpret data using Python
Create basic data visualizations with Python libraries
Skills you'll gain
Details to know
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Assessments
14 assignments
Taught in English
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There are 5 modules in this course
In this module you will be introduced to Python and how it can be used in data analytics. You will also learn how to use the Jupyter Notebook programming environment.
What's included
8 videos4 readings1 assignment1 programming assignment
In this module, you will learn basic programming principles such as variables and variable types using Python. You’ll also delve into basic Python statements such as Booleans and conditional statements.
What's included
12 videos1 reading3 assignments5 programming assignments
This week is focused on using a Python library called Pandas. You will learn how to use Pandas to load, select, and clean data.
What's included
12 videos1 reading3 assignments4 programming assignments
This week you will further explore and analyze datasets with Python. You will learn how to calculate basic statistics and create data visualizations with Pandas and Matplotlib, another Python library.
What's included
17 videos4 assignments4 programming assignments
This week you will focus on modeling data with Python and interpreting the model results. You complete a data analytics challenge that applies the knowledge of Python and the application of the OSEMN framework you have gained throughout the course.
What's included
9 videos3 assignments1 programming assignment1 discussion prompt
Instructor
Instructor ratings
4.0 (32 ratings)Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
Scrimba
Illinois Tech
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