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
Python Data Analytics
This course is part of multiple programs.
Taught in English
Some content may not be translated
Instructor: Victor Geislinger
3,955 already enrolled
Included with 
Course
Gain insight into a topic and learn the fundamentals
4.3
(23 reviews)
Beginner level
Recommended experience
27 hours (approximately)
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
Shareable certificate
Add to your LinkedIn profile
Assessments
17 assignments
Course
Gain insight into a topic and learn the fundamentals
4.3
(23 reviews)
Beginner level
Recommended experience
27 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
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There are 4 modules in this course
This week you will be introduced to Python and how it can be used in data analytics. 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
29 videos4 readings7 assignments9 programming assignments1 discussion prompt
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
14 videos3 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
24 videos4 assignments6 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
11 videos3 assignments1 programming assignment
Instructor
Instructor ratings
3.8 (5 ratings)Offered by
Recommended if you're interested in Data Analysis
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4.3
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