What Is Programming? And How To Get Started
January 28, 2025
Article
This course is part of multiple programs.
Instructor: Victor Geislinger
15,251 already enrolled
Included with
(164 reviews)
Recommended experience
Beginner level
No previous experience is required.
(164 reviews)
Recommended experience
Beginner level
No previous experience is required.
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
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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.
By the end of this course you will be able to: • Use Python to construct loops and basic data structures • Sort, query, and structure data in Pandas, the Python library • Create data visualizations with Python libraries • Model and interpret data using Python This course is designed for people who want to learn the basics of using Python to sort and structure data for data analysis. You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate.
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.
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.
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.
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.
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.
9 videos3 assignments1 programming assignment1 discussion prompt
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Course
University of Colorado Boulder
Specialization
University of Michigan
Course
Edureka
Specialization
164 reviews
61.81%
21.81%
9.69%
3.63%
3.03%
Showing 3 of 164
Reviewed on Aug 11, 2024
The course was very informative, and I was able to learn very quickly and easily. Thanks!
Reviewed on Oct 25, 2023
I liked the content and lessons learned in using Python. However, platform-wise, some assignments were not graded by the grader.
Reviewed on Aug 30, 2024
A great course for beginners with goo course outline.
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