Listed as Free on Udemy when checked on 21 October 2026. No coupon or subscription trial is required for the listed lessons. Enrollment needs a Udemy account; availability can change.
About this course
Before analyzing a dataset with Python, a beginner needs to understand how to run code and work with simple values. Alexander Shafe starts with the Anaconda and Jupyter environment, then introduces the language through variables, data types, operators and strings.
The syllabus continues through slicing, functions, conversion between types, formatted output and user input. A bill-payment program brings several of these basics together. Although the official course title refers to data analysis, the listed lessons primarily establish programming foundations rather than a full analytics workflow.
| Official course | Python 101 – For Data Analysis |
|---|---|
| Created by | Alexander Shafe |
| Platform | Udemy |
| Language | English |
| Level | Beginner — Udemy listing |
| Listed duration | 98 minutes; 7 lectures across 1 sections |
| Certificate | Not included with a new free enrollment |
Skills you’ll gain
- Running introductory Python code in a notebook
- Working with variables, strings and basic data types
- Using input, output and type conversion in a program
- Following a small program that combines several Python basics
No programming experience is required. A computer on which you can use the demonstrated tools is needed for practice; installation lessons address both Windows and Mac.
The course demonstrates Anaconda, but the underlying Python and notebook concepts can also be practiced with a direct Jupyter installation. Jupyter’s official instructions describe that route. Do not expect pandas, machine learning or a complete data-analysis project from the published seven-lecture syllabus.
Jupyter installation: Official instructions for installing Jupyter independently.
Frequently asked questions
Is this already a full data-analysis course?
The published syllabus is mainly a Python introduction and a small programming exercise. It is a starting point for later data-analysis study.
Must I use Anaconda to learn these Python concepts?
The videos demonstrate it, but Python and Jupyter can be installed by other routes. Setup screens may differ from the demonstrations.
Checked on 21 October 2026 using the public course details and syllabus. WikiFree has not watched every lesson or tested full playback. New free enrollments do not include a Udemy completion certificate, instructor Q&A or direct messages.
Questions & discussion
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