Program profile · official sources
Introduction to Python
365 Data Science's 'Introduction to Python' is a basic-level, online course that introduces beginners to fundamental programming concepts and Python's technical advantages for data science and machine learning. Instructed by Martin Ganchev, the two-hour curriculum covers variables, data types, basic syntax, conditional statements, functions, sequences, and iterations, concluding with a prime numbers project. Earning the provider-issued course certificate requires passing the course exam, with general terms specifying a 60% or higher passing grade. The provider lists five CPE credits in the Information Technology field of study; acceptance depends on the relevant board. A Jupyter Notebook or JupyterLab setup is explicitly required, but no advanced preparation is necessary.
Facts checked 2 Oct 2026
- Price
- See pricing
Price observation recorded 2 Oct 2026 (not a current price): US observation on 2 October 2026: platform Self-study displays $36/month reference price and $29/month billed annually promotional offer; the FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
Official source · Checked
- Time
- 2 hours (provider headline; module, practice exam, and project timings listed separately)
- Level
- Basic
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
- Prerequisites
- Jupyter Notebook or JupyterLab (available through anaconda.com or online platforms like Google Colab). Advanced preparation: None.
- Format
- 100% online, self-paced course
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Why Python?
- Python Variables and Data Types
- Basic Python Syntax
- More on Operators
- Conditional Statements
- Functions
- Sequences
- Iteration
- A few important Python concepts and terms
- Course project and exam
Prerequisites: Jupyter Notebook or JupyterLab (available through anaconda.com or online platforms like Google Colab). Advanced preparation: None.
What you actually do
- Why Python? : 6 min; Section 1 · Source
- Python Variables and Data Types : 20 min; Section 2 · Source
- Basic Python Syntax : 12 min; Section 3 · Source
- More on Operators : 8 min; Section 4 · Source
- Conditional Statements : 14 min; Section 5 · Source
- Functions : 19 min; Section 6 · Source
- Sequences : 19 min; Section 7 · Source
- Iteration : 25 min; Section 8 · Source
- A few important Python concepts and terms : 22 min; Section 9 · Source
- Course project and exam : 85 min; Section 10 · Source
What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / introduction-to-python
- Credential
- Course Certificate · 365datascience.com / certificates
- Issuer
- 365 Data Science · 365datascience.com / certificates
- Sharing
- Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Pass the course exam; general certificate terms state 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
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