Statistics with Python

Use Python, NumPy, and SciPy to describe data, quantify uncertainty, test claims, and communicate reproducible evidence.

Level
intermediate
Duration
40 hours
Access
free
Languages
English

Price and billing

Price
Free
Billing basis
Not applicable

Learning outcomes

  • Frame a statistical question and validate the observations, variables, and sampling process.
  • Summarize distributions with measures that reflect shape, spread, and unusual values.
  • Model bounded uncertainty with explicit events, assumptions, and reproducible simulation.
  • Estimate population quantities and explain uncertainty through sampling distributions.
  • Test a predeclared claim while reporting assumptions, uncertainty, and practical effect.
  • Quantify relationships without confusing association, prediction, and causation.
  • Select robust statistical methods for counts, ranks, and violated parametric assumptions.
  • Deliver a reproducible statistical analysis with validated data, justified methods, and honest conclusions.

Requirements

Prior knowledge
Basic programming experience is recommended.
Devices
A computer with a modern web browser is recommended for practical work.
Software
A modern browser with JavaScript enabled; coding tools run inside the course.
Equipment
No additional physical equipment is required unless a course activity explicitly states otherwise.
Connectivity
Internet access is required to load course content, save progress, and submit work.
  • A modern browser and reliable internet connection
  • Time for four to six hours of practice per week
  • Completion of each server-scored unit assessment in order

Curriculum

8 units

Assessments and completion

Each of the eight units includes a server-scored assessment. Learners must score at least 70% to pass a unit; up to three attempts are allowed per assessment.

Access period

Duration
No fixed expiry
Access starts
Enrollment

Certificate

Offer
No certificate is currently offered.
Issuer
Not applicable.
Fee policy
No certificate
Verification
Not advertised.

Policies

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