Data Analytics with Python Internship
A self-paced virtual internship in practical data analytics with Python, covering NumPy, pandas, data cleaning, exploratory analysis and visualisation, ending with a portfolio-ready analysis project.
Analyse data and communicate insights using Python and statistics.
Analyse data and communicate insights using Python and statistics.
Basic mathematics; programming exposure is helpful.
Course duration: 3 months
Loading, cleaning and transforming data.
Descriptive and inferential statistics.
Choosing and building effective charts.
Regression and classification basics.
Register, verify your email and enroll (pay securely online if the certification is paid).
Use the syllabus and learning outcomes to prepare at your own pace.
Start the timed exam any time within your access window. Results are instant.
Pass to receive a QR-verifiable digital certificate.
Online multiple-choice examination with automated grading.
| Exam format | Single final online exam |
|---|---|
| Number of questions | 30 multiple-choice |
| Time allowed | 60 minutes |
| Passing score | 60% or higher |
| Attempts allowed | 3 |
| Exam access window | Your chosen course duration |
| Grading | Automatic, immediately after submission |
Issued as a PDF with a unique certificate number and verification ID.

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A self-paced virtual internship in practical data analytics with Python, covering NumPy, pandas, data cleaning, exploratory analysis and visualisation, ending with a portfolio-ready analysis project.
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