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Data Analytics with Python or R

Data Wrangling and Fundamental Statistical Analysis with Python

This course focuses on essential skills for cleaning, preparing, and exploring datasets using Python's core libraries. It provides junior analysts with the foundational capability to derive actionable insights from raw data.

Foundation 12 hours 4.8 (0 reviews) 0 enrolled

£190

Certified Junior Data Analyst

  • Pass mark 70%
  • Certificate on completion
  • Verifiable public certificate ID
  • English · available globally
Direct answers

Data Wrangling and Fundamental Statistical Analysis with Python: the short answers

What is Data Wrangling and Fundamental Statistical Analysis with Python?
This course focuses on essential skills for cleaning, preparing, and exploring datasets using Python's core libraries. It provides junior analysts with the foundational capability to derive actionable insights from raw data.
Who is Data Wrangling and Fundamental Statistical Analysis with Python for?
It is pitched at Foundation level for Junior Data Analysts working in Data Analytics with Python or R, and is studied online from any country.
How long does Data Wrangling and Fundamental Statistical Analysis with Python take?
Around 12 hours of study, plus the assessed assignments and one applied project.
How is the certification assessed?
Every assignment and the final project are assessed automatically against the published criteria. The pass mark is 70%, and an item that does not pass can be resubmitted.
What do I receive when I pass?
Certified Junior Data Analyst, issued as a certificate with a unique ID that employers can check in the public certificate register.
How much does it cost?
£190 once, with no subscription.

What you will be able to do

  • Clean and pre-process messy datasets using pandas.
  • Perform exploratory data analysis to identify trends and outliers.
  • Implement basic statistical tests to validate data findings.
  • Visualize data distributions and relationships using Matplotlib.
  • Document analysis processes for reproducibility.

Written by Dr. Sarah Jenkins, Lead Data Scientist. Every submission is assessed automatically against the published criteria for Certified Junior Data Analyst, and the certificate is issued the moment the assessment is complete.

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