Fundamentals of Data Analytics with Python
Issued by
Monash College
The earner of this badge is a Digital Skills course participant who has demonstrated fundamental skills in basic data analytics using the Python programming language and by identifying the principles of scientific thinking and applying them in the context of data science.
- Type Validation
- Level Foundational
- Time Weeks
- Cost Paid
Skills
Earning Criteria
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Complete Python Basics over the first four weeks of the course, introducing to data science and python, before stepping through Lambdas, Functions, Data Structures, NumPy and Pandas.
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Complete Data management over the second four weeks of the course, covering Technical writing, Ethics, Data wrangling, Data cleaning and Data visualisation.
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Complete Exploratory Data Analysis over the final four weeks of the course, covering Mathematics Basics (with a focus on Statistics), provide multiple opportunities to practise exploratory data analysis, and conclude with an introduction to Regression.
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Submit three artefacts as part of a portfolio on Data Challenges; a series of short application-based tasks, two case Studies in a written report (Jupyter notebook) along with evidence of Git documentation and version control and presentation in recorded and written (Jupyter notebook). A pass grade is required for all three artefacts.