Fundamentals of Data Analytics with Python

This course will take you through the basics of data analytics using the Python programming language. It focuses on identifying the principles of scientific thinking and applying them in the context of data science.

Why Monash College?

Monash College’s innovative education and digital skills programs are grounded in strong, evidence-based methodologies. The College is wholly owned by Monash University and has more than 25 years’ experience designing, developing, delivering and reviewing learner-centred programs. It works with 2,000 industry partners to deliver industry placements for 3,000 students annually.

As an established teaching institution, Monash College has a strong cohort of teaching professionals who hold minimum tertiary qualifications in their fields of specialisation and current links to industry.

Victorian Government Funding

The Victorian Government’s Digital Jobs program aims to build the state’s digital workforce by training and upskilling mid-career Victorians so they can transition into digital careers. Through Digital Jobs, 5,000 mid-career Victorians will complete a six-month program that includes 12 weeks of industry-backed training followed by 12 weeks in a digital job with a Victorian business.

Registration information

Course information:

Mode of study This course is taught asynchronously (self-paced), with 12 – 14 hours of learning per week. A course trainer will guide you through your learning. Weekly sessions will be scheduled and trainers will participate in forums and be available to answer questions and provide guidance.
Duration 12 weeks
Where can it lead

The skills learnt through this program will best complement your existing skills and experiences from a wide variety of professional fields. Together, these useful and transferable skills can support transition into entry-level or support roles in the following areas:

  • Entry level Data Analysis roles
  • Entry level Data Modelling roles
  • Entry level Business Intelligence roles
Course load

12 - 14 hours per week, including 2 hours of optional drop-in time with the trainer.

Additional Services
  • Orientation
  • Support Services
  • Optional Employability modules
  • Digital badges
  • Access to campus facilities

Download the Digital Skills Program Unit Guide (PDF, 0.13 MB)

A taste of what's to come

  • Week 1 - Introduction to data science and Python

    Welcome to your first week of Introduction to Data Science and Python. As you might expect, this first week will have a heavy focus on not only introducing you to the tools used in this unit, but also making sure that you have a chance to meet the other participants, your trainer and, most importantly, that you have the space to familiarise yourself with the course structure and the learning environment. Core content for this week will include an introduction to Anaconda, Jupyter Notebook, Markdown, basics of data structures, selection and repetition.

  • Week 2 - Python Basics 1: Lambdas and Functions

    In Week 1 you had an opportunity to prepare for your learning and you were introduced to the course, Anaconda and your learning community. This week you will continue to develop your knowledge of some of the basic concepts of Python.

  • Week 3 - Python Basics 2: Data Structures and NumPy

    In Week 2 you had an opportunity to develop the basic concepts of Python. This week you will develop your understanding of data, be introduced to NumPy and develop some basic skills in NumPy.