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Data Science Fundamentals

Get your hands dirty with the R programming language in this 2 hour introductory course.

Data Science Fundamentals breaks it down to the 101. The 2-week intensive is designed for those who are unfamiliar with the tools and the language that is widely used in the realm of Data Science. For beginners and those considering a career switch to Data Science, this course provides you with a solid foundation skill from across the data science spectrum. 

The intention of the course is to make you feel comfortable using several widely used cutting-edge techniques and giving you an introduction to working in the Data Science field. Those who complete the Fundamentals course eligible to take part of the Data Science Short Course, which explores an advanced technique and is focused on industry projects to give you a head start in your career as a Data Scientist. 

Instructors

Hugh Parsonage

What to Bring

  • Laptop with RStudio and R-Project pre-installed

What to Expect

  • Introduction to the REPL
  • Data structures
  • Installing packages
  • Importing and exporting data
  • Reshaped and molten data
  • String manipulation and regular expressions
  • Summarizing data
  • Visualizing data

FAQ

Who's the instructor?

Hugh Parsonage studied mathematics and actuarial studies at the Australian National University.  He has had roles in data science and data mining in both private consultancy and government, most recently with the Australian Taxation Office's Corporate Analytics branch.  An avid user of R, Hugh is currently researching tax and consumption data to answer questions of government budget policy. He is also interested in betting markets, particularly their application to politics and psephology. 

Pre-Requisites

  • None

Where To From Here?

WHAT's NEXT?

LOCATION
Collective Campus

1/20 Queen St, Melbourne 3000

SCHEDULE
  • Tuesday, 4th October - Thursday 13th October 6:00 PM - 8:00 PM

    Every Tuesday & Thursday

COST
  • Super Early Bird: $395

    Early Bird: $445

    Regular: $495

ENROL
Enrol

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