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ACS Masterclass: R Programming Part 2 - Data Modelling

A sneak peak into Data Modelling using R Programming Language

Event Start: Wed 06 Sep 06:50 AM
Event Finish: Wed 06 Sep 09:30 AM

Completed

Registration End Date: Tue 05 Sep 09:30 AM


Building on the Fundamentals of the R Programming Language Masterclass Part 1 (available to view online in the ACS Member webinar library), this code along session (presented by expert Apurva Khemani) will explore:<br><br>1.    Revision of the first session<br>2.    Why R?<br>   a.    What are packages?<br>   b.    Importing data in R<br>3.    Introduction to Data Science<br>4.    Step-wise problem solving methodology <br>   a.    Data Manipulation in R<br>   b.    Data visualization in R<br><br>5.    Deep dive into Modelling with Regression<br>   a.    Linear Regression<br>   b.    Logistic Regression<br>6.    Decision Tree in R<br>7.    Introduction to time series analysis in R<br><br>ACS members can watch the recording of the first session at <a href="https://acs-preview.percipio.com/linked-contents/ce1f8dc7-5a7e-4d28-8569-f2925ddca461/videoOnly" target="_blank">this link</a>. Make sure you are logged in to the ACS website in order to access this.

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Facilitator

Apurva Khemani

Apurva Khemani

Data Scientist, TechnologyOne- R&D

Apurva Khemani hails from a small town in the northwest part of India called Ajmer. She completed a Bachelor’s Degree and a Master’s Degree in Technology for well-known universities of India and worked as a college faculty and a mathematics tutor for three years. When she got married in Feb 2017, she wanted to study more and give my career a new direction. Her search for pursuing a higher degree ended when she found the perfect course, amalgamating two of her interests, computer science and mathematics at Queensland University of Technology.

 It was called Master of Information Technology with a major in Data Science. Within a period of six months, Apurva landed in Australia in Feb 2018 with a zeal to learn and big dreams in her heart. Since graduating in December 2019, she has worked at prestigious organisations like QIMR Berghofer Medical Research Institute, Queensland Health and QUT. Also, her work has been recognised in a publication for Nature Medicine. Apurva’s career has been grounded in Data Science, concentrating on machine learning and data analytics in the clinical, biological and agricultural domains. This has allowed her to gain valuable experience in varied types of data related to gut health, microbiome, weather, vegetation parameters, supply chain and exports. With God's grace, on 7th October 2021, she became a Permanent Resident of Australia. Apurva has learned one thing in this journey, if you have a grateful heart then your dreams do come true!

A time to give back : #askApurva is an initiative to help and support people new to Australia. 
I am here for every student who comes to this country with big dreams, we will together make them true!!
If you are new to this country and have any questions about education, career, job hunt, or anything just send me a message on LinkedIn. I am here for you🙂
Please feel free to reach out on my website too: https://apurvakhemani.com/

You can look up the following for more:
https://membership.acs.org.au/member-insight/2020-08-10-5-minutes-with-apurva-khemani.html

https://membership.acs.org.au/member-insight/2021-08-04-My-emerging-tech-career-journey-apurva-khemani.html

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Olivia Zhou

Olivia Zhou

Software Engineer, Queensland Government and Events and Stakeholder Lead, ACS QLD Emerging Professionals Committee

Olivia is a software engineer at the Department of Manufacturing, Regional Development and Water in the state government. She is also the Events and Stakeholder Lead at ACS QLD Emerging Professionals Committee. Prior to her IT career, Olivia has 5 years of digital marketing experience in international consultancies.
 
With her IT and marketing background, Olivia is passionate about problem-solving to create positive social impacts.
 

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ACS Masterclass: R Programming Part 2 - Data Modelling

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  • Event Start:
    Wed 06 Sep 06:50 AM

    Event Finish:
    Wed 06 Sep 09:30 AM
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