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Data Analytics

Data Analytics has seen rapid advances in recent years. With some of the sharpest minds in data science presenting, learn the latest techniques and processes to analyze raw data, be able to automate data into mechanical processes and algorithms, and hear use-cases focusing on how  data can be used to optimize business performance.

This focus area will cover many of the techniques for drawing conclusions and insights from raw data. You’ll learn from leading experts in the field and complete the conference with an understanding of how more efficiently and accurately analyze data by demonstrating your knowledge in SQL, Python and Data Storytelling.

Some of Our Confirmed Big Data & Data Analytics Speakers

Distinguished Professor, Statistics | DirectorQUT | QUT Centre for Data Science

Kerrie Mengersen, PhD

Kerrie Mengersen is a Distinguished Professor of Statistics and Director of the Centre for Data Science at QUT. Her career in statistical consulting and academic research has taken her across three states of Australia, the USA and France. Kerrie is a Fellow of the Australian Academy of Science, the Australian Academy of Social Sciences, and the Queensland Academy of the Arts and Sciences. Her overall ambition is to ‘use data better’, particularly in the fields of health, environment and industry. To this end, she has led over 30 major projects such as the current Long-term Benefits and Impacts Study with Queens Wharf Brisbane, the online interactive Australian Cancer Atlas and the Virtual Reef Diver program.

Making Private Data Open and Enhancing Decision-Making through Digital Atlases(Talk)

Co-FounderStoryIQ

Dominic Bohan

A TEDx speaker, Dom brings a wealth of data storytelling experience to StoryIQ from his career at QBE, one of Australia’s largest insurance companies. At QBE, he was a senior leader in data analytics and business improvement, presenting data-driven strategy recommendations to the company’s senior executives and producing reports for the Group Board of Directors.

Building a Data-Driven Workforce(Talk)

Associate ProfessorQueensland Technology University

Helen Thompson

Helen Thompson is an Associate Professor of Statistics in the School of Mathematical Sciences and the Centre for Data Science at QUT. She specialises in statistical modeling and machine learning. With expertise in high-dimensional data analysis, space-time modeling, and optimum experimental design, she has made significant contributions to various fields including health, environment, and social sciences. She has published extensively in leading journals and her work provides valuable insights into complex datasets, uncovering hidden patterns and informing optimal decision-making processes in projects including Optimal Resource Extraction with BHP, Emergency Department Demand Modelling with Queensland Metro South Health and Hospital Services, Great Barrier Reef monitoring programs, and the Australian Cancer Atals.

Making Private Data Open and Enhancing Decision-Making through Digital Atlases(Talk)

Clinical Associate ProfessorUniversity of Maryland, USA

Bharti Motwani

Bharti Motwani is the sole author of many books “Data Analytics with R” (Wiley), “Data Analytics using Python” (Wiley), “HR Analytics: Practical Approach using Python” (Wiley), “Machine Learning for Text and Image data: Practical Approach with Business Use Cases”
(Wiley) etc. Ambitious and analytical professional; IT and analytics consultant and corporate trainer; Result driven and articulate academician who can think “out of the box”, with more than 25 years of experience in teaching at professional and premium institutes at global level, research and software development. Demonstrated proficiency in writing books, editing and reviewing journals, and writing more than 50 research papers in leading international and national journals.

Big Data Analysis with PySpark (Workshop)

Co-FounderXaltius

A M Aditya

Aditya is a tech enthusiast with more than 7 years of experience across various technologies in data science, machine learning, deep learning and computer vision. He has completed his Masters in Data Science from the National University of Singapore. He has worked across various domains including automotive, banking, retail among others consulting various clients around the globe. He is a true believer of ‘You got to see it work to know it works’ and sets goals towards achieving the same in any of the endeavours he undertakes. Being highly inclined towards technology, he founded Xaltius Pte. Ltd in Singapore which has a major focus on building solutions in Data Science and AI and educating students and professionals in the same areas. He also founded Code for India which specializes in delivering top notch skills in Data Science and AI as required in the industry today. Apart from work, he loves to engage with kids and get involved in social work.

Leveraging Generative AI in Education(Talk)

Principal Developer Advocate, Data EngineeringAmazon Web Services

Suman Debnath

Suman Debnath is a Principal Developer Advocate (Data Engineering) at Amazon Web Services, primarily focusing on Data Engineering, Data Analysis and Machine Learning. He is passionate about large scale distributed systems and is a vivid fan of Python. His background is in storage performance and tool development, where he has developed various performance benchmarking and monitoring tools.

Build Classification and Regression Models with Spark on AWS(Workshop)


ODSC APAC Virtual Conference 2024

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Who will attend

The Open Data Visualization Conference is where industry’s top creative minds gather to discuss and shape the most exciting trends and topics in data visualization. Whether you are a data visualization expert, or just starting your journey on better data presentation, this is the conference for you.

  • Thought leaders working in data science

  • Data visualization professionals

  • Graphic artists

  • Data scientists

  • UX designers

  • Business intelligence experts

  • Graphic designers

  • Media & publishing data storytellers

  • Startup founders and executives

Why Attend

Organizations are now understanding the need to break down big data to make it intuitive, insightfu,l and actionable. Be among the first to understand the power of data analytics.

Immerse yourself in two days of in-depth talks and workshops on data analytics and data science topics, tools, and languages.

Get full access to the full suite of recorded presentations on-demand post conference.

With an incredible lineup, this event will provide training and insight to professionals who understand their organization’s need to deliver compelling data.

Get access to the Open Data Analytics Conference plus 3 other co-located conferences including open data science, big data science, and disruptive data science.

Connect with peers and top industry professionals at our many networking events to discover your next job, service, product, or startup.

ODSC APAC Virtual Conference 2024

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