$2,112 – $2,860

Strategic Decision-making with Data for Executives: Sydney, 2–3 May 2019

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Location

City Desktop

Level 4

60 York Street

Sydney, NSW 2000

Australia

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Description

By booking this course, you agree to our terms and conditions.

For any enquiries, please call 0414 57 33 22.

If you prefer, you can pay by invoice rather than credit card. For instructions, click here.




Strategic Decision-making with Data for Executives

This is a course not for analytics professionals, but for executives and managers who want to leverage analytics to support their most vital decisions.

The most valuable use of analytics is in support of the most important decisions in the organisation. The effective use of data and analysis promises better decision-making at all levels of the organisation, yet the highest levels tend to go unserved.

This course serves to empower senior executives with skills to make more effective use of data analytics. It covers strategic decision-making in a rigorous context, and shows attendees ways to use data to make better decisions. Attendees will learn how to receive, understand and make decisions from a range of analytics methods, including visualisation and dashboards. They will also be taught to work with analysts as effective customers.

This course will also offer a highly general, effective and applicable toolkit for objectively assessing leadership consensus on important decisions, making those decisions in a better and constantly improving way, objectively measuring decision-making effectiveness and identifying the best decision-makers in the team. Finally, this course will also cover the creation, management and necessary support of an effective and thriving analytics function in support of its executive sponsor and client.


See what former trainees are saying about this course.


Discounts

Group discounts also apply during the earlybird period: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Select your desired quantity of tickets and click “Add to cart” to see the discount calculated before checkout.

Please contact us at enquiries@presciient.com to find out more about these special rates.


Course instructor

Courses are taught by Dr Eugene Dubossarsky and his hand-picked team of highly skilled instructors.


About our training

Eugene Dubossarsky’s courses are unlike those offered in universities, online, or by private providers. His data-science classes, in particular, give clients not just knowledge of a process, but the real power of understanding the underlying concepts, allowing them to confidently practice, manage, promote and risk-assess data science.

Dr Dubossarsky says “the way many courses teach data science is like teaching people to memorise and recite poetry in a language they do not understand”. By contrast, he confers an understanding of that language, taught in an intuitive, accessible way that leaves trainees with an instinct for data science. Keeping formulae and mathematics to a bare minimum and taking an intuitive, visual approach, Eugene’s courses deliver a compressed mentoring experience as much as they do content. This is difficult for an average trainer to replicate. Trainees benefit from his extensive knowledge and over 20 years of commercial data-science experience, as well as his unique teaching style.

The resulting testimonials speak for themselves, and candidates come from all walks of life: CEOs, general managers, salespeople, IT professionals, marketing staff, public servants and of course people from many functions in the finance world. These testimonials are extensive, and many more are available on request. With specific regard to finance, Eugene has mentored and advised senior leaders and their teams in a number of major Australian banks.


Testimonials

Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!

—Damon Rasheed, CEO, Rate Detective


For someone who does not come from an IT background R is a terrifying program. Before doing the Introduction to R course I had previously done other courses in R but always found myself in over my head because they assumed a high level of program experience (even course that required no prior programming knowledge). This course is not like that at all. It starts at ground zero and teaches you everything you need to know to be able to use R confidently in your everyday workplace. It is a must attend for anyone who wants use R!

—Alix Duncan


Data science can be a challenging topic but Eugene’s “Introduction to Machine Learning” course turns complex statistical models into plain English. The course contents and presentation were accessible and I enjoyed the mixture of hands-on rattle() exercises, the challenge of building multiple models with real life data, and the salient theory whiteboard discussions created many “aha" moments.

It was a great introductory course and it gave me with a better grasp of Machine Learning in general, a great framework for thinking about it and practical hands-on skills that I can put to immediate use. I wish I had done this course sooner.

—Charl Swart, Director of Business Operations, Unisys Credit Services


Meals and refreshments

Catered morning tea and lunch will be provided on both days. Please notify us a week ahead of training regarding any dietary requirements..


Feedback

Use enquiries@presciient.com to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.

If you would like to attend but for any reason cannot, please also let us know.


Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.


Cancellation and refunds

You can get a full refund if you cancel 2 weeks or more before the course starts. No refunds will be issued for cancellations made less than 2 weeks before the course starts.


Frequently asked questions (FAQ)

Do I need to bring my own computer?

There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

I'm lost! How do I find the venue?

Please call 04 1457 3322 or email training@presciient.com if you can’t find the venue.


Presciient Training Coaching, Mentoring and Capability Development for Analytics

Please ask about tailored, in-house training courses, coaching analytics teams, executive mentoring and strategic advice and other services to build your organisation's strategic and operational analytics capability.

Our courses include:

  • Predictive Analytics, Machine Learning, Data Science and Al
  • Data Literacy for Everyone
  • Introduction to R and Data Visualisation
  • Introduction to Python for Data Analysis
  • Forecasting and Trend Analytics
  • Advanced Machine Learning Masterclass
  • Advanced Masterclass 2: Random Forests
  • Advanced R
  • Quantum Computing
  • Text and Language Analytics
  • Fraud and Anomaly Detection
  • Introduction to Machine Learning
  • Introduction to Data Science
  • Kaggle Boot Camp
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Date and Time

Location

City Desktop

Level 4

60 York Street

Sydney, NSW 2000

Australia

View Map

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