This course is for specialists working in the data domain. It teaches some of the vital skills that are not part of the formal training of quantitative professionals, which are essential in the modern workplace and crucial to the success of analytics efforts as well as the careers of analytics professionals.
Issues covered include effective communication, including presentation and communication skills, “storytelling”, and effective listening and elicitation. Technical methods will be presented in the context of their communication value.
The course also shares key insights and “trade secrets” that have served Eugene Dubossarsky well over decades of consulting, enterprise and startup work. These include effective ways to structure teams, projects, and analytics functions and careers, as well as “managing up”, branding and work style.
Early bird pricing is available until 2 weeks prior.
This is an AlphaZetta public course – group discounts are available and also apply during the Early bird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.
|Audience||The target audience for this course are data analysis professionals with quantitative backgrounds – data scientists, BI professionals and data engineers.|
|Pre-requisites||Students should have completed or have equivalent knowledge to the course Data Literacy for Everyone|
|Objective||The objective of this course is to enable data scientists and related professionals to communicate better with the rest of the business. This would mean improving their ability to understand what is said to them, and to elicit more information when necessary, as well as to express ideas and findings, to influence and sell more effectively.|
|Course Author||Dr Eugene Dubossarsky|
|Trainer||Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors.|
|Delivery Method||In-person at AlphaZetta Academy locations or on-premise for corporate groups|
Meals and refreshments
Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.
Use firstname.lastname@example.org 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.
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.
Cancellations and refunds
You can get a full refund if you cancel 7 days or more before the course starts. No refunds will be issued for cancellations made less than 7 days 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.
Private and Corporate Courses
In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.
Scheduled Public Courses – BOOK NOW!
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Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.
Eugene’s introductory course to data science was outstanding.
I found the subject matter and delivery fascinating, accessible and informative. I found Eugene approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.