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Workshops, Workshops, Workshops!

Paul Derstine

September 14, 2018

BLOG_PAWgov Workshops

Predictive Analytics World for Government, the premier analytics and AI conference for government, starts next week. Keynote speakers include David Williams, USPS Board of Governors, Tom Davenport, a world-renowned analytics thought leader, author, and industry expert, and Dr. John Elder, Chairman and Founder of Elder Research, author and analytics practitioner. Elder Research will teach three workshops at the conference, offering insight on Machine Learning Methods, Deadly Analytics Mistakes, and Data Science for Managers.

Dr. John Elder, an in-demand instructor, keynote speaker, author and analytics practitioner with deep industry and academic experience will deliver the keynote address "The Greatest Science". He will also teach two 1-day workshops on "The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques" and "The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them". Dr. Carl Hoover, Chief Technology Officer at Elder Research, will teach a 1-day workshop on Data Science for Managers.

Here's a sneak peak at the what the workshops will cover:

The Best of Predictive Analytics: Core Machine Learning and Data Science Techniques

Intended for those interested in the fundamentals of modern machine learning techniques, this workshop is an introduction to data science for executives and managers of data science programs. It provides a high-level overview of modern data science concepts, tools, and techniques from a management perspective. All stages of the data science lifecycle will be discussed in the context of agile management methodologies using real-world case studies. Managers will learn how to identify skilled data scientists and build data science teams that use sound scientific methods to meet their organization’s objectives. Leaders will learn to ask the right questions, solve the right problems, keep data science projects on track, ensure their solutions are deployed and avoid common pitfalls along the way. Both technical and non-technical participants will benefit from this workshop and be equipped with the knowledge necessary to lead effective data science programs in their organizations.

What you will learn:

  • Basic concepts of data science and advanced analytics
  • Agile planning within a typical data science project lifecycle
  • Project scoping by defining appropriate data science tasks and objectives and problems to solve
  • Best and worst data science practices and how to avoid common pitfalls in data science management
  • Build effective data science teams within an organization

The Deadly Dozen: The Top 12 Analytics Mistakes and the Techniques to Defeat Them

This one-day session reveals the subtle mistakes analytics practitioners often make when facing a new challenge (the “deadly dozen”), and clearly explains the advanced methods seasoned experts use to avoid those pitfalls and build accurate and reliable models.

This workshop covers:

  • Antidotes: the best practices that overcome the most common flawed practices
  • Intuitive explanations of resampling methods that ensure your models work on new data
  • Practical tips for both the hard and the soft skills that will see your project through to implementation

Dr. Elder will survey the most advanced analytics tools in the practitioner’s toolkit, with particular emphasis on resampling tools – such as cross-validation and target shuffling (a method to avert p-hacking devised by Dr. Elder) – which reveal the true accuracy of your models.

Topics will also include visualization, feature engineering, global optimization, criteria of merit design, ensembles, and “soft” factors that affect success, such as human cognitive biases. Attendees will also leave with an understanding of the inner workings of the most popular algorithms – including regression, decision trees, nearest neighbors, neural networks, bagging, boosting, and random forests.

Throughout the workshop day, Dr. Elder will share his (often humorous) stories from real-world applications, illuminating the technical material covered.

If you’d like to become a more expert practitioner of predictive analytics, this workshop is for you.

What you will learn:

  • The 12 subtle pitfalls to watch out for on any new project
  • The latest ways to increase the value of predictive models and machine learning for your business
  • How to succeed when your biggest threat is not technology, but people (e.g., resistance to change)

Data Science for Managers

This workshop is an introduction to data science for executives and managers of data science programs. It provides a high-level overview of modern data science concepts, tools, and techniques from a management perspective. All stages of the data science lifecycle will be discussed in the context of agile management methodologies using real-world case studies. Managers will learn how to identify skilled data scientists and build data science teams that use sound scientific methods to meet their organization’s objectives. Leaders will learn to ask the right questions, solve the right problems, keep data science projects on track, ensure their solutions are deployed and avoid common pitfalls along the way. Both technical and non-technical participants will benefit from this workshop and be equipped with the knowledge necessary to lead effective data science programs in their organizations.

What you will learn:

  • Basic concepts of data science and advanced analytics
  • Agile planning within a typical data science project lifecycle
  • Project scoping by defining appropriate data science tasks and objectives
  • Best and worst data science practices - Avoid common pitfalls in data science management

Elder Research will sponsor a booth staffed by our executives and data scientists. Come visit us at Booth 2 to discuss how our Executive Analytics Strategy session and other consulting services can help you get more value from your data assets.  


Related

Need a Speaker for Your Analytics Conference? Learn more about our Speaking Services.

Download the e-book  Top 10 data Mining Mistakes

Read the blog Avoiding Common Data Science Business Mistakes


About the Author

Paul Derstine As Director of Marketing Paul Derstine works with clients to understand their data management goals and how Elder Research's vast experience with data transformation and predictive analytic model construction can deliver custom knowledge management solutions that enable continued return on their analytics investment. Prior to joining Elder Research, Paul worked for 18 years for GE Intelligent Platforms in Charlottesville. In his role as Motion and Machine Safety Product Manager, Paul worked with a broad spectrum of global customers to understand their business needs in order to deliver solution value and optimize profit and growth objectives. Paul has a B.S. degree in Electrical Engineering from The Pennsylvania State University.