Coaching & Mentoring

Our Coaching and Mentoring service quickly builds technical capabilities within your team by providing guidance on choosing questions, methods, software, and techniques and sharing technical expertise on how to apply industry accepted data modeling practices to your specific projects. Some examples include:

  • Framing business questions
  • Developing appropriate evaluation metrics
  • Developing a strategy for analytics base table (ABT) creation
  • Implementing modeling processes
  • Coaching and mentoring on the entire analytics life cycle
  • Hands-on modeling support and code walk-throughs
  • Consultation on potential new analytics efforts

Data Science experts are available through a combination of email, phone support, and in-person meetings to help your team with the practical application of data science techniques to quickly realize short term success and build analytic support and momentum.

Talk to an expert about analytic training and mentoring

Analytics Training 

Elder Research offers a variety of analytics training services, which provide an overview of the data science process and data mining tools and techniques. Additionally, custom on-site courses can be designed for your organization using data examples from your industry.

THE GAP: IS IT LEADERSHIP?

An Executive Overview for Harnessing Analytics Insight

Intended Audience: C-level Managers, Analytics Champion, Analytics Project Managers

Duration: 2 Hours

Location/Format: Webcast

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ANALYTICS CONCEPTS COURSE

Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links

Intended Audience: Analytics Champion, Analytics Project Managers, Decision Makers

Duration: 2 Day

Format: Classroom

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ANALYTICS PRACTITIONER COURSE

Data Mining: Principles and Best Practices

Intended Audience: Data Scientists, Data Analysts, Analytics Managers, Business Intelligence Analysts

Duration: 2-3 Days

Format: Classroom

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DATA WRANGLING IN R

An introduction to programming in R with applied data wrangling programming

Intended Audience: Data Scientists, Data Analysts, Business Intelligence Analysts

Duration: 4 Days (can be customized based on requirements)

Format: Classroom

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MAKING TEXT MINING WORK

Practical Methods and Solutions

Intended Audience: Data Scientists, Data Analysts

Duration: 4 Days (can be customized based on requirements)

Format: Classroom

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View a list of our training clients and testimonials