Education needs Chuang-Stein.ppt

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Education Needs for
Statisticians in
st
The 21 Century
Christy Chuang-Stein,
Statistical Research and Consulting Center
Pfizer Inc
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Premises
 If we don’t make the most of our disciplines
ourselves, how can we expect to be made
much of by others?
 The power of effecting changes for the
better is within ourselves, not in the
favorableness of circumstances.
 While leaders of the statistics profession
can provide vision for our profession, the real
driving force for our profession are the
individual statisticians.
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Desirable Qualifications
 Sound theoretical knowledge
 Identifying, formulating and solving problems
 Computing skills
 Verbal and written communication skills
 Willing to learn the basics of other disciplines and
relevant regulations
 Willing to listen
 A high standard of excellence
 Critical thinking
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Cultivated Qualifications
 Teamwork
 Time management
 Able to “speak to the audience”
 Negotiation
 Capable of innovation and adaptation
 Organizational and leadership skills
 Interpersonal and soft skills
 Ambassadors for our profession
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Qualifications with Maturity
 Enjoy sharing learning with others
 Serve as a mentor to junior statisticians
 Mix soft and technical skills to achieve maximum
effectiveness
 Appreciate all “branches” of statistics
 Give praise where praise is due.
 Feel comfortable speaking up
 Contribute to strategic decisions
 Talk a bit, but say a lot
 Repeat important ideas, from various angles
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Academic Education Focus
 Provide students with the basic technical and
computing skills.
 Teach students a way to analyze and solve problems
that could help them throughout their career.
 Show students how statistical thinking could be
applied to assess many quantitative decisions.
 Serve as a mentor and role model to students in all
aspects of their needs.
 Motivate students with the value of statistics.
 Demonstrate professional etiquettes.
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On-Job Professional Development
 It will be mostly self-driven and self-directed, with
support and guidance from management
 Keep long-term goals in sight even when experiencing
short-term diversions.
 Take advantage of learning opportunities
 Organized learning on process, SOPs, regulations etc
 Technical and soft skills training
 Advice from experienced statisticians, role models and
mentors, and external consultants
Maintain a Passion for Statistics.
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