Welcome & Introduction to Data Science Reading

Women in Data Science (WiDS) Reading 2017 Conference: Welcome Talk

Transcript

1. Independent Project Analysis Welcome… To the Women in Data Science (WiDS) Conference 2017 Reading, England Ifunanya Onwumere February 2017 Hosted by: Data Science Reading
2. CONFIDENTIAL 2 INDEPENDENT PROJECT ANALYSIS We Are Here Today Because… …We all have one thing in common!! Data
3. CONFIDENTIAL 3 INDEPENDENT PROJECT ANALYSIS We Are Here Today Because… Well, maybe a couple of things in common! Data Analytics business research technology software models problems tools engineering science communication algorithms solutions interpretations programming ideas work statistics platforms Dataset Dataset Dataset solutions solutions solutions communication marketing improve
4. CONFIDENTIAL 4 INDEPENDENT PROJECT ANALYSIS What My Job As An IPA Project Analyst Entails… Use Capital Projects Database Statistical Regression Models & Comparison Groups An IPA Project Analyst would typically combine the following skills • Bayesian Inference and Predictive Analysis • Data Visualization • Business and Project Knowledge • Writing and Presentation • A bit of programming Individual Project Evaluations Project System Benchmarking Fundamental Research Best Practices Quantitative Analysis
5. CONFIDENTIAL 5 INDEPENDENT PROJECT ANALYSIS Data Science: A Hybrid of Careers • Considered the sexiest job of the 21st century by Harvard Business Review • Fast evolving field of knowledge • Requires a mixture of multidisciplinary skills − Mathematics, statistics, computer science, communication and business • Entails continuous learning How can one stay ahead of the fast-evolution in Data Science?
6. CONFIDENTIAL 6 INDEPENDENT PROJECT ANALYSIS … Through Active Learning, Collaborations + More • Data Science Reading and other knowledge-sharing communities are helpful
7. CONFIDENTIAL 7 INDEPENDENT PROJECT ANALYSIS … Through Active Learning, Collaborations + More Global data science events • Data Science Reading objectives are 3-fold • Q& A Panel sessions • Networking events • Group collaborations Ex: ECMWF #Opendata Hack • Workshops • Technical talks • Company demo sessions • Tutorials • Data Festival, WiDS conference, WiMLDS etc.
8. CONFIDENTIAL 8 INDEPENDENT PROJECT ANALYSIS How You Can Make The Most of Data Science Reading Meetup • Volunteer Speakers (Industry and Academia) • Sponsorship • Attending ‒ Learning and Networking Opportunities All ideas are welcome …By getting involved
9. Independent Project Analysis THANK YOU And Enjoy Your Evening Hosted by: Data Science Reading