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Available Now: Free On-Demand Webinar on Adopting Python in the Workplace

By Metis • March 31, 2020

We recently hosted a webinar on Exploring the Adoption of Python in the Workplace, during which our team broke down Python for data science and analytics, explaining what drives adoption and how companies are reacting to the shift.

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Upcoming Metis Talks at Virtual Open Data Science Conference (ODSC)

By Metis • March 30, 2020

The Open Data Science Conference (ODSC) East will be held in a virtual format this year from April 14-17, and two of our Sr. Data Scientists are all set to present. Here, read what they'll cover and how you can register to watch them live.

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Free Webinar: Exploring the Adoption of Python in the Workplace

By Metis • March 04, 2020

During this upcoming (free!) webinar, hear Mike Galvin, Metis Executive Director of Corporate Training & Kevin Birnbaum, Metis Sr. Data Scientist, break down Python for data science and analytics, explain what's driving adoption in the field, and discuss how industries and companies are reacting to the shift.

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Simulating Business Outcomes With Monte Carlo Simulations

By Tony Yiu • February 20, 2020

Too often in the business world, we think deterministically. We plan our finances, inventories, etc. for the base case – and it usually works out alright. (After all, the base case is the scenario that is most likely to unfold.) A better way to forecast and think about the future is probabilistically - and an intuitive way to do this is via Monte Carlo simulations. Read why here.

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Demystifying Data Science Talk Recap: Natalie Evans Harris on The Ethics of Data Governance

By Emily Wilson • February 06, 2020

This is the 6th installment in an ongoing blog series to recap the talks given on Day 2 of our 2019 Demystifying Data Science live online conference. In her talk, Natalie Evans Harris discusses the ethics and opportunities of data governance.

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The Importance of Lifelong Learning & Fostering a Growth Mindset with Your Analytics Team

By Eric Kuennen • January 29, 2020

It was once common to learn a skill, apply it to a job for 30 or so years, and call it a career. But rapid technological developments have made that approach a thing of the past, and it's now more important than ever to keep learning, evolving, and applying new approaches in order to do your best work. In this post, read how business leaders can encourage a learning and growth mindset within their analytics teams.

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Extracting Value from Untapped Data

By Javed Ahmed • January 24, 2020

Are you using the right data for decision-making? The under-utilization of data is a key reason why most companies fall short in efforts to scale the impact of analytics and mitigate potential risks. In this post, learn how to effectively extract value from untapped data.

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Demystifying Data Science Recap: The Joys and Perils of Scaling AI with Peter Guerra

By Emily Wilson • January 15, 2020

In this recap of Peter Guerra's Demystifying Data Science talk, we walk through three examples of different journeys to scaling AI, detailing the joys and perils of each. Plus, get practical tips for how your business can scale AI effectively.

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Demystifying Data Science Recap: The Challenges to Becoming 'Data-Centric'

By Emily Wilson • December 23, 2019

This is part of a blog series to recap the talks given on Day 2 of our 2019 Demystifying Data Science live online conference. During hers, Aubrey HB, Director of Advanced Analytics at Nationwide Building Society, discusses the challenges that legacy companies face in becoming data-centric.

business resource
Burtch Works Interviews Metis on Rise of Python in Business

By Emily Wilson • December 17, 2019

In a recent interview with Burtch Works, a leading executive recruiting agency, Metis Executive Director of Data Science Corporate Training Mike Galvin and Metis Sr. Data Scientist Kevin Birnbaum were asked about Python's rise in popularity among both practitioners and businesses.