Free Online Corporate Training Series: Intro to Python Register Now

Metis Blog

business resource

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.

filter by category:

ALL

alumni

business resource

careers

community

data science

events

interviews

news

projects

data science
5 Common Questions from Bootcamp Applicants

By Emily Wilson • February 17, 2020

While there are a number of ways to enter the data science field, we believe an immersive bootcamp is the most efficient and effective path with the best overall return on investment. But understandably, many people have questions about how a bootcamp will help them navigate the process of landing a job in the field. In this post, we share answers to 5 common questions that we receive from potential applicants.

data science
As Data Science Grows in Colombia, Grad’s Career Flourishes

By Emily Wilson • February 13, 2020

Bootcamp graduate Mónica Ramirez was well-positioned when the data science boom hit Colombia, where she was born and raised. Read how her experience at our New York City bootcamp helped further her career at home.

news
6 Lessons Learned in 6 Years at Metis

By Jason Moss • February 11, 2020

To mark our sixth anniversary, Metis Founder and President Jason Moss shares six (of the many) lessons he's learned along the way.

business resource
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.

business resource
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.

data science
Sr. Data Scientist Roundup: Quantitative Drawbacks of Word Clouds; How to Solve Math Puzzles, & More

By Emily Wilson • January 24, 2020

When our Sr. Data Scientists aren't teaching the intensive 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.

business resource
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.

alumni
Analysts in Chicago See Data Science Bootcamp Model as a Way Forward

By Emily Wilson • January 22, 2020

Read how (and why) three former Data Analysts in Chicago enrolled in the Data Science Bootcamp to shift their careers toward data science – and find out what they're up to now.

business resource
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.

previous page
next page