What we're about

Learn how data science is used in your industry today and how to program proficiently in Python. We will bring in resources to help you will be able to automate data cleaning and processing, and be able to visualize data through static data visualizations.

Principles of Data Science
What is data science?
How is data science used in your industry?
What are the key steps to planning and implementing a data science project?

Intro to Python
Introduction to Anaconda
Define and identify foundational data types and structures
Use your data intelligently and learn how to handle it with care

Working with Data
Bridge the gap between mathematics and programming
Identify data types and how & when to use them
Build functions to automate processes

Data Visualization
Wrangle data for visualization
Build univariate and bivariate plots
Customize data visualizations
Create actionable insights and transform raw data into tangible value

Upcoming events (2)

Fighting Deep Fakes & Disinformation in the Age of Social Distancing

Fact-Checking Amid Social Distancing -- Advanced Tools for Journalists Social distancing increases the importance of providing solid, fact-based information to increasingly isolated readers who are most at risk for falling prey to disinformation, deep fakes, and rumors. Traditional fact-checking tools that rely on access to policymakers is hampered as well as those policymakers may not be available over the phone (because they are busy working on pandemic-related policy); they are certainly not available for random hallway encounters or a quick coffee. The risk of generating echo-chamber stories increases as hard information becomes more difficult to access. Many of the public policy initiatives being implemented are not only very technical but they will generate long-lasting implications for the economy and could be difficult to unwind later. Because they are technical, they are easily missed. This meetup will provide members with helpful guides and suggestions for how to identify concrete facts even without access to advanced AI systems. It will also provide members with strategies for finding different angles and under-reported items that will benefit everyone. Data-driven journalism requires access not only to quantitative data and the ability to generate data-driven stories; it also requires access to unstructured data (words) from the public policy process. In this Meetup, we'll review a range of options and strategies, some of which are free. Specialized public interest rates for acess to the more advanced technology options will also be available to participants as a public service. When: Apr 3,[masked]:00 AM Eastern Time (US and Canada) Topic: Data-Driven Journalism Amid Social Distancing https://zoom.us/webinar/register/WN_xX1MyLMoRK-afQMgSPm8UQ

Scaling Data Migrations Using Modular Data Frameworks (Virtual)

New York Hilton Midtown

Due to the popularity of the event & because some who wanted to join were not able to, we're rerunning this event. We will be having two Workday experts on this time. VERY IMPORTANT: You need to register at this link https://hubs.ly/H0nwjVY0 to get the WebEx instructions. Data migration can be viewed as a nuissance, despite being a very common process for virtually every single organizations moving into the Workday world. We've worked on many migration projects where precision has been the key to success. On this webinar we'll discuss how automation and repeatable processes allows not only faster migration time from weeks to days, but also the added confidence in the migrated data. We'll talk about the important role migration frameworks play for organizations implementing Workday, with a real-life example we did for a client. Join the webinar and learn: Pitfalls of traditional approaches Benefits gained from repeatability and automation (including some sanity checks) How to scale with modular data frameworks Example of a Workday migration framework/template You have to register at the following link to get the Webex Instructions: https://hubs.ly/H0nwjVY0 The start time on the webinar is 11 am EST. If you'd like the materials (recording & slides), but can't make it to the live event, please still register as we'll be sending out the materials to all registrants.

Photos (1)