WEBINAR: Democratizing Analytics from the Ground Up 28 April 2020

Data Science Central Webinar Series Event

Democratizing Analytics from the Ground Up Join us for the latest DSC Webinar on April 28th, 2020 How can you transition your business users from a manual, slow, and prone to error data transformation process in Excel into a scalable and governed solution leveraging a centralized data lake and change the way your employees access and use data? In this latest Data Science Central webinar you will learn how to: Empower self-service data analysis for all of your employees to use Data Prep and Data Studio Transition from a process that heavily relies on siloed Excel work to a Bring Your Own Data (BYOD) approach leveraging a centralized data lake Improve data governance and inspire business and IT collaboration with a single consistent approach to data preparation Accelerate analytics project delivery from months down to weeks Featured Speakers: Christopher Dean, Head of Data, Business Intelligence & Analytics -- Travis Perkins Bertrand Cariou, Sr. Director Product -- Trifacta Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Democratizing Analytics from the Ground Up Date:  Tuesday, April 28th, 2020 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Top 10 Magic Commands in Python to Boost your Productivity by Siddhesh Jadhav via @TDataScience

Implementation of important IPython magic commands in jupyter notebook.

Very useful and worth a bookmark or save in a file.

Machine Learning and Data Science free online courses to do in quarantine by Gonzalo Ferreiro Volpi via @TDataScience

From beginner to advanced. Get the most of the covid19-lockdown

Some great ideas on how you can stop yourself from being bored as well as do some self-improvement at the same time. I've done some of the free courses on Coursera and they tend to be really good and you learn a lot.

WEBINAR: How to Create Mathematical Optimization Models with Python - 29 April 2020

Data Science Central Webinar Series Event

How to Create Mathematical Optimization Models with Python Join us for the latest DSC Webinar on April 29th, 2020 With mathematical optimization, companies can capture the key features of their business problems in an optimization model and can generate optimal solutions (which are used as the basis to make optimal decisions). Data scientists with some basic mathematical programming skills can easily learn how to build, implement, and maintain mathematical optimization applications. The Gurobi Python API borrows ideas from modeling languages, enabling users to deploy and solve mathematical optimization models with scripts that are easy to write, read, and maintain. Such modules can even be embedded in decision support systems for production-ready applications. In this latest Data Science Central webinar, we will: Discuss the motivation for using Python in mathematical optimization applications Help you understand the importance of parameterizing a mathematical optimization model Review some of the best practices for deploying mathematical optimization models in Python Speaker: Juan Antonio Orozco, Optimization Support Engineer -- Gurobi Optimization Hosted by: Sean Welch, Host and Producer -- Data Science Central Title:  How to Create Mathematical Optimization Models with Python Date:  Wednesday, April 29th, 2020 Time:  9 AM - 10 AM PDT Space is limited so please register early: Reserve your Webinar seat now

5 Premium Courses You Can Access For Free This Month by Liana Mehrabyan via @TDataScience

Udacity offers one month of a premium degree for free, supporting Covid-19 crisis.

Something to stop yourself from being bored as well as keeping your brain active.  I recommend doing something constructive with your time.

Why Python is not the programming language of the future by @RheaMoutafis via @TDataScience

Even though it will be in high demand for a few more years yet.

Something to think about if you are wondering what else to learn.

24 Best (and Free) Books To Understand Machine Learning by Reashikaa Verma via @kdnuggets

KD Nuggets have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.

I great list of books that could be a useful use of time while you are in isolation.