8 New Tools I Learned as a Data Scientist in 2020

8 New Tools I Learned as a Data Scientist in 2020

Here are the 8 new technologies I learned in 2020. While many of the technologies that I learned in 2020 are more commonly associated with engineering rather than data science, it can be useful to learn these tools in order to learn to build end-to-end data products.

While 2020 has been a challenging year, I was able to use the transition to remote work to explore new tools to expand my data science skill set. It was the year that I made the transition from data scientist to applied scientist, where I was responsible for not only prototyping data products, but also putting these systems into production and monitoring system health. I had prior experience with tools such as Docker for containerizing applications, but I didn’t have experience with deploying a container as a scalable, load balanced application. While many of the technologies that I learned in 2020 are more commonly associated with engineering rather than data science, it can be useful to learn these tools in order to learn to build end-to-end data products. This is especially true for data scientists working at startups. Here are the technologies I learned in 2020:

  1. MLflow
  2. Kubernetes
  3. NoSQL
  4. OpenRTB
  5. Java Web Frameworks
  6. HTTPS
  7. Load Balancing
  8. Logging

docker

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Docker Explained: Docker Architecture | Docker Registries

Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub.

Docker Architecture Overview & Docker Components [For Beginners]

Docker Architecture Overview & Docker Components. This ultimate guide revolves around the underlying technologies used by Docker Containers to provide effective containerisation services to its users. It explains the entire Docker architecture and its components using intuitive diagrams.

Docker Tutorial for Beginners 8 - Build and Run C++ Applications in a Docker Container

Welcome to this on Docker Tutorial for Beginners. In this video provides an Introduction on C++ development with Docker containers. So we will see How to ship C++ Programs in Docker.

Docker: Installing Docker and Understanding basic docker commands

“Docker: Understanding Docker Architecture and Components”, The First thing we are going to do is to run the “docker run hello-world” command. This command tries to find the “hello-world” image locally and if not found, it then downloads an image from the docker hub and runs the container out of this image.

WordPress in Docker. Part 1: Dockerization

This entry-level guide will tell you why and how to Dockerize your WordPress projects.