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Every week users submit a lot of interesting stuff on our sister site Webdesigner News, highlighting great content from around the web that can be of interest to web designers.

The best way to keep track of all the great stories and news being posted is simply to check out the Webdesigner News site, however, in case you missed some here’s a quick and useful compilation of the most popular designer news that we curated from the past week.

Web Typography Rules: What You Need to Know

 

How Microsoft Crushed Slack

 

Graphic Design Trends for Social Media in 2021

 

UX Christmas

 

Traxr – Monitor Links with 100% Accuracy

 

Hexometer 2.0: Monitor Website Issues and Performance Actively

 

Designing Data Science Tools at Spotify

 

Cow Pilot – The Deadline Driven To-Do List

 

Roy – A Simple & Delightful Color Picker for Designers

 

5 New SEO Tools for Marketers

 

21 Unique Web Design Trends for 2021

 

Newsletter Spy – A Database of 20,000+ Substack Newsletters

 

Visme 2.0 – All-in-one Design Platform

 

2020 Year in Review

 

How to Build a Web App: Key Steps for Starters

 

How to Create a Style Guide to Enhance your Brand’s UX

 

WordPress 5.6: New Features, Changes, and What Else to Expect

 

The Dos and Don’ts of Creating your Product Roadmap

 

Pantone Reveals Two Choices for its Colour of the Year 2021

 

Headlime 2.0 – Professional Marketing Copy for Anyone

 

Design for Sales: 10 Creative UI Designs for Ecommerce

 

How to Build a Strong Mobile App Brand

 

10 New Rules of Design

 

Remake 2.0: Make Web Apps with Just HTML and CSS

 

A Step-by-step Guide to Designing a New Feature for a Popular Product

 

Want more? No problem! Keep track of top design news from around the web with Webdesigner News.

Source


Source de l’article sur Webdesignerdepot

A data scientist extracts manipulate and generate insights from humongous data. To leverage the power of data science, data scientists apply statistics, programming languages, data visualization, databases, etc.

So, when we observe the required skills for a data scientist in any job description, we understand that data science is mainly associated with Python, SQL, and R. The common skills and knowledge expected from a data scientist in the data science industry includes – Probability, Statistics, Calculus, Algebra, Programming, data visualization, machine learning, deep learning, and cloud computing. Also, they expect non-technical skills like business acumen, communication, and intellectual curiosity.

Source de l’article sur DZONE