Domino Data Lab

JULY 15, 2021

While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. They may be GUI based or require extensive programming experience. Types of Data Science Tools. Data Languages.

Data Science 145

Data Science Visualization Modeling Enterprise 145

O'Reilly on Data

SEPTEMBER 15, 2021

64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts. Salaries by Programming Language. Salary vs. programming language. Salaries by Gender. How do we explain this?

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

The Data Visualisation Catalogue

JANUARY 24, 2023

After consuming a number of YouTube videos, blog posts, articles, and playing around with ChatGPT, I felt the need to write down my thoughts and observations on the topic. Point #3 is kind of pointless or badly written because the category names should already be in the category axis.

Visualization 114

Visualization Interactive Data-driven Testing 114

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Reflow enables scientists and engineers to compose existing tools (packaged in Docker images) using ordinary programming constructs.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. We live in a constantly-evolving world of data.

Statistics 97

Statistics Metrics Visualization Finance 97

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. Where are the leading educational programs in data science? Introduction. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Depict Data Studio

APRIL 27, 2020

” That being said, you’ve got to use some software program. Learn about scaling, shading, collapsing categories, and building diverging or small multiples charts. Module 8: Select a Software Program (12 lessons; 21 min). ” That being said, you’ve got to use some software program.

Visualization 52

Visualization Software Reporting Dashboards 52