Remove Computer Science Remove Data Modeling Remove Tableau
article thumbnail

Analyzing the history of Tableau innovation

Tableau

Technical Fellow, Tableau. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Jock Mackinlay. Bronwen Boyd.

Tableau 145
article thumbnail

Analyzing the history of Tableau innovation

Tableau

Technical Fellow, Tableau. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Jock Mackinlay. Bronwen Boyd.

Tableau 98
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience. Many participants used beginner-friendly online interfaces, like NASA Worldview and Giovanni , to explore and manipulate data.

Power BI 264
article thumbnail

A Comprehensive Guide to Business Intelligence Analysts

Pickl AI

Ensuring data accuracy and consistency through cleansing and validation processes. Data Analysis and Modelling Applying statistical techniques and analytical tools to identify trends, patterns, and anomalies. Developing data models to support analysis and reporting.

article thumbnail

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis. Skills and Tools of Data Engineers Data Engineering requires a unique set of skills, including: Database Management: SQL, NoSQL, NewSQL, etc.

article thumbnail

From zero to BI hero: Launching your business intelligence career

Dataconomy

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

article thumbnail

From zero to BI hero: Launching your business intelligence career

Dataconomy

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.