Tableau

AUGUST 5, 2022

Similar to the advancements in telescope technology, data visualizations 10 years ago were no where near the art they’ve become today. Vizzes advance as the industry learns more about accessibility and human cognition, and as improved data literacy pushes the world to be more data driven. Go TEAM DATA!

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Tableau Data Visualization Data Analyst Analytics 98

Towards AI

NOVEMBER 17, 2023

Image by Author Mercedes continues to dominate f1, winning the constructors championship from 2014 to 2021. Red Bull’s slump began after 2014, and it has been unable to beat Mercedes for the past seven years. Valtteri Bottas has consistently performed for Mercedes, always finishing in the top 5 of the standings.

Tableau 119

Tableau Data Science Data Analysis Data Analysis 119

Smart Data Collective

SEPTEMBER 25, 2019

Big data has been billed as being the future of business for quite some time. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The impact of big data is felt across all sectors of the economy. However, the future is now. The market for Hadoop jobs increased 58% in that timeframe.

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Tableau

MAY 6, 2021

Our partners at PolicyLink launched their National Equity Atlas in 2014. Developed with USC’s Equity Research Institute , the Atlas is one of the most powerful resources for data on racial inequities in the country. The Lab is designed as a comprehensive data visualization resource for organizers working for racial equity and justice.

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Tableau Data Visualization 52

Alation

FEBRUARY 20, 2020

And this is why we’re excited to partner with Satyen Sangani, Venky Ganti, Aaron Kalb and the rest of the Alation team as they scale go-to-market for the Alation data catalog. Today most progressive data-centered businesses have modern data visualization tools and some form of data lake. It’s that simple.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

Tableau

DECEMBER 1, 2021

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog.

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Chatbots Life

MAY 16, 2023

Deeper Insights Year Founded : 2014 HQ : London, UK Team Size : 11–50 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health.

AI 92

AI AI Natural Language Processing Artificial Intelligence 92

Tableau

APRIL 3, 2024

Hunting for a job in contracts after giving birth to her first child, an opportunity arose to test data visualizations produced by a team using Tableau. By 2014, Jessica was a full-time Tableau viz tester. “As She took a degree in nutrition and food science, and in 2013 went on to do an MBA with a specialization in contracts.

Tableau 52

Tableau Data Analyst Data Visualization 52

Tableau

DECEMBER 1, 2021

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog.

Tableau 98

Tableau ML ML Database 98

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. There was rapidly growing demand for data science skills at companies like Netflix and Amazon. Prominent use cases focused on marketing and content recommendations.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

phData

MAY 25, 2023

Two of the platforms that we see emerging as a popular combination of data warehousing and business intelligence are the Snowflake Data Cloud and Power BI. Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well.

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Pickl AI

MAY 16, 2023

Data Scientist LinkedIn Profile Example Marla Smith, Senior Data Scientist at ABC Company Summary: Experienced data scientist with a strong background in statistical analysis, machine learning, and data visualization. Passionate about leveraging data to drive business decisions and improve customer experience.

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Data Scientist Data Science SQL Python 52

Heartbeat

OCTOBER 13, 2023

Jupyter Notebooks: Jupyter Notebooks allow users to create and share documents that contain live code, equations, visualizations, and narrative text, making it a popular choice for documenting and sharing time series analysis workflows. The Data was obtained from the website of the Bureau of Health, Xinjiang Uyghur Autonomous Region, China.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Cambridge Intelligence

JUNE 28, 2023

In the lead up to this, my day job as a software developer gave me a break from hard training rides, but my love of cycling sparked a mini side project: building web apps with the data visualization tools I help to develop, and using them to analyze and visualize Tour de France data.

Clustering 52

Clustering Data Visualization 52

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. Visualizing data with ArangoDB Azure Cosmos DB “A graph database service that can be used to store massive graphs with billions of vertices and edges.

Database 59

Database Azure Analytics Analytics 59

Mlearning.ai

FEBRUARY 28, 2023

These are common Python libraries used for data analysis and visualization. Year: More than half the cars in the data were manufactured in or after 2014. Brand: Most of the cars in the data belong to Maruti or Hyundai. I began by importing pandas, matplotlib, and seaborn into my notebook.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

ODSC - Open Data Science

JANUARY 29, 2024

Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies. Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Cambridge Intelligence

AUGUST 20, 2024

The ultimate guide to graph visualization Everything you need to start designing your best graph visualization application. Download the guide With our data visualization toolkits , you’re not restricted by your choice of technology: they’re compatible with every framework.

Data Visualization 52

Data Visualization Database Analytics Analytics 52